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Articles de revues sur le sujet « Software quality assessment »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 26 juillet 2025

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1

Ratanothayanon, Sunida, Chouvanee Srivisal, Sirirut Vanichayobonand, and Ladda Preechaveerakul. "Comparative Classifiers for Software Quality Assessment." International Journal of Engineering and Technology 4, no. 4 (2012): 404–8. http://dx.doi.org/10.7763/ijet.2012.v4.395.

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Haber, А. А., V. S. Haber, and E. О. Mazur. "SOFTWARE QUALITY MANAGEMENT." Key title: Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì, no. 1(24) (2024): 13–17. http://dx.doi.org/10.32684/2412-5288-2024-1-24-13-17.

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The work examines the state of research and practice in the field of software quality management and gives an assessment of the extent to which existing approaches meet the requirements of new software-intensive systems. The main categories on which software quality management is based, approaches to software quality management are considered. It is shown that in all the studied models, none included the aspect of communication as one of the quality factors. In the field of software quality, a large number of metrics have been proposed for measurement. But these indicators face problems that a

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Vollman, T. E. "Software quality assessment and standards." Computer 26, no. 6 (1993): 118–20. http://dx.doi.org/10.1109/2.214463.

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Lindermeier, Robert. "Quality assessment of software prototypes." Reliability Engineering & System Safety 43, no. 1 (1994): 87–94. http://dx.doi.org/10.1016/0951-8320(94)90097-3.

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Koi-Akrofi, Godfred Yaw, Hannah Tanye, Samuel Chris Quist, et al. "Towards a Software Quality Factor Assessment Model for Learning Management Systems (LMS)." Indian Journal Of Science And Technology 17, no. 23 (2024): 2463–68. http://dx.doi.org/10.17485/ijst/v17i23.1006.

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Objectives: Software quality models are well-accepted ways to control and guide software quality to enhance user effectiveness and work productivity. However, an adequate understanding of software quality assessment factors that promote the effective operation of Learning Management Systems (LMS) among users in educational contexts needs to be adequate. This study aimed to identify from the literature quality factors, sub-quality factors of the quality factors and their meanings from mainly used software quality factor models, explain Ehlers's Model of subjective quality requirements of e-lear

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Mala, Ms R. Loke. "Predictive Software Model for Quality Assessment." International Journal for Research in Applied Science and Engineering Technology 8, no. 5 (2020): 1690——1696. http://dx.doi.org/10.22214/ijraset.2020.5274.

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Galli, Tamas, Francisco Chiclana, and Francois Siewe. "On the Use of Quality Models to Address Distinct Quality Views." Applied System Innovation 4, no. 3 (2021): 41. http://dx.doi.org/10.3390/asi4030041.

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Different software product quality models interpret different amounts of information, i.e., they can capture and address different manifestations of software quality. This characteristic can cause misleading statements and misunderstandings while explaining or comparing the results of software product quality assessments. A total of 23 previously identified distinct software product quality models are analysed on how they handle the abstract notion of quality, and a taxonomy on the quality manifestations that the individual software product quality models are able to capture is established. Qu

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Pasrija, Vatesh, Sanjay Kumar, and Praveen Ranjan Srivastava. "Assessment of Software Quality: Choquet Integral Approach." Procedia Technology 6 (2012): 153–62. http://dx.doi.org/10.1016/j.protcy.2012.10.019.

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Ali Khatami Firouzabadi, Seyyed Mohammad, and Seyyed Mohammad Tabatabaei Mehrizi. "ERP software quality assessment using fuzzy VIKOR." Uncertain Supply Chain Management 3, no. 2 (2015): 189–96. http://dx.doi.org/10.5267/j.uscm.2014.12.001.

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Werth, L. H. "Quality assessment on a software engineering project." IEEE Transactions on Education 36, no. 1 (1993): 181–83. http://dx.doi.org/10.1109/13.204842.

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Bernardo, Samuel, Pablo Orviz, Mario David, et al. "Software Quality Assurance as a Service: Encompassing the quality assessment of software and services." Future Generation Computer Systems 156 (July 2024): 254–68. http://dx.doi.org/10.1016/j.future.2024.03.024.

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Bederdinova, Oksana, Natal’ya Koryakovskaya, and Yuliya Boytsova. "STATIC MODEL OF THE SOFTWARE QUALITY ASSESSMENT SYSTEM." “Vestnik of Northern (Arctic) Federal University. Series "Natural Science", no. 3 (October 20, 2015): 87–96. http://dx.doi.org/10.17238/issn2227-6572.2015.3.87.

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Khoshgoftaar, Taghi M., Yudong Xiao, and Kehan Gao. "Software quality assessment using a multi-strategy classifier." Information Sciences 259 (February 2014): 555–70. http://dx.doi.org/10.1016/j.ins.2010.11.028.

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Oliveira, Katia M. G., Maria José C. Carmona, Antonio P. Mansur, et al. "CPR Quality Assessment in Schoolchildren Training." Journal of Cardiovascular Development and Disease 9, no. 11 (2022): 398. http://dx.doi.org/10.3390/jcdd9110398.

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Whilst CPR training is widely recommended, quality of performance is infrequently explored. We evaluated whether a checklist can be an adequate tool for chest compression quality assessment in schoolchildren, compared with a real-time software. This observational study (March 2019–2020) included 104 schoolchildren with no previous CPR training (11–17 years old, 66 girls, 84 primary schoolchildren, 20 high schoolchildren). Simultaneous evaluations of CPR quality were performed using an observational checklist and real-time software. High-quality CPR was determined as a combination of 70% correc

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BARMAK, ALEXANDER, VIKTOR KUDRIAVTSEV, YRII FORKUN, and OKSANA YASHYNA. "SOFTWARE CODE ANALYSIS SYSTEM FOR RISK ASSESSMENT AND QUALITY ASSURANCE OF SOFTWARE." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 297, no. 3 (2021): 25–29. http://dx.doi.org/10.31891/2307-5732-2021-297-3-25-29.

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The paper presents the results of research of various standards, rules and methods of writing software code and analysis of their impact on software quality and the likelihood of technical risks associated with information processes within the system. Most of the risks that arise while developing software products are due to errors in building the system architecture or writing code. As a solution for such problems, it is proposed to apply the developed set of rules and methods to build the system architecture and assess the quality of writing software objects. Metrics have been developed to e

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Canaparo, Marco, and Elisabetta Ronchieri. "Data Mining Techniques for Software Quality Prediction in Open Source Software." EPJ Web of Conferences 214 (2019): 05007. http://dx.doi.org/10.1051/epjconf/201921405007.

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Software quality monitoring and analysis are among the most productive topics in software engineering research. Their results may be effectively employed by engineers during software development life cycle. Open source software constitutes a valid test case for the assessment of software characteristics. The data mining approach has been proposed in literature to extract software characteristics from software engineering data. This paper aims at comparing diverse data mining techniques (e.g., derived from machine learning) for developing effective software quality prediction models. To achieve

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Fomina, N. B., T. A. Chernetskaya, and A. A. Pischikov. "1C:EDUCATION QUALITY ASSESSMENT. SCHOOL ANALYTICAL SYSTEM: NEW SOFTWARE FOR EDUCATION QUALITY MANAGEMENT." Informatics and education, no. 3 (May 10, 2019): 47–53. http://dx.doi.org/10.32517/0234-0453-2019-34-3-47-53.

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The article discusses conceptual approaches to develop a system for assessing the quality of education in accordance with the Federal State Education Standards. This task is relevant because of the requirements of regulatory documents defining the transition from education quality control methodology to education quality management methodology as a strategic direction in building an education quality assessment system from school to federal level. We consider faults of the traditional model of the school system for assessing the quality of education, the requirements for developing a modern sy

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Reichhart, Stefan, Tudor Gîrba, and Stéphane Ducasse. "Rule-based Assessment of Test Quality." Journal of Object Technology 6, no. 9 (2007): 231. http://dx.doi.org/10.5381/jot.2007.6.9.a12.

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Yurchishin, V. M. "METHODOLOGICAL APPROACHES TO SOFTWARE QUALITY ASSESSMENT FOR OIL AND GAS COMPLEX OBJECTS." METHODS AND DEVICES OF QUALITY CONTROL, no. 2(45) (December 28, 2020): 40–57. http://dx.doi.org/10.31471/1993-9981-2020-2(45)-40-57.

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This article establishes methodological approaches to software quality assessment in the process of information technology implementation in oil and gas companies. This study offers methodological basis of software quality assessment drawing on complexanalyses of methodological approaches to software quality assessment conducted by the author/ The article investigates and analyses the most commonly used approaches to software quality assessment for information systems. The study examines methodological approaches to software quality assessment for oil and gas complex objects.

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Parthasarathy, Sudhaman, C. Sridharan, Thangavel Chandrakumar, and S. Sridevi. "Quality Assessment of Standard and Customized COTS Products." International Journal of Information Technology Project Management 11, no. 3 (2020): 1–13. http://dx.doi.org/10.4018/ijitpm.2020070101.

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Software quality is a very important aspect in evolving strategy for IT vendors involved in commercial off-the-shelf (COTS) (also referred as packaged software) product development. Software metrics are widely accepted measures for monitoring and managing the quality in software projects. Enterprise resource planning (ERP) systems are COTS products and attempt to integrate data and processes in organizations and often require extensive customization. Using software quality metrics already established in literature, software quality attributes defined by the quality model ISO/IEC 9126 were eval

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Veevers, Alan. "Some issues in software reliability assessment." Software Testing, Verification and Reliability 1, no. 1 (1991): 17–22. http://dx.doi.org/10.1002/stvr.4370010104.

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Dale, Chris. "The assessment of software reliability." Reliability Engineering & System Safety 34, no. 1 (1991): 91–103. http://dx.doi.org/10.1016/0951-8320(91)90101-c.

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Galli, Tamas, Francisco Chiclana, and Francois Siewe. "Practical Consequences of Quality Views in Assessing Software Quality." Axioms 12, no. 6 (2023): 529. http://dx.doi.org/10.3390/axioms12060529.

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The authors’ previously published research delved into the theory of software product quality modelling, model views, concepts, and terminologies. They also analysed this specific field from the point of view of uncertainty, and possible descriptions based on fuzzy set theory and fuzzy logic. Laying a theoretical foundation was necessary; however, software professionals need a more tangible and practical approach for their everyday work. Consequently, the authors devote this paper to filling in this gap; it aims to illustrate how to interpret and utilise the previous findings, including the es

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Hovorushchenko, Tetiana Oleksandrivna. "Methodology of Evaluating the Sufficiency of Information for Software Quality Assessment According to ISO 25010." Journal of information and organizational sciences 42, no. 1 (2018): 63–85. http://dx.doi.org/10.31341/jios.42.1.4.

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The research is devoted to the development of the formalized and ontological models&nbsp;of the software quality according to ISO 25010. These models provide the possibility of the formalization of the software quality assessment according to ISO 25010. This standard would benefit from a formal description. The paper proves that information sufficiency is a critical aspect of software quality assessment. The methods and system of evaluating the sufficiency of the information for software quality assessment according to ISO 25010 are developed. The developed methods and tools provide the in

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Bederdinova, Oksana, Natal’ya Koryakovskaya, and Yuliya Boitsova. "INFORMATION MODEL OF THE SOFTWARE QUALITY ASSESSMENT AUTOMATED SYSTEM." Vestnik of Northern (Arctic) Federal Unisersity. Series "Natural Science", no. 1 (March 2015): 107–12. http://dx.doi.org/10.17238/issn2227-65672.2015.1.107.

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Khramov, V. Yu, and P. N. Besedin. "Use of Fuzzy Situations in Assessment of Software Quality." Telecommunications and Radio Engineering 64, no. 6 (2005): 455–64. http://dx.doi.org/10.1615/telecomradeng.v64.i6.40.

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Huitfeldt, Brownwyn, and Michael Middleton. "The Assessment of Software Quality from the User Perspective." Journal of Organizational and End User Computing 13, no. 1 (2001): 3–11. http://dx.doi.org/10.4018/joeuc.2001010101.

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Yongxia Li, and Changchun Deng. "An Approach to Software Quality Assessment with Uncertain Information." International Journal of Digital Content Technology and its Applications 7, no. 2 (2013): 591–97. http://dx.doi.org/10.4156/jdcta.vol7.issue2.72.

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Siavvas, Miltiadis G., Kyriakos C. Chatzidimitriou, and Andreas L. Symeonidis. "QATCH - An adaptive framework for software product quality assessment." Expert Systems with Applications 86 (November 2017): 350–66. http://dx.doi.org/10.1016/j.eswa.2017.05.060.

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Sofronas, Dimitrios, Dimitrios Margounakis, Maria Rigou, Efthimios Tambouris, and Theodore Pachidis. "SQMetrics: An Educational Software Quality Assessment Tool for Java." Knowledge 3, no. 4 (2023): 557–99. http://dx.doi.org/10.3390/knowledge3040036.

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Over the years, various software quality measurement models have been proposed and used in academia and the software industry to assess the quality of produced code and to obtain guidelines for its improvement. In this article, we describe the design and functionality of SQMetrics, a tool for calculating object-oriented quality metrics for projects written in Java. SQMetrics provides the convenience of measuring small code, mainly covering academic or research needs. In this context, the application can be used by students of software engineering courses to make measurements and comparisons in

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Prasad, V. S., and K. Sasikala. "Software Defect Prediction and Software Quality Assessment Using Dlr-Lvq and Fuzzy Rules." Electrical and Automation Engineering 1, no. 1 (2022): 21–27. http://dx.doi.org/10.46632/eae/1/1/4.

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Recently, Software development has been considerably grown. Fault in the software causes fault and interrupts the output. Characteristics like these make it much challenging to avert software flaws. Spontaneously forecasting the amount of flaws within the software modules is essential and also can assist developers to proficiently allot restricted resources. Recently, numerous Software Defect Prediction (SDP) techniques are developed. But, the accuracy and time consuming challenges still remain to be solved. Also, a few top-notch techniques don't properly classify the software whereas it is a

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Finandhita, A. "Development of Software Quality Assessment Model for Mobile-based Elderly Fall Detection Software." IOP Conference Series: Materials Science and Engineering 879 (August 7, 2020): 012088. http://dx.doi.org/10.1088/1757-899x/879/1/012088.

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Qasem Ali, Abdulrazzaq, Abu Md Sultan, Abdul Abd Ghani, and Hazura Zulzalil. "An Empirical Investigation of Software Customization and Its Impact on the Quality of Software as a Service: Perspectives from Software Professionals." Applied Sciences 11, no. 4 (2021): 1677. http://dx.doi.org/10.3390/app11041677.

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Although customization plays a significant role in the provision of software as a service (SaaS), delivering a customizable SaaS application that reflects the tenant’s specific requirements with acceptable level of quality is a challenge. Drawing on a pr-developed software customization model for SaaS quality, two fundamental objectives of this study were to determine whether different software customization approaches have direct impacts on SaaS quality, and also to assess the construct reliability and construct validity of the model. A questionnaire-based survey was used to collect data from

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Carvalho, Nuno, Alberto Simões, and José Almeida. "DMOSS: Open source software documentation assessment." Computer Science and Information Systems 11, no. 4 (2014): 1197–207. http://dx.doi.org/10.2298/csis131005027c.

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Besides source code, the fundamental source of information about open source software lies in documentation, and other non source code files, like README, INSTALL, or How-To files, commonly available in the software ecosystem. These documents, written in natural language, provide valuable information during the software development stage, but also in future maintenance and evolution tasks. DMOSS3 is a toolkit designed to systematically assess the quality of non source code content found in software packages. The toolkit handles a package as an attribute tree, and performs several tree traverse

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Goloskokov, K., V. Korotkov, V. Gaskarov, and T. Knysh. "Methods of formalized quality assessment of intelligent transport systems." Journal of Physics: Conference Series 2061, no. 1 (2021): 012125. http://dx.doi.org/10.1088/1742-6596/2061/1/012125.

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Abstract The purpose of the paper is to identify the main problems of creating software systems with a given level of reliability for intelligent transport systems. Considering the importance of this approach and the gained experience, the paper discusses design solutions to ensure software reliability in the development process. The paper is based on domestic and foreign experience of software design for intelligent information systems, which include transport systems. The issues of achieving a given level of software reliability during the control process are considered taking into account t

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Merzlyakova, E. Y., and E. V. Yanchenko. "Review of Software Quality Verification and Evaluation Methods." Herald of the Siberian State University of Telecommunications and Informatics 17, no. 1 (2023): 92–106. http://dx.doi.org/10.55648/1998-6920-2023-17-1-92-106.

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The basic concepts in the field of software quality testing and evaluation are defined. In particular, the concepts of verification, validation and software lifecycle and their role in the testing process are considered. The concept of an artifact in the software lifecycle is considered. The Russian and international standards in the field of software quality assessment are taken into account. The existing methods of software verification are regarded: expertise, static analysis, formal methods, dynamic and synthetic methods.An overview of software quality assessment methods used in software d

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Bono-Nuez, Antonio, Rubén Blasco, Roberto Casas, and Bonifacio Martín-del-Brío. "Ambient intelligence for quality of life assessment." Journal of Ambient Intelligence and Smart Environments 6, no. 1 (2014): 57–70. http://dx.doi.org/10.3233/ais-130241.

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Chatzigeorgiou, A. "Mathematical assessment of object-oriented design quality." IEEE Transactions on Software Engineering 29, no. 11 (2003): 1050–53. http://dx.doi.org/10.1109/tse.2003.1245306.

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Vaishnavi, Mantri, and Shinde Sanjay. "Power Quality Assessment of Tribrid System." Journal of Recent Trends in Electrical Power System 4, no. 3 (2021): 1–9. https://doi.org/10.5281/zenodo.5597221.

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<em>A reduction in the efficiency of any electrical system or equipment is because of power quality issues. In power quality issues the main term is harmonics which creates major problems in any equipment or system. So it is important to check and take an assessment of the system or equipment from time to time. This paper aims to determine the harmonics present in the Solar PV-Wind-Diesel Tribrid system. This system is located at the Government College of Engineering, Aurangabad. Modeling and simulation of this Tribrid system is done through MATLAB/Simulink software. Total harmonic distortion

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Noviani, Noviani, Muhammad Izman Herdiansyah, and Diana Diana. "Analisis Kualitas Perangkat Lunak Penilaian Kurikulum 2013 Menggunakan Standar ISO/IEC 9126-1:2001." Jurnal Pengembangan Sistem Informasi dan Informatika 1, no. 1 (2020): 34–49. http://dx.doi.org/10.47747/jpsii.v1i1.62.

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The 2013 curriculum assessment software is a software that helps facilitate the processing of student grades. This is a routine activity that must be done by teachers to calculate student grades in school. So far there has not been any measurement and analysis of the quality of this assessment software. This study aims to measure and analyze the quality of the 2013 curriculum assessment software based on ISO 9126. The sub-criteria for assessment in the quality attribute are adjusted to 3 external quality criteria of ISO 9126, including functionality, usability and reliability. The sub-criteria

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Ogureshnov, R. O. "RELIABILITY AND QUALITY ASSESSMENT OF SOFTWARE USING VIRTUAL REALITY TECHNOLOGY." Quality. Innovation. Education, no. 4 (2022): 12–16. http://dx.doi.org/10.31145/1999-513x-2022-4-12-16.

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This article deals with the problem of assessing the reliability and quality of software using virtual reality technology. Software reliability is the concept of the operable and non-operable state of an object or system. There are reliability metrics by which software can be evaluated. Software quality is a set of characteristics of software related to its ability to satisfy stated and implied needs. When using virtual reality, one more parameter must be added to the quality assessments: «Portability». This parameter will allow you to more accurately evaluate the program.

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Hamid, Khemissa, and Oussalah Mourad. "Quality Assessment Model of the Adaptive Guidance." International Journal of Software Engineering & Applications (IJSEA) 11, no. 1 (2020): 21–35. https://doi.org/10.5281/zenodo.3719206.

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The need for adaptive guidance systems is now recognized for all software development processes. The new needs generated by the mobility context for software development led these guidance systems to both quality and ability adaptation to the possible variations of the development context. This paper deals with the adaptive guidance quality to satisfy the developer’s guidance needs. We propose a quality model to the adaptive guidance. This model offers a more detailed description of the quality factors of guidance service adaptation. This description aims to assess the quality level of e

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Oleh, Velychko, Hrabovskyi Oleh, and Gordiyenko Tetyana. "QUALITY ASSESSMENT OF MEASUREMENT INSTRUMENT SOFTWARE WITH ANALYTIC HIERARCHY PROCESS." Eastern-European Journal of Enterprise Technologies 4, no. 9 (100) (2019): 35–42. https://doi.org/10.15587/1729-4061.2019.175811.

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A comparative analysis of the results of conformity assessment of software for measuring instruments (MI) was carried out. For comparative evaluation, eight MI software with built-in and universal computers were selected. Selected MI software was preliminarily evaluated by methods and algorithms that are based on the requirements of national standards and documents of international and regional legal metrology organizations OIML and WELMEC. Based on the results of the analysis of the requirements of the WELMEC guidelines for testing MI software, generalized and particular indicators were selec

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Surendro, Kridanto, and Olivia Olivia. "Academic Cloud ERP Quality Assessment Model." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (2016): 1038. http://dx.doi.org/10.11591/ijece.v6i3.9836.

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In the past few decades, educational institutions have been using conventional academic ERP system to integrate and optimize their business process. In this delivery model, each educational institutions are responsible of their own data, installation, and also maintenance. For some institutions, it might cause not only waste of resources, but also problems in management and financial aspects. Cloud-based Academic ERP, a SaaS-based ERP system, begin to come as a solution with is virtualization technology. It allows institutions to use only the needed ERP resources, without any specific installa

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Surendro, Kridanto, and Olivia Olivia. "Academic Cloud ERP Quality Assessment Model." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 3 (2016): 1038. http://dx.doi.org/10.11591/ijece.v6i3.pp1038-1047.

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In the past few decades, educational institutions have been using conventional academic ERP system to integrate and optimize their business process. In this delivery model, each educational institutions are responsible of their own data, installation, and also maintenance. For some institutions, it might cause not only waste of resources, but also problems in management and financial aspects. Cloud-based Academic ERP, a SaaS-based ERP system, begin to come as a solution with is virtualization technology. It allows institutions to use only the needed ERP resources, without any specific installa

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FOLMER, EELKE, and JAN BOSCH. "A PATTERN FRAMEWORK FOR SOFTWARE QUALITY ASSESSMENT AND TRADEOFF ANALYSIS." International Journal of Software Engineering and Knowledge Engineering 17, no. 04 (2007): 515–38. http://dx.doi.org/10.1142/s021819400700332x.

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The earliest design decisions often have a significant impact on software quality and are the most costly to revoke. One of the challenges in architecture design is to reduce the frequency of retrofit problems in software designs; not being able to improve the quality of a system cost effectively, a problem which frequently occurs during late stages. Software architecture assessment is essential in the design of a high quality system. However, assessing the effect of individual design decisions with respect to quality is often complicated by the fact that it is hard to identify exactly how par

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Fairley, Jennifer A., Zandra C. Deans, Rebecca J. L. Treacy, et al. "An Independent Assessment of a Commercial Clinical Interpretation Software Indicates That Software Can Mitigate Variation in Human Assessment." Journal of Molecular Pathology 3, no. 3 (2022): 125–39. http://dx.doi.org/10.3390/jmp3030012.

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Comprehensive next-generation sequencing (NGS) panels for cancer diagnostics create a bottleneck for interpretation. QIAGEN Clinical Insights Interpret One (QCI) is a clinical decision support software that supports molecular pathologists in the classification of oncology-related variants. This study compares variant assessments by QCI to assessments utilizing current laboratory methods. Eight laboratories were recruited by the external quality assessment organization GenQA. The laboratories submitted VCFs from sequencing studies performed on both hematological disorders and solid tumors for a

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Craigmyle, Mac, and Irwin Fletcher. "Improving IT effectiveness through software process assessment." Software Quality Journal 2, no. 4 (1993): 257–64. http://dx.doi.org/10.1007/bf00403768.

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Chen, Xingyuan, and Yong Deng. "An Evidential Software Risk Evaluation Model." Mathematics 10, no. 13 (2022): 2325. http://dx.doi.org/10.3390/math10132325.

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Software risk management is an important factor in ensuring software quality. Therefore, software risk assessment has become a significant and challenging research area. The aim of this study is to establish a data-driven software risk assessment model named DDERM. In the proposed model, experts’ risk assessments of probability and severity can be transformed into basic probability assignments (BPAs). Deng entropy was used to measure the uncertainty of the evaluation and to calculate the criteria weights given by experts. In addition, the adjusted BPAs were fused using the rules of Dempster–Sh

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Thanwadee T. Sunetnanta, and Morakot Choetkiertikul. "Quantitative CMMI Assessment for Software Process Quality and Risk Monitoring in Software Process Improvement." International Journal of Digital Content Technology and its Applications 6, no. 21 (2012): 95–102. http://dx.doi.org/10.4156/jdcta.vol6.issue21.11.

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