Journal articles: 'Maintainability'

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Chaudhary, Ritika, and Ram Chatterjee. "Predilection of Reusability over Maintainability in Aspect-Oriented Systems." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (May 30, 2013): 423–35. http://dx.doi.org/10.24297/ijct.v6i3.4482.

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Maintenance is the important phase in software development lifecycle which initiates after the software has been deployedÂ for use. Reusability is an important area of concern which depicts the extent to which a module can be used again inÂ different applications with slight or no modification. Maintainability is one of the contributing factors for assessingÂ Reusability. So, assessment of Reusability is preferred over Maintainability.Â This paper has been split into Introduction, Role of Maintainability, Role of reusability and conclusion. In the introduction section the concept that how the software evolves has been discussed. The second section focuses on the Role ofMaintainability. The third second emphasizes on the Role of Reusability within the domains of Object-OrientedÂ Programming and Aspect-Oriented Programming. In the last section we have concluded that assessment of ReusabilityÂ must be given more preference over the assessment of Maintainability.

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ENGORON, EDWARD J. "MAINTAINABILITY." Journal of the American Society for Naval Engineers 70, no. 2 (March 18, 2009): 327–30. http://dx.doi.org/10.1111/j.1559-3584.1958.tb05891.x.

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Swanson, E. Burton. "IS “maintainability”." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 30, no. 1 (January 1999): 65–76. http://dx.doi.org/10.1145/342251.342267.

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Barranco García, Manuel J., and Juan Carlos Granja Alvarez. "Productive maintainability." ACM SIGSOFT Software Engineering Notes 21, no. 2 (March 1996): 89–91. http://dx.doi.org/10.1145/227531.227547.

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Zhang, Ming, Hai Jun Su, Long Yuan, and Jing Tao. "Research on Problems and Basal Theory of Engineering Equipment’s Maintainability Test." Advanced Materials Research 328-330 (September 2011): 2446–49. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.2446.

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Engineering equipment is an important element of modern information operation. Because of the special operational function, engineering equipment will be confronted with more attack and damage probabilities than other equipments. Nowadays maintain is become an important factor to keep and even improve operation effectiveness of engineering equipment, and maintainability test is the main means to evaluate engineering equipment’s maintainability. But according to late information of maintainability test study, guide and experience are lacked in engineering application of engineering equipment’s maintainability test, and many problems are existed in engineering equipment’s maintainability test obstinately. To improve ways of engineering equipment’s maintainability test and evaluate engineering equipment’s maintainability more scientifically, the content and the procedure of engineering equipment’s maintainability test are brought forward.

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Ge, Zhexue, Yi Zhang, Fang Wang, Fang Wang, and Yongmin Yang. "Virtual–real fusion maintainability verification based on adaptive weighting and truncated spot method." Eksploatacja i Niezawodnosc - Maintenance and Reliability 24, no. 4 (October 2, 2022): 738–46. http://dx.doi.org/10.17531/ein.2022.4.14.

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Maintainability is an important general quality characteristic of products. Insufficient maintainability will lead to long maintenance time and high maintenance cost, thus affecting the availability of products. Maintainability verification is an important means to ensure maintainability meets design requirements. However, the cost of traditional real maintainability verification method is very high, and the virtual maintenance method has insufficient verification accuracy due to the lack of large maintenance force feedback when the human body is moving. In order to reduce the evaluation error and test sample size, the paper conducts maintainability verification based on the mixed physical and virtual maintainability test scenarios. Aiming at the problem that traditional methods are difficult to deal with the real test information and synchronous virtual simulation information in the test process, this study proposes a virtual–real fusion maintainability evaluation algorithm based on adaptive weighting and truncated SPOT (Sequential Posterior Odd Test) method. It can weigh real test information and virtual human simulation information adaptively to obtain a virtual–real fusion maintainability test sample. Then, the SPOT method is used to evaluate the maintainability of small samples. The adjustment of valve clearance, replacement of air filter element and replacement of starting motor maintenance tasks of ship engine are taken as examples for demonstration. The virtual–real fusion and virtual maintainability verification methods are respectively used for verification, and compared with the physical maintenance scenario constructed by 3D printing, indicating that the accuracy of virtual–real fusion maintainability test verification is 89%, while the virtual maintainability verification is only 33%.

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Liu, Tie Lin, and Cheng Zhang. "Study on Concurrent Maintainability Design Based on Pro/INTRALINK." Applied Mechanics and Materials 470 (December 2013): 452–55. http://dx.doi.org/10.4028/www.scientific.net/amm.470.452.

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In order to make product maintainable, maintainability engineering encourages sufficient focus on product maintenance at early development stage, and systematic maintainability design throughout product development and design. Maintainability and other life cycle aspects should be concurrently design into product. Integrated maintainability information model is established. Based on product assembly information model, the components of integrated maintainability information model, and how to integrate this model with design process model are discussed respectively. With Pro/INTRALINK as product data management platform, an integrated environment which supports concurrent maintainability design and its establishment steps are explored, including configuring basic environment, establishing master information model, defining and managing design flow, which provide and effective methods for concurrent maintainability design.

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Xu, Da, Bao Qi Wang, and Xi Wu. "Research on the Method of Materiel Maintainability Qualitative Requirement Demonstration Based on Virtual Simulation." Applied Mechanics and Materials 347-350 (August 2013): 3750–53. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3750.

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Aiming at the disadvantage of existing materiel maintainability quantitative requirements demonstration method, this paper studied the project of the materiel maintainability qualitative requirement demonstration Based on virtual simulation, in order to determine the materiel maintainability qualitative requirement, the accessibility and visibility as an example to illustrate the virtual demonstration method. It is significant for developing maintainability demonstration and increasing materiel maintainability in the course of materiel digital mock-up designing.

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Wang, Ke, and Marc H. Graham. "Constant-time maintainability." ACM Transactions on Database Systems 17, no. 2 (June 1992): 201–46. http://dx.doi.org/10.1145/128903.128904.

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Chew, M. Y. L., Sheila Conejos, and Ashan Senel Asmone. "Developing a research framework for the green maintainability of buildings." Facilities 35, no. 1/2 (February 7, 2017): 39–63. http://dx.doi.org/10.1108/f-08-2015-0059.

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Purpose The aim of this paper is to present a research framework for the green maintainability of buildings. This study makes the case for the development of a new concept called “green maintainability”. The paper also identifies and discusses the knowledge gap concerning green facilities management (FM). As an integral part of green FM, the economic, environmental and social impacts and opportunities of green maintainability throughout the total life cycle of the facility are also highlighted. Design/methodology/approach The little attention paid to the maintainability of green buildings has resulted in losses of lives due to occupational health and safety hazards as well as high operation and maintenance costs. To address this issue, this study has conducted a literature review to determine the relevant background knowledge and provides a conceptual framework that will aid in conceptualizing the green maintainability of buildings and the development of a research framework for the furtherance of this concept. Findings This paper finds that there is little research on the maintainability of green buildings, and the studies about the maintainability of green features are nonexistent in current research. This study confirms the knowledge gap of this little-researched area and draws from it the formulation of a research framework for the green maintainability of buildings to ensure green FM. Emerging literature on green practices and methods is currently receiving attention from academia, as well as building and construction practitioners, and can valuably contribute to the existing theories, practices and methods concerning building maintainability and facilities management. Originality/value This study develops the novel concept of green maintainability, which integrates maintainability and green FM at the planning/design stage. The proposed research framework is the first attempt to investigate the green maintainability of different typologies of buildings and especially green building technologies.

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Luo, Xu, Yong Min Yang, Zhe Xue Ge, and Xi Sen Wen. "Evaluation and Decision-Making Method for Maintainability Design Based on Fuzzy Preference." Applied Mechanics and Materials 401-403 (September 2013): 2242–46. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.2242.

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Considering the uncertainty of maintainability design factors and the fuzzy preference information in evaluation values, an evaluation and decision-making method of maintainability was proposed. The linguistic assessment values of maintainability design factors were converted to trapezoid fuzzy numbers by fuzzy set theory, and decision weights under fuzzy preference were given based on maximizing deviation method. Then, evaluation model of maintainability design was established, and confidence index of evaluating decision was given. At last, a case study was given and the result showed that the method is reasonable and effective for maintainability evaluation.

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Mguni, Kagiso, and Yirsaw Ayalew. "An Assessment of Maintainability of an Aspect-Oriented System." ISRN Software Engineering 2013 (February 10, 2013): 1–11. http://dx.doi.org/10.1155/2013/121692.

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Software maintenance is an important activity in software development. Some development methodologies such as the object-oriented have contributed in improving maintainability of software. However, crosscutting concerns are still challenges that affect the maintainability of OO software. In this paper, we discuss our case study to assess the extent of maintainability improvement that can be achieved by employing aspect-oriented programming. Aspect-oriented programming (AOP) is a relatively new approach that emphasizes dealing with crosscutting concerns. To demonstrate the maintainability improvement, we refactored a COTS-based system known as OpenBravoPOS using AspectJ and compared its maintainability with the original OO version. We used both structural complexity and concern level metrics. Our results show an improvement of maintainability in the AOP version of OpenBravoPOS.

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Teymourian, Kiumars, Dammika Seneviratne, and Diego Galar. "Ergonomics Contribution in Maintainability." Management Systems in Production Engineering 25, no. 3 (September 26, 2017): 217–23. http://dx.doi.org/10.1515/mspe-2017-0031.

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AbstractThe objective of this paper is to describe an ergonomics contribution in maintainability. The economical designs, inputs and training helps to increase the maintainability indicators for industrial devices. This analysis can be helpful, among other cases, to compare systems, to achieve a better design regarding maintainability requirements, to improve this maintainability under specific industrial environment and to foresee maintainability problems due to eventual changes in a device operation conditions. With this purpose, this work first introduces the notion of ergonomics and human factors, maintainability and the implementation of assessment of human postures, including some important postures to perform maintenance activities. A simulation approach is used to identify the critical posture of the maintenance personnel and implements the defined postures with minimal loads on the personnel who use the equipment in a practical scenario. The simulation inputs are given to the designers to improve the workplace/equipment in order to high level of maintainability. Finally, the work concludes summarizing the more significant aspects and suggesting future research.

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De Silva, Nayanthara, Malik Ranasinghe, and Chathura Ranjan De Silva. "Risk analysis in maintainability of high-rise buildings under tropical conditions using ensemble neural network." Facilities 34, no. 1/2 (February 1, 2016): 2–27. http://dx.doi.org/10.1108/f-05-2014-0047.

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Purpose – The aim of this research study is to develop a risk-based framework that can quantify maintainability to forecast future maintainability of a building at early stages as a decision tool to minimize increase of maintenance cost. Design/methodology/approach – A survey-based approach was used to explore the risk factors in the domain of maintainability risks under tropical environmental conditions. The research derived ten risk factors based on 58 identified causes related to maintainability issues as common to high-rise buildings in tropical conditions. Impact of these risk factors was evaluated using an indicator referred to as the “maintenance score (MS)” which was derived from the “whole-life maintenance cost” involved in maintaining the expected “performance” level of the building. Further, an ensemble neural network (ENN) model was developed to model the MS for evaluating maintainability risks in high-rise buildings. Findings – Results showed that predictions from the model were highly compatible and in the same order when compared with calculations based on actual past data. It further showed that, maintainability of buildings could be improved if the building was designed, constructed and managed properly by controlling their maintainability risks. Originality/value – The ENN model was used to analyze maintainability of a high-rise building. Thus, it provides a useful tool for designers, clients, facilities managers/maintenance managers and users to analyze maintainability risks of buildings at early stages.

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Chen, Wen Hong, and Xiao Wei Wang. "A Way to Predict and Evaluate of Software Maintainability Based on Machine Learning." Advanced Materials Research 926-930 (May 2014): 2924–27. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2924.

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The accurate maintainability prediction and evaluation of software applications can improve the designing management for these applications, thus benefiting designing organizations. Therefore, there is considerable research interest in development and application of sophisticated techniques which can be used to build models for both predicting and evaluating software maintainability. In this paper, we investigate some ideas based on Machine Learning, Natural Language Processing, Fuzzy Logic, and Systematic Model of Software Maintenance. The idea to compute Interactive Index and the maintainability of software system is useful to study the relation between maintainability prediction and maintainability evaluation in the whole software process. An model basing on fuzzy matrix and BP neural network is built up. It’s approved that there are application value of using this model based on BP neural network to predict and evaluate the software maintainability.

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Jin, Liying, Wensheng Wang, HouYong Shu, Xuemei Ma, Chenxing Liang, and Qiang Ma. "Application Research on the Maintainability Allocation Method of a Certain Shooter Seat." Mathematical Problems in Engineering 2021 (December 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/9376450.

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In view of the traditional maintainability allocation method for a certain shooter seat for maintainability allocation did not consider the lifecycle expense problem, the improved NSGA-II algorithm (iNSGA-II, for short) is adopted to establish a multiobjective comprehensive trade-off model for a certain shooter seat product lifecycle maintenance-related expenses and mean time to repair (MTTR, for short) and construct multiobjective optimization problem. The experimental results show that the Pareto optimal solution effectively solves the limitation of the traditional maintainability allocation method and then provides a basis for a certain shooter seat to obtain a reasonable maintainability allocation scheme. The superiority of the iNSGA-II algorithm to optimize the maintainability allocation of a certain shooter seat was verified by comparing it with the traditional maintainability allocation method.

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Lu, Zhong, Jie Liu, Li Dong, and Xihui Liang. "Maintenance Process Simulation Based Maintainability Evaluation by Using Stochastic Colored Petri Net." Applied Sciences 9, no. 16 (August 9, 2019): 3262. http://dx.doi.org/10.3390/app9163262.

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Maintainability is a critical design characteristic of products. Maintainability evaluation plays an important role in maintainability design. Existing maintainability evaluation approaches neglect logistic effects on system maintainability. In this paper, tuples of stochastic colored petri nets (SCPN) are used to express the constituents of a maintenance process; and the maintenance process model is developed based on the SCPN. Approaches for calculating the required maintenance resources are proposed according to the state equation of the SCPN, and a method for calculating maintenance time is proposed by using an SCPN based discrete-event simulation. Finally, the line maintenance of a wheel steering system is used as a case study to illustrate the application and effectiveness of our proposed approaches. The work discussed herein provides a maintainability evaluation methodology based on the maintenance task demonstration that is conducted on the digital mockup of products. The approaches can be applied in the design stage when there are no physical mockups, and the maintainability design can be carried on concurrently with the development of products.

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Liu, Hui, and Jian Ping Hao. "Study of the Model and Algorithm in Linear Programming of Maintainability Growth Project." Applied Mechanics and Materials 271-272 (December 2012): 1427–33. http://dx.doi.org/10.4028/www.scientific.net/amm.271-272.1427.

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In order to solve the planning problem of maintainability growth project, study of the model and algorithm in linear programming of maintainability growth project is put forward. Firstly, the linear relationship of factor and target as an example, the mathematical model of maintainability growth project planning is put forward in the article, and a general solution method is mentioned. Then according to the maintainability growth problem’s characteristic, the algorithm is improved. A solution method is brought out which is about simplex method with variable changed form 0 to 1- γi. This Algorithm makes the solution of maintainability growth project planning become much simpler than before.

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Ge, Zhexue, Yi Zhang, Yongmin Yang, Xu Luo, Qiang Li, and Fang Wang. "A New Maintainability Evaluation Method Based on Virtual-real Fusion Scene Construction." Scientific Programming 2022 (March 9, 2022): 1–12. http://dx.doi.org/10.1155/2022/6547225.

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Maintainability is one important attribute of product quality. Maintainability evaluation is important to reduce maintenance cost and improve availability. With this research work, an effective maintainability evaluation method is proposed by mingling virtual environment and real world physical equipment. In order to reduce the cost of maintainability test scenario construction, the surrounding environment of physical equipment is replaced by virtual model for virtual-real fusion. The virtual environment is mainly used to simulate the impact on maintenance operation space. The difficulty of realizing the test concept deals with how to accurately identify the pose of the physical equipment and register the virtual environment around the physical equipment. In the proposed method, initially the ORB feature of the physical product is extracted through binocular vision. Secondly, the ICP method is used to match the physical product feature with the digital prototype feature, so as to identify the relative pose of the physical equipment. The virtual maintenance environment is then accurately superimposed. Thirdly, the experimental evaluation method of virtual reality fusion maintainability qualitative and quantitative indicators is formulated. Finally, taking an engine as an example, a virtual-real fusion maintainability test case study is carried out to verify the effectiveness and feasibility of maintainability evaluation based on virtual-real fusion test scenario. With 5 test groups, evaluation is carried out in three scenes-real environment, virtual-real fusion and without surrounding environment. Results of the evaluation revealed that error rate of the proposed virtual reality fusion maintainability method are somehow closer to maintainability in real environment. The average error rate of the three maintainability qualitative indexes in the virtual-real fusion scene is 9.90%, whereas the average error of the maintenance time is 3.25%. The proposed system offers an absorbing simulation environment where users are privileged to interact with the maintenance objects. The research work bears great significance in maintenance, product designing, visualization and related domains. As maintenance in real environment happens to be costlier and hazardous, the proposed method is suitable to ensure substantial cost reduction and safety in all stages of maintainability. Moreover, outcomes of the evaluation and the generated data of simulation can be generalized to improve maintainability of equipment.

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Wu, Xu Dong, Hu Liu, Song Mo, Zhe Wu, and Ying Li. "Research of Maintainability Evaluation for Civil Aircrafts Based on the Motion Capture System." Applied Mechanics and Materials 198-199 (September 2012): 1062–66. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1062.

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Maintainability is a main design attribute of a civil airplane. So evaluation to the maintainability is very important for the design of the civil aircraft. The Human motion capture is a promising technique for maintainability evaluation. In this article, a method about the maintainability evaluation based on the optical motion capture system was presented. Then a test case was developed to demonstrate the feasibility of the method. The test case mainly focused on the accessibility of the civil aircraft.

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Wu, Jia Ju, Bing Ning Cao, Zheng Jing Wan, and Ji Lan Zhang. "The Application of BP Neural Network to Comprehensive Assessment in Equipment Maintainance Support." Applied Mechanics and Materials 190-191 (July 2012): 191–94. http://dx.doi.org/10.4028/www.scientific.net/amm.190-191.191.

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Equipment maintainability support is the most important influencing factor which affects weapon battle ability. Equipment maintainability support capability assessment result can be used as steering for equipment maintenance blue print configuration. Based on analysis of equipment maintenance support, maintenance scenario establish process is discussed in paper. Then neural network-based equipment maintainability support assessment model is established. BP dynamic neural network is applied in constructing model and the amelioration weight reset arithmetic is imported in equipment maintainability support assessment model. Finally, the steps of equipment maintenance support assessment are described. According to assessment arithmetic, equipment maintenance center computes assessment result. Equipment development department and army can optimize maintainability support scheme based on assessment result and maintain equipment.

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RIAZ, MEHWISH, EWAN TEMPERO, MUHAMMAD SULAYMAN, and EMILIA MENDES. "MAINTAINABILITY PREDICTORS FOR RELATIONAL DATABASE-DRIVEN SOFTWARE APPLICATIONS: EXTENDED RESULTS FROM A SURVEY." International Journal of Software Engineering and Knowledge Engineering 23, no. 04 (May 2013): 507–22. http://dx.doi.org/10.1142/s0218194013500149.

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Software maintainability is a very important quality attribute. Its prediction for relational database-driven software applications can help organizations improve the maintainability of these applications. The research presented herein adopts a survey-based approach where a survey was conducted with 40 software professionals aimed at identifying and ranking the important maintainability predictors for relational database-driven software applications. The survey results were analyzed using frequency analysis. The results suggest that maintainability prediction for relational database-driven applications is not the same as that of traditional software applications in terms of the importance of the predictors used for this purpose. The results also provide a baseline for creating maintainability prediction models for relational database-driven software applications.

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Pal Dhaka, Dr Vijay, and Swati Agrawal. "Machine Learning Algorithm Evaluate the maintainability." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 10, no. 2 (August 10, 2013): 1376–83. http://dx.doi.org/10.24297/ijct.v10i2.7008.

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Maintainability is an important quality attribute and a difficult concept as it involves a number of measurements. Quality estimation means estimating maintainability of software. Maintainability is a set of attribute that bear on the effort needed to make specified modification. The main goal of this paper is to propose use of few machine learning algorithms with an objective to predict software maintainability and evaluate them. The propose models are Gaussian process regression networks (GPRN), probably approximately correct learning (PAC), Genetic algorithm (GA). This paper predicts the maintenance effort. The QUES (Quality evaluation system) dataset are used in this study. The QUES datasets contains 71 classes. To measure the maintainability, number of “CHANGE” is observed over a period of few years. We can define CHANGE as the number of lines of code which were added, deleted or modified during few year maintenance periods. After this study these machine learning algorithm was compared with few models such as GRNN (General regression neural network) model, RT (Regression tree), MARS (Multiple adaptive regression splines), SVM (Support vector machine), MLR (Multiple linear regression) models. Based on experiments, it was found that GPRN can be predicting the maintainability more accurately and precisely than prevailing models. We also include object oriented software metric to measure the software maintainability. The use of machine learning algorithms to establish the relationship between metrics and maintainability would be much better approach as these are based on quantity as well as quality.

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Xia, Cong, and Lin Ma. "Study on Method of Planning the Plane Maintainability Test Based on the Development Test." Advanced Materials Research 472-475 (February 2012): 2771–74. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.2771.

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This document puts forward a method of planning the plane maintainability test based on the development test. In the practical engineering application, it is difficult to carry out the maintainability test due to the plane's development cost and schedule problems. In this paper, assuming not arranging special maintainability test in development phase, research and analysis the plane development tests which can produce maintenance information. Giving the information form, then, collect the maintenance information produced in development phase, so as to realize the planning the plane maintainability test based on the development test.

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Conejos, Sheila, Michael Yit Lin Chew, and Fikril Hakim Bin Azril. "Green maintainability assessment of high-rise vertical greenery systems." Facilities 37, no. 13/14 (October 7, 2019): 1008–47. http://dx.doi.org/10.1108/f-09-2018-0107.

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Purpose Vertical greenery systems (VGS) have been a widely accepted design strategy that contributes to creating sustainable built environments. However, green building technologies (e.g. VGS) have grown in complexity which poses maintainability challenges. Designing with maintainability in mind is crucial in delivering efficient and sustainable buildings. This paper aims to assist designers and allied professionals in terms of integrating maintainability and sustainable design in developing high-rise VGS directly from its design inception. Design/methodology/approach The study is grounded on the “Green Maintainability” concept which link maintainability, sustainability and facility management right at the outset. The Green Maintainability factors are translated into critical design criteria which are used to analyze the selected instrumental case studies to evaluate the high-rise VGS performance and maintainability potential. A qualitative approach via the triangulation of data collected from relevant literatures, field surveys and walkthrough interviews is undertaken. Findings Findings have shown that the major VGS defects which are mostly occurring in the case studies are issues concerning fallen leaves and dirt accumulation; safety issues during cleaning and repairs; insufficient maintenance access; algae/ mould growth; withering plants; water stagnation/ ponding; poor/faulty irrigation and water dripping and unavailability of natural elements. Best practices and lessons learned revealed few design oversight and technical issues concerning high-rise VGS façade implementation. While maintenance cost, biodiversity and lack of coordination among involved professionals are the additional issues which emerged during the stakeholders’ walkthrough interviews. Originality/value Current researches conducted on the maintainability of green building technologies (e.g. high-rise VGS) are still few. This research study is the first comprehensive assessment to determine the green maintainability potential and performance of high-rise VGS in tropical conditions.

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Jain, Parita, Arun Sharma, and Laxmi Ahuja. "Software Maintainability Estimation in Agile Software Development." International Journal of Open Source Software and Processes 9, no. 4 (October 2018): 65–78. http://dx.doi.org/10.4018/ijossp.2018100104.

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Agile methodologies have gained wide acceptance for developing high-quality products with a quick and flexible approach. However, until now, the quality of the agile process has not been validated quantitatively. Quality being important for the software system, there is a need for measurement. Estimating different quality factors will lead to a quality product. Also, agile software development does not provide any precise models to evaluate maintainability. Therefore, there is a need for an algorithmic approach that can serve as the basis for estimation of maintainability. The article proposes an adaptive neuro-fuzzy inference system (ANFIS) model for estimating agile maintainability. Maintainability is one of the prominent quality factors in the case of agile development. The proposed model has been verified and found to be effective for assessing the maintainability of agile software.

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Chew, Michael Y. L., and Sheila Conejos. "Developing a green maintainability framework for green walls in Singapore." Structural Survey 34, no. 4/5 (August 8, 2016): 379–406. http://dx.doi.org/10.1108/ss-02-2016-0007.

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Purpose The use of green wall technology in green buildings is a growing trend; however, more research is required about their maintainability, taking into account that maintainability at the design stage is a valuable strategy in achieving building efficiency and sustainability. Thus, the purpose of this paper is to determine the issues in operating and maintaining green walls, particularly in tropical areas like Singapore, leading to the development of a green maintainability framework. Design/methodology/approach This research uses a qualitative method that combines a thorough and systematic literature review, multiple case studies, field observation surveys and selected instrumental case studies with building plan appraisal and interviews to investigate the potential issues associated with the maintainability of green walls in tropical areas like Singapore. Findings The findings show that technical and environmental issues/defects are prevalent in the operation and maintainability of green wall technologies applied in green buildings located in tropical regions. Proper considerations of these findings will encourage green building designers and facilities managers to collaborate in the effective implementation of operations and maintenance of green building technologies. Originality/value This research gives new and significant information while identifying a clear knowledge gap. The paper recommends the formulation of a green maintainability framework with a set of design criteria that will serve as a benchmark in the future design of green walls. The green maintainability framework would be a valuable addition to green facilities management in ensuring the long-term maintainability and sustainability of existing and new green walls in tropical areas specifically in Singapore.

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Tran, Hien Dang, Nguyen Dai Tran, and Tuan Ngoc Pham. "DESIGN FOR MAINTAINABILITY - DFM." Science and Technology Development Journal 12, no. 5 (March 15, 2009): 14–24. http://dx.doi.org/10.32508/stdj.v12i5.2240.

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Majoros, Anthony E. "Aircraft design for maintainability." Journal of Aircraft 28, no. 3 (March 1991): 187–92. http://dx.doi.org/10.2514/3.46011.

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Kim, Young-Gul. "Improving Legacy Systems Maintainability." Information Systems Management 14, no. 1 (January 1997): 7–11. http://dx.doi.org/10.1080/10580539708907023.

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Heydorn, Richard P. "Reliability and Maintainability Engineering." Technometrics 40, no. 3 (August 1998): 256–57. http://dx.doi.org/10.1080/00401706.1998.10485527.

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G.W.A.D. "Reliability and maintainability management." Microelectronics Reliability 26, no. 3 (January 1986): 571. http://dx.doi.org/10.1016/0026-2714(86)90508-1.

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Heričko, Tjaša, and Boštjan Šumak. "Exploring Maintainability Index Variants for Software Maintainability Measurement in Object-Oriented Systems." Applied Sciences 13, no. 5 (February 25, 2023): 2972. http://dx.doi.org/10.3390/app13052972.

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During maintenance, software systems undergo continuous correction and enhancement activities due to emerging faults, changing environments, and evolving requirements, making this phase expensive and time-consuming, often exceeding the initial development costs. To understand and manage software under development and maintenance better, several maintainability measures have been proposed. The Maintainability Index is commonly used as a quantitative measure of the relative ease of software maintenance. There are several Index variants that differ in the factors affecting maintainability (e.g., code complexity, software size, documentation) and their given importance. To explore the variants and understand how they compare when evaluating software maintainability, an experiment was conducted with 45 Java-based object-oriented software systems. The results showed that the choice of the variant could influence the perception of maintainability. Although different variants presented different values when subjected to the same software, their values were strongly positively correlated and generally indicated similarly how maintainability evolved between releases and over the long term. Though, when focusing on fine-grained results posed by the Index, the variant selection had a larger impact. Based on their characteristics, behavior, and interrelationships, the variants were divided into two distinct clusters, i.e., variants that do not consider code comments in their calculation and those that do.

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Yadav, Rohit, and Raghuraj Singh. "A Hyper-parameter Tuning based Novel Model for Prediction of Software Maintainability." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 2 (March 10, 2023): 106–13. http://dx.doi.org/10.17762/ijritcc.v11i2.6134.

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Software maintainability is regarded as one of the most important characteristics of any software system. In today's digital world, the expanding significance of software maintenance is motivating the development of efficient software maintainability prediction (SMP) models using statistical and machine learning methods. This study proposes a hyper-parameter optimizable Software Maintainability Prediction (HPOSMP) model using the hybridized approach of data balancing and hyper-parameter optimization of Machine Learning (ML) approach using software maintainability datasets. The training dataset has been created with object-oriented software namely UIMS and QUES. To balance the dataset, Synthetic Minority Oversampling Technique (SMOTE) technology has been adopted. Further, Decision Tree, Gaussian Naïve Bayes, K-Nearest neighbour, Logistic Regression, and Support Vector Machine are adopted as Machine Learning and Statistical Regression Techniques for training of software maintainability dataset. Results demonstrate that the proposed HPOSMP model gives better performance as compared to the base SMP models.

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Li, Jing Rong, Qing Hui Wang, and Hong Zhou Shen. "Fuzzy Evaluation of Maintainability with Tribological Factors at Design Stage." Applied Mechanics and Materials 29-32 (August 2010): 1027–33. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.1027.

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Excellent maintainability is extremely important not only supplementing reliability necessarily but reducing product life cycle cost and enhancing its quality greatly. Industrial experiences have shown that wear and friction related failures of tribological components, are one of the main reasons for maintenance. However, most of the research works evaluated tribo-maintainability at maintenance stages. This paper analyzed the tribo-maintainability related design factors from systematic perspective and concluded a more complete set of six factors. A fuzzy set based approach is then developed to quantitatively evaluate design for its tribo-maintainability. A case study with a common assembly of a gear reducer has demonstrated the effectiveness of the prototype developed.

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Wu, Xi, Da Xu, Bao Qi Wang, and Ge Mu. "Equipment MTTR Demonstration Method Based on Virtual Simulation." Applied Mechanics and Materials 401-403 (September 2013): 1855–58. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1855.

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Aiming at the disadvantage of existing equipment MTTR demonstration method, this paper studied the project of equipment maintainability demonstration Based on Virtual Simulation, and put forward a method of equipment MTTR demonstration in the virtual environment, at last power system of equipment is verified as an example. It is significant for developing maintainability demonstration and increasing Equipment maintainability in the course of equipment digital mock-up designing.

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Yaloza, Yu A., and A. N. Petrov. "PERSPECTIVES OF THE METHODS DEVELOPMENT FOR AIRCRAFT MAINTAINABILITY CERTIFICATION." Civil Aviation High TECHNOLOGIES 21, no. 4 (August 28, 2018): 110–22. http://dx.doi.org/10.26467/2079-0619-2018-21-4-110-122.

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The paper outlines the main problems and perspectives of methods development for regulation and finding compliance of aircraft during the type design maintainability certification. Mentioned requirements and methods relevance are related to the fact that aircraft continuing airworthiness at the operational stage is possible only with a reasonable combination of the maintenance documentation instructions for continuing airworthiness of a type design and the required level of its maintainability, which both meet the minimum requirements of airworthiness standards. Deficiencies in those requirements and means of compliance have notable influence on the safety and effectiveness of air transportation. Main ICAO standards and international practice of regulation and evaluation of aircraft maintainability and instructions for continuing airworthiness are briefly analyzed. On the base of aircraft maintenance requirements analysis recommendations proposed aimed to further develop regulations and means of compliance for a type design maintainability certification. For solving this problem there is a need to implement certain scientific and practical developments in the domain of integrated logistic support as a technology which integrates the reliability, maintainability and other technical operating capabilities activities for a newly-designed aircraft in order to create its effective maintenance system. The kinds of requirements within the aviation regulations and means of compliance for them are recommended, which have to be corrected and developed, as well as directions of works necessary for that, including implementation of computer modelling and prototypes testing for showing compliance of aircraft with the maintainability certification requirements. It is shown a need for implementation of the scientific and practical results of research in integrated logistic support domain which allow for interconnect of the reliability and maintainability activities within a new aircraft design in order to integrate systematically reliability requirements with the necessary maintenance action in support of reliability and with the required for those maintenance works level of type design maintainability.

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Hanandeh, Feras, Ahmad A. Saifan, Mohammed Akour, Noor Khamis Al-Hussein, and Khadijah Zayed Shatnawi. "Evaluating Maintainability of Open Source Software." International Journal of Open Source Software and Processes 8, no. 1 (January 2017): 1–20. http://dx.doi.org/10.4018/ijossp.2017010101.

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Maintainability is one of the most important quality attribute that affect the quality of software. There are four factors that affect the maintainability of software which are: analyzability, changeability, stability, and testability. Open source software (OSS) developed by collaborative work done by volunteers through around the world with different management styles. Open source code is updated and modified all the time from the first release. Therefore, there is a need to measure the quality and specifically the maintainability of such code. This paper discusses the maintainability for the three domains of the open source software. The domains are: education, business and game. Moreover, to observe the most effective metrics that directly affects the maintainability of software. Analysis of the results demonstrates that OSS in the education domain is the most maintainable code and cl_stat (number of executable statements) metric has the highest degree of influence on the calculation of maintenance in all three domains.

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Zhu, Lian Jun, and Hua Cong. "The Prediction of the Maintainability of Armored Vehicle Engine Based on Failure Model Effectiveness Analysis." Advanced Materials Research 988 (July 2014): 601–5. http://dx.doi.org/10.4028/www.scientific.net/amr.988.601.

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Maintainability is an important factor need to be considered in the strategy making process of armored vehicle engine. Combined with the factors analysis of the maintainability, fuzzy analytic hierarchy process (FAHP) is used to realize the reasonable evaluation of the engine maintainability based on failure model effectiveness analysis (FMEA) and the characteristic parameter test. The research provides a basis for the condition based maintenance of armored vehicle engine.

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Tu, Meixia, Lv Chuan, Meihui Wang, Dong Zhou, Yiliu Xu, Bile Wan, and Wenxing He. "MAINTAINABILITY ANALYSIS AND EVALUATION OF FLEXIBLE CABLES BASED ON DELMIA." Transactions of the Canadian Society for Mechanical Engineering 40, no. 5 (December 2016): 995–1005. http://dx.doi.org/10.1139/tcsme-2016-0082.

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This paper presents a virtual maintenance application for the maintainability analysis and evaluation of flexible cables to provide recommendations on the maintainability of products containing cables during the early stages of product design. This paper provides a methodology for complex products containing cables detecting the potential defects via virtual maintenance technology. An integrated platform for analyzing and evaluating cable maintenance in a virtual environment is designed. Then, based on the maintenance simulation platform DELMIA, a cable maintainability evaluation system is proposed. The system consists of an evaluation element, a evaluation criteria, and an evaluation method. A case study on aviation aircraft subsystem disassembly was used to validate the feasibility of virtual maintenance in improving cable maintainability designs.

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Gradišnik, Mitja, Tina Beranič, and Sašo Karakatič. "Impact of Historical Software Metric Changes in Predicting Future Maintainability Trends in Open-Source Software Development." Applied Sciences 10, no. 13 (July 3, 2020): 4624. http://dx.doi.org/10.3390/app10134624.

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Software maintenance is one of the key stages in the software lifecycle and it includes a variety of activities that consume the significant portion of the costs of a software project. Previous research suggest that future software maintainability can be predicted, based on various source code aspects, but most of the research focuses on the prediction based on the present state of the code and ignores its history. While taking the history into account in software maintainability prediction seems intuitive, the research empirically testing this has not been done, and is the main goal of this paper. This paper empirically evaluates the contribution of historical measurements of the Chidamber & Kemerer (C&K) software metrics to software maintainability prediction models. The main contribution of the paper is the building of the prediction models with classification and regression trees and random forest learners in iterations by adding historical measurement data extracted from previous releases gradually. The maintainability prediction models were built based on software metric measurements obtained from real-world open-source software projects. The analysis of the results show that an additional amount of historical metric measurements contributes to the maintainability prediction. Additionally, the study evaluates the contribution of individual C&K software metrics on the performance of maintainability prediction models.

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Karanikiotis, Thomas, Michail D. Papamichail, and Andreas L. Symeonidis. "Analyzing Static Analysis Metric Trends towards Early Identification of Non-Maintainable Software Components." Sustainability 13, no. 22 (November 20, 2021): 12848. http://dx.doi.org/10.3390/su132212848.

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Nowadays, agile software development is considered a mainstream approach for software with fast release cycles and frequent changes in requirements. Most of the time, high velocity in software development implies poor software quality, especially when it comes to maintainability. In this work, we argue that ensuring the maintainability of a software component is not the result of a one-time only (or few-times only) set of fixes that eliminate technical debt, but the result of a continuous process across the software’s life cycle. We propose a maintainability evaluation methodology, where data residing in code hosting platforms are being used in order to identify non-maintainable software classes. Upon detecting classes that have been dropped from their project, we examine the progressing behavior of their static analysis metrics and evaluate maintainability upon the four primary source code properties: complexity, cohesion, inheritance and coupling. The evaluation of our methodology upon various axes, both qualitative and quantitative, indicates that our approach can provide actionable and interpretable maintainability evaluation at class level and identify non-maintainable components around 50% ahead of the software life cycle. Based on these results, we argue that the progressing behavior of static analysis metrics at a class level can provide valuable information about the maintainability degree of the component in time.

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Saltz, Jeffrey S., Kevin Crowston, Robert Heckman, and Yatish Hegde. "MIDST: an enhanced development environment that improves the maintainability of a data science analysis." International Journal of Information Systems and Project Management 8, no. 3 (September 21, 2021): 5–22. http://dx.doi.org/10.12821/ijispm080301.

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With the increasing ability to generate actionable insight from data, the field of data science has seen significant growth. As more teams develop data science solutions, the analytical code they develop will need to be enhanced in the future, by an existing or a new team member. Thus, the importance of being able to easily maintain and enhance the code required for an analysis will increase. However, to date, there has been minimal research on the maintainability of an analysis done by a data science team. To help address this gap, data science maintainability was explored by (1) creating a data science maintainability model, (2) creating a new tool, called MIDST (Modular Interactive Data Science Tool), that aims to improve data science maintainability, and then (3) conducting a mixed method experiment to evaluate MIDST. The new tool aims to improve the ability of a team member to update and rerun an existing data science analysis by providing a visual data flow view of the analysis within an integrated code and computational environment. Via an analysis of the quantitative and qualitative survey results, the experiment found that MIDST does help improve the maintainability of an analysis. Thus, this research demonstrates the importance of enhanced tools tohelp improve the maintainability of data science projects.

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Zighed, Narimane, Nora Bounour, and Abdelhak-Djamel Seriai. "Comparative Analysis of Object-Oriented Software Maintainability Prediction Models." Foundations of Computing and Decision Sciences 43, no. 4 (December 1, 2018): 359–74. http://dx.doi.org/10.1515/fcds-2018-0018.

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Abstract Software maintainability is one of the most important aspects when evaluating the quality of a software product. It is defined as the ease with which the existing software can be modified. In the literature, several researchers have proposed a large number of models to measure and predict maintainability throughout different phases of the Software Development Life Cycle. However, only a few attempts have been made for conducting a comparative study of the existent proposed prediction models. In this paper, we present a detailed classification and conduct a comparative analysis of Object-Oriented software maintainability prediction models. Furthermore, we considered the aforementioned proposed models from three perspectives, which are architecture, design and code levels. To the best of our knowledge, such an analysis that comprises the three levels has not been conducted in previous research. Moreover, this study hints at certain fundamental basics concerning the way of how measure the maintainability knowing that at each level the maintainability will be measured differently. In addition, we will focus on the strengths and weaknesses of these models. Consequently, the comparative study yields that several statistical and machine learning techniques have been employed for software maintainability prediction at code level during the last decade, and each technique possesses its specific characteristic to develop an accurate prediction model. At the design level, the majority of the prediction models measured maintainability according to the characteristics of the quality models. Whereas at the architectural level, the techniques adopted are still limited and only a few of studies have been conducted in this regard.

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Zhang, Wei, Zhen Yu Ma, Qing Ling Lu, Xiao Zhen Wang, and Da Wei Liu. "A Method of Software Maintainability Evaluation Based on Static Analysis." Applied Mechanics and Materials 651-653 (September 2014): 1757–60. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1757.

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Static analysis tools can generate plenty of information about the software. This paper uses the information to build the evaluation metrics of software maintainability, and unified these metrics. Then, we put forward a calculating method of the weights of metrics and create a software maintainability evaluation model. The results of software evaluation show that this method can evaluate the software maintainability objectively and qualitatively, and provides guide for decision-making and execution of software maintenance.

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Et. al., Surender Singh,. "Fuzzy Based Stable Maintainability Metric for Software Projects." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (April 11, 2021): 500–509. http://dx.doi.org/10.17762/turcomat.v12i2.860.

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To make software better in view of its maintainability, its software development process must be controlled and continuously observed. Researchers and software managers have stressed on the early measurement of maintainability starting from design phase itself so that timely steps could be taken for producing maintainable software. This paper evaluates and compares several methodologies for improving the numerical stability of a fuzzy-logic-based maintainability metrics system. Fuzzy parameters are adjusted using heuristic methods. A number of alternates were considered, in which training data sets were generated using different methods and these sets were used to evaluate objective functions in GA and accordingly fuzzy parameters were tuned. After conditioning, real projects’ maintainability data is used to show that fuzzy model performance is increased, however marginally, after conditioning

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Zhao, Mao Tai, and Wen Qian Song. "The Study on Maintainability Design of the Air Bus A380." Applied Mechanics and Materials 602-605 (August 2014): 465–68. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.465.

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The maintainability of aircraft has a direct relationship with the reliability, availability, security and economy of the airplane and its components. From adopting the new composite material, innovative self-test system and the close cooperation with airlines, airports and airworthiness institutions, the airbus A380 will ensure its better maintainability. This paper intends to discuss the developing and designing direction of the civil aircrafts’ maintainability in expectation of marking some active contribution to the industry of large aircrafts in China.

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Luo, Xu, Zhexue Ge, ShiGang Zhang, and Yongmin Yang. "A method for the maintainability evaluation at design stage using maintainability design attributes." Reliability Engineering & System Safety 210 (June 2021): 107535. http://dx.doi.org/10.1016/j.ress.2021.107535.

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Liang, Ruoxi, and Qunfeng Ye. "An Immersive Virtual Maintenance Simulation Process for Civil Aircraft Based on Cavernous Automatic Virtual System." Journal of Physics: Conference Series 2220, no. 1 (March 1, 2022): 012011. http://dx.doi.org/10.1088/1742-6596/2220/1/012011.

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Abstract This paper discusses the immersive virtual maintenance simulation in the design and verification phases of civil aircraft. Firstly, the concepts of maintainability design and Virtual maintenance are introduced. Secondly, the workflow of immersive Virtual maintenance simulation based on cavernous automatic virtual environment (CAVE) system for civil aircraft is discussed in detail. Through the computer virtual model to simulate and estimate the product maintainability and maintenance support system and other aspects of the possible problems, improve prediction and decision-making level, make maintainability design technology out of the dependence on experience, develop to a new stage of all-round prediction. Finally, the development trend of civil aircraft maintainability design and immersive virtual maintenance simulation method is discussed, and some suggestions on the research and application of this field are put forward.

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Feng, Shi Lin. "Modern Aerotransport Line Maintance Reliability and Maintainability Index Analysis." Advanced Materials Research 199-200 (February 2011): 526–29. http://dx.doi.org/10.4028/www.scientific.net/amr.199-200.526.

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Statistic is used to calculate the reliability and maintainability of the modern aerotransport line maintance. The reliability index and the maintainability index’s chosen process and calculated process in the line maintance is given out in this paper. First the index’s choose process is given out; Second 40 modern aerotransports’ trouble shooting data from November 2007 to December 2008 is given out. According the data, the index’s calculate process is given out; Third the reliability and the maintainability require is given out according the calculate result.

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Journal articles on the topic 'Maintainability'

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