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Journal articles on the topic 'Software product quality'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Vaníček, J. "Software quality requirements." Agricultural Economics (Zemědělská ekonomika) 52, No. 4 (2012): 177–85. http://dx.doi.org/10.17221/5014-agricecon.

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At the present time, the international standards and technical reports for system and software product quality are dispersed in several series of normative documents (ISO/IEC&nbsp;9126, ISO/IEC 14598, ISO/IEC 12119 etc.). These documents are not purely consistent and do not contain a tools for exact requirements set-ups. As quality is defined as a degree to which the set of inherent characteristic fulfils requirements, the exact requirement formulation is the key point for the quality measurement evaluation. This paper presents the framework for quality requirements for software, which is

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2

Sudhaman, Parthasarathy. "Evaluating software quality using software metrics for a software product." International Journal of Information Systems and Change Management 5, no. 2 (2011): 180. http://dx.doi.org/10.1504/ijiscm.2011.041514.

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Yahaya, Jamaiah, Aziz Deraman, and Zuriani Hayati Abdullah. "Software Product Quality: Trends and Beyond." Journal of Advanced Research in Applied Sciences and Engineering Technology 64, no. 3 (2025): 8–20. https://doi.org/10.37934/araset.64.3.820.

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Software quality has become increasingly critical in today’s digital economy and society. The importance of software quality differs strategically depending on whether a company is a software producer or a user. Users rely on software as a tool to conduct business in their respective industries, while software developers are responsible for creating these software products. Various factors determine software quality from both the user’s and developer’s perspectives. Software quality models are valuable because they highlight what individuals consider important when discussing quality. Differen

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Etxeberria, Leire, Goiuria Sagardui, and Lorea Belategi. "Quality aware software product line engineering." Journal of the Brazilian Computer Society 14, no. 1 (2008): 57–69. http://dx.doi.org/10.1590/s0104-65002008000100006.

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5

HAMILTON, I. "BRIEFING. QUALITY SOFTWARE - PROCESS OR PRODUCT?" Proceedings of the Institution of Civil Engineers - Civil Engineering 97, no. 4 (1993): 151–52. http://dx.doi.org/10.1680/icien.1993.25299.

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6

Dromey, R. G. "A model for software product quality." IEEE Transactions on Software Engineering 21, no. 2 (1995): 146–62. http://dx.doi.org/10.1109/32.345830.

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7

Etxeberria, Leire, Goiuria Sagardui, and Lorea Belategi. "Quality aware software product line engineering." Journal of the Brazilian Computer Society 14, no. 1 (2008): 57–69. http://dx.doi.org/10.1007/bf03192552.

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8

Hrytsiuk, Yu I. "SOFTWARE QUALITY MANAGEMENT SYSTEM." Ukrainian Journal of Information Technology 4, no. 1 (2022): 1–20. http://dx.doi.org/10.23939/ujit2022.01.001.

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The Software quality management system has been developed. The system allows you to determine the state of software quality at each hierarchical level of the management system, taking into account the cost of ensuring the required quality. The system also allows the IT company manager to set the potential costs for the transition of software quality indicators from one state to another. It was found out that software quality is a multifaceted concept that can be adequately expressed by some hierarchical structure of characteristics and attributes, which is called the model of software product

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Zhang, Guoheng, Huilin Ye, and Yuqing Lin. "Quality attribute modeling and quality aware product configuration in software product lines." Software Quality Journal 22, no. 3 (2013): 365–401. http://dx.doi.org/10.1007/s11219-013-9197-z.

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10

Mworia, Daniel, Lawrence Nderu, and Michael Kimwele. "Embedding Quality into Software Product Line Variability Artifacts." International Journal of Software Engineering & Applications (IJSEA) 12, no. 2/3 (2021): 11–25. https://doi.org/10.5281/zenodo.4983204.

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The success of any software product line development project is closely tied to its domain variability management. Whereas a lot of effort has been put into functional variability management by the SPL community, non-functional variability is considered implicit. The result has been dissatisfaction among clients due to resultant poor quality systems. This work presents an integrated requirement specification template for quality and functional requirements at software product line variation points. The implementation of this approach at the analytical description phase increases the visibility

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11

Moskalev, A. K., K. S. Lugovaya, and M. Y. Kharitonova. "Quality management in optimizing software product profile." IOP Conference Series: Materials Science and Engineering 666 (December 7, 2019): 012062. http://dx.doi.org/10.1088/1757-899x/666/1/012062.

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Vinogradov, Leonid V., Tatyana I. Leonova, Anastasia D. Silakova, and Vasiliy S. Burylov. "OPTIMIZING THE QUALITY OF THE SOFTWARE PRODUCT." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 6/1, no. 147 (2024): 6–13. http://dx.doi.org/10.36871/ek.up.p.r.2024.06.01.001.

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The purpose of this research is to study the problems of optimizing software quality, as well as the prospects for their solution. Research objectives: formation of optimal software quality based on Pareto optimal solutions. To conduct the study, the authors hypothesized that there are a number of problems that require the development of proposals for their solution. The difficulty of optimizing software quality lies in the fact that specialists need to solve the problem of multi-criteria analysis of a complex system. In the article, the authors propose an approach to solving such problems usi

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Singh, Brijendra, and Suresh Prasad Kannojia. "A Model for Software Product Quality Prediction." Journal of Software Engineering and Applications 05, no. 06 (2012): 395–401. http://dx.doi.org/10.4236/jsea.2012.56046.

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14

Tan, Lei, Yuqing Lin, and Huilin Ye. "Quality-Oriented Software Product Line Architecture Design." Journal of Software Engineering and Applications 05, no. 07 (2012): 472–76. http://dx.doi.org/10.4236/jsea.2012.57054.

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15

Khaled. "Integrating Components in Software Product Line to Build High Quality Products." Journal of Computer Science 7, no. 8 (2011): 1167–71. http://dx.doi.org/10.3844/jcssp.2011.1167.1171.

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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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SHYNKARUK, O., O. YASHYNA, and O. ONYSHKO. "SOFTWARE QUALITY MANAGEMENT DEVELOPMENT TOOLS." Herald of Khmelnytskyi National University. Technical sciences 291, no. 6 (2020): 39–44. https://doi.org/10.31891/2307-5732-2020-291-6-39-44.

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At the present stage of development of software tools in the field of web development, the number of web frameworks (VFK) has increased sharply. All of them have a number of advantages and disadvantages, and therefore it is important to choose the right and appropriate framework or set for each project, because the right choice depends on the quality, implementation time and reliability of each software product being developed. Generally speaking, web frameworks have definitely changed and improved their programming capabilities and become an integral part of the development process. There is

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18

Brackett, John W., and Arthur B. Pyster. "HIGH‐LEVEL SOFTWARE SYNTHESIS." INCOSE International Symposium 3, no. 1 (1993): 207–14. http://dx.doi.org/10.1002/j.2334-5837.1993.tb01580.x.

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AbstractHigh‐Level Software Synthesis (HLSS) is an advanced model‐based, product‐line‐oriented software development process being developed by the Software Productivity Consortium (Consortium). The HLSS process is based upon thorough requirements‐ and design‐level validation through the use of models that can predict important properties of the software to be built. The HLSS process is designed to enable an organization to produce members of an embedded system product line at reduced cost, with higher quality, and more rapidly than conventional software production methods.

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Heck, Petra, Martijn Klabbers, and Marko van Eekelen. "A software product certification model." Software Quality Journal 18, no. 1 (2009): 37–55. http://dx.doi.org/10.1007/s11219-009-9080-0.

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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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Zenkevich, Nikolay, and Margarita Gladkova. "Price Competition on the Market of Counterfeiting Software." International Game Theory Review 18, no. 02 (2016): 1640006. http://dx.doi.org/10.1142/s0219198916400065.

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In this paper, the market of software products is considered. Regularly this market is suffering from existence of counterfeit or pirate products which causes problems and challenges for original software developers. Taking this fact into account the paper is trying to solve the problem of price competition on this market. The software company set the price and the quality of the software product while the counterfeit or pirate company suggests the consumers the product of the lower quality. First the general model is analyzed and price equilibrium is defined. Second, the monopoly case is cons

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22

Riascos Castaneda, R., E. Ostrosi, T. Majić, J. Stjepandić, and J. C. Sagot. "A METHOD TO EXPLORE PRODUCT RISK IN PRODUCT LIFECYCLE MANAGEMENT OF CONFIGURED PRODUCTS." Proceedings of the Design Society: DESIGN Conference 1 (May 2020): 687–96. http://dx.doi.org/10.1017/dsd.2020.318.

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AbstractToday high quality and low product development turnaround time are company-wide priorities. Quality supporting processes such as an effective risk management system shall support continuous business running and meeting the goals of an organization. In this paper, an approach is presented on how to integrate the product risk management in Product Lifecycle Management for configured products by definition of an additional software module and its implementation.

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Kothuri, Parashu Ramulu, and B.V. Ramana Murhtyr Dr. "IMPORTANCE OF SOFTWARE QUALITY MODELS IN SOFTWARE ENGINEERING." International Journal of Engineering Technologies and Management Research 5, no. 3 (2018): 200–218. https://doi.org/10.5281/zenodo.1218182.

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<strong><em>The purpose of this paper is to identify the importance quality in software engineering when the projects or products are developed. The degree to which a component, system or process meets specified requirements and/or user/customer needs and expectations is the quality. The totality of functionality and features of a software product that bear on its ability to satisfy stated or implied needs is software quality. Some even say that ‘quality’ cannot be defined and some say that it can be defined but only in a particular context. Some even state confidently that ‘

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24

MARTYNIUK, OLEKSANDR, OKSANA YASHYNA, GALYNA RADELCHUK, and ROMAN KUSTOVSKYI. "COMPARISON OF SOFTWARE METRICS FOR QUALITY ESTIMATION OF THE SOFTWARE PRODUCTS." Herald of Khmelnytskyi National University 301, no. 5 (2021): 166–69. http://dx.doi.org/10.31891/2307-5732-2021-301-5-166-169.

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There is a well known principle, that you can manage only what you can measure – therefore adequate measurement and estimation of different elements in any engineering area is a very important development factor, and software engineering is not an exception. Software metrics represent numeric values of software characteristics and are used for analysis of different aspects of the product in order to predict possible problems. Software metrics can be applied to any stage of the software life cycle. For instance, on a stage of requirement analysis and the problem formulation, these metrics help

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25

Daram Sushma Reddy, Vadla Pranay Kumar, Thalaari Shyam, Vadagam Chandana, Trunugu Sai Priya, and Vankunavath Sandeep. "Critical evaluation of quality by design software." International Journal of Science and Research Archive 14, no. 2 (2025): 1548–59. https://doi.org/10.30574/ijsra.2025.14.2.0343.

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Quality by design (QbD) represents the modern approach to ensuring pharmaceutical quality. This concept has significantly influenced the progress of pharmaceutical sciences, having been established and applied globally in accordance with the International Conference on Harmonization (ICH) Guidelines. The proposed ICH guidelines—Q8 for pharmaceutical development, Q9 for quality risk management, and Q10 for pharmaceutical quality systems—provide a foundation for integrating quality into products. In the QbD framework, it is crucial to define the desired product performance profile, known as the

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26

Colakoglu, Fatima Nur, Ali Yazici, and Alok Mishra. "Software Product Quality Metrics: A Systematic Mapping Study." IEEE Access 9 (2021): 44647–70. http://dx.doi.org/10.1109/access.2021.3054730.

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27

Golubeva, O. A., and A. S. Pogorelova. "NEW SOFTWARE MODULE FOR STATISTICAL PRODUCT QUALITY CONTROL." Kontrol'. Diagnostika, no. 269 (November 2020): 48–52. http://dx.doi.org/10.14489/td.2020.11.pp.048-052.

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The article is devoted to the developed software module for statistical quality control of products that allows using the following quality tools: Pareto chart, Shewhart control maps (mean value map and span map), scatter chart, control maps of shares and the number of nonconforming units, control maps of the number of nonconformities and the number of nonconformities per unit, Ishikawa diagram. This article can be useful for specialists who are engaged in statistical quality control and are looking for an alternative to other software that can be implemented in the production process.

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28

Jamaiah H. Yahaya, and Aziz Deraman. "Measuring the Unmeasurable Characteristics of Software Product Quality." International Journal of Advancements in Computing Technology 2, no. 4 (2010): 95–106. http://dx.doi.org/10.4156/ijact.vol2.issue4.10.

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29

Daniel, Mworia, Nderu Lawrence, and Kimwele Michael. "Embedding Quality into Software Product Line Variability Artifacts." International Journal of Software Engineering & Applications 12, no. 3 (2021): 11–25. http://dx.doi.org/10.5121/ijsea.2021.12302.

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The success of any software product line development project is closely tied to its domain variability management. Whereas a lot of effort has been put into functional variability management by the SPL community, non-functional variability is considered implicit. The result has been dissatisfaction among clients due to resultant poor quality systems. This work presents an integrated requirement specification template for quality and functional requirements at software product line variation points. The implementation of this approach at the analytical description phase increases the visibility

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30

Golubeva, O. A., and A. S. Pogorelova. "NEW SOFTWARE MODULE FOR STATISTICAL PRODUCT QUALITY CONTROL." Kontrol'. Diagnostika, no. 269 (November 2020): 48–52. http://dx.doi.org/10.14489/td.2020.11.pp.048-052.

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The article is devoted to the developed software module for statistical quality control of products that allows using the following quality tools: Pareto chart, Shewhart control maps (mean value map and span map), scatter chart, control maps of shares and the number of nonconforming units, control maps of the number of nonconformities and the number of nonconformities per unit, Ishikawa diagram. This article can be useful for specialists who are engaged in statistical quality control and are looking for an alternative to other software that can be implemented in the production process.

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31

Thackeray, Ray, and George Van Treeck. "Applying Quality Function Deployment for Software Product Development." Journal of Engineering Design 1, no. 4 (1990): 389–410. http://dx.doi.org/10.1080/09544829008901666.

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32

Tausworthe, Robert C. "Software quality management through process and product modeling." Annals of Software Engineering 1, no. 1 (1995): 119–39. http://dx.doi.org/10.1007/bf02249048.

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33

Canchari, Luis, Paula Maria Angeleri, and Abraham Eliseo Dávila Ramón. "Requirements Validation and its Impact in Software Quality in Use: A Case Study." Proceedings of the Institute for System Programming of the RAS 35, no. 6 (2023): 7–28. http://dx.doi.org/10.15514/ispras-2023-35(6)-1.

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In this study, the relationship between the improvement of software requirement quality and the software product quality in use was explored and analyzed. Analysis was based on the design of software product quality-in-use and the measure of metrics from ISO/IEC 25010 standard in two software products. The results show that the validation activities introduced in the software requirements stage have a positive relationship with the quality in use of the software products analyzed. In the software studied, it can be said that the improvement of the quality of the requirements has contributed to

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Jogannagari, Malla Reddy* S.V.A.V. Prasad Sambasiva Rao Baragada. "REQUIREMENT ENGINEERING : AN APPROACH TO QUALITY SOFTWARE DEVELOPMENT." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 12 (2016): 177–84. https://doi.org/10.5281/zenodo.192559.

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Requirement Engineering is the crucial phase of software development life cycle. The activity of requirement engineering is contract between the client and developer. The gathering of complete and consistent requirements can motive the quality of software product and can satisfy the user’s needs. The requirement engineering is a complex exercise that consider the product requirement demands from the number of viewpoints , roles and responsibilities. The successful systematic implementation of requirement engineering process can have good impact on the quality of software product.. In this rese

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35

Ramulu, Kothuri, and B. V. Ramana Murhtyr. "IMPORTANCE OF SOFTWARE QUALITY MODELS IN SOFTWARE ENGINEERING." International Journal of Engineering Technologies and Management Research 5, no. 3 (2020): 200–218. http://dx.doi.org/10.29121/ijetmr.v5.i3.2018.192.

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The purpose of this paper is to identify the importance quality in software engineering when the projects or products are developed. The degree to which a component, system or process meets specified requirements and/or user/customer needs and expectations is the quality. The totality of functionality and features of a software product that bear on its ability to satisfy stated or implied needs is software quality. Some even say that ‘quality’ cannot be defined and some say that it can be defined but only in a particular context. Some even state confidently that ‘quality is lack of bugs’. In t

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36

YAMADA, SHIGERU, and AKIHIRO KAWAHARA. "STATISTICAL ANALYSIS OF PROCESS MONITORING DATA FOR SOFTWARE PROCESS IMPROVEMENT." International Journal of Reliability, Quality and Safety Engineering 16, no. 05 (2009): 435–51. http://dx.doi.org/10.1142/s0218539309003484.

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In recent years, software development has become more large-scaled, complicated, and diversified. At the same time, customer requirement of high quality and shortened delivery has increased. Therefore, we have to manage process quality and control product quality in the early-stage of software development in order to produce highly quality software products during the limited period. In this paper, we conduct multivariate linear analyses by using process monitoring data, derive effective process factors affecting the final product quality, and discuss the significant process factors with respe

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37

HAJDU-MACELARU, MARA, and IOANA ZELINA. "An adaptable software quality model." Creative Mathematics and Informatics 27, no. 1 (2018): 31–35. http://dx.doi.org/10.37193/cmi.2018.01.05.

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Just about everything changes, and so should a software quality model in order to provide a better understanding of quality for any software product to which is applied. But how can we develop such a software quality model? A software quality model pattern that can be adapted to different software products, and provide an accurate evaluation of the overall software quality. This paper presents an adaptable software quality model which is intended to be used for the quality evaluation of different software products.

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38

OliveiraJr, Edson, Itana M. S. Gimenes, José Carlos Maldonado, Paulo Masiero, and Leonor Barroca. "Systematic Evaluation of Software Product Line Architectures." JUCS - Journal of Universal Computer Science 19, no. (1) (2013): 25–52. https://doi.org/10.3217/jucs-019-01-0025.

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The architecture of a software product line is one of its most important artifacts as it represents an abstraction of the products that can be generated. It is crucial to evaluate the quality attributes of a product line architecture in order to: increase the productivity of the product line process and the quality of the products; provide a means to understand the potential behavior of the products and, consequently, decrease their time to market; and, improve the handling of the product line variability. The evaluation of product line architecture can serve as a basis to analyze the manageri

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Kasurinen, Jussi, Ossi Taipale, Jari Vanhanen, and Kari Smolander. "Exploring the Perceived End-Product Quality in Software-Developing Organizations." International Journal of Information System Modeling and Design 3, no. 2 (2012): 1–32. http://dx.doi.org/10.4018/jismd.2012040101.

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Software projects have four main objectives; produce required functionalities, with acceptable quality, in budget and in schedule. These objectives are all important for software projects to be successful, but how does the end-product quality fit to them? The objective of this study is to explore how organizations understand software quality and identify factors which seem to affect the quality outcome of the development process. The study applies three approaches; a quantitative survey with 31 organizations, qualitative analysis of in-depth interviews with 36 software professionals, and four

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Birulia, M. D. "Quality Management in Software Development." Advanced Engineering Research (Rostov-on-Don) 24, no. 3 (2024): 255–63. http://dx.doi.org/10.23947/2687-1653-2024-24-3-255-263.

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Introduction. The scientific literature examines various approaches to quality management in information technology (IT). The issues of identifying and correcting defects are worked out, and the possibilities for minimizing them are shown. There are materials on quality management in complex engineering processes. At the same time, there is no detailed description of quality management at each stage of the IT product life cycle, including testing. It should be noted that the coordination of software releases is closely related to quality management, but this process is rarely or fragmentarily

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Davila, A., K. Melendez, and L. Flores. "Establishing software product quality requirements according to international standards." IEEE Latin America Transactions 4, no. 2 (2006): 100–106. http://dx.doi.org/10.1109/tla.2006.1642457.

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42

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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43

Steen, Odd. "Practical knowledge and its importance for software product quality." Information and Software Technology 49, no. 6 (2007): 625–36. http://dx.doi.org/10.1016/j.infsof.2007.02.006.

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Aduni Sulaiman, Rabatul, Dayang Norhayati A. Jawawi, and Shahliza Abd Halim. "Coverage-based Approach for Model-based Testing in Software Product Line." International Journal of Engineering & Technology 7, no. 4.15 (2018): 63. http://dx.doi.org/10.14419/ijet.v7i4.15.21373.

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Rapid Quality assurance is an important element in software testing in order to produce high quality products in Software Product Line (SPL). One of the testing techniques that can enhance product quality is Model-Based Testing (MBT). Due to MBT effectiveness in terms of reuse and potential to be adapted, this technique has become an efficient approach that is capable to handle SPL requirements. In this paper, the authors present an approach to manage variability and requirements by using Feature Model (FM) and MBT. This paper focuses on modelling the integration towards enhancing product qual

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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 (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

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Chacon Luna, Ana, Jorge Luis Rodas Silva, and Mariuxi Vinueza Morales. "Estándares que contribuyen al desarrollo y entrega de productos de Software de Calidad / Standards that contribute to the development and delivery of high quality software products." Ciencia Unemi 8, no. 13 (2015): 90. http://dx.doi.org/10.29076/issn.2528-7737vol8iss13.2015pp90-99p.

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Las TIC aportan a los países para la realización de progresos importantes como el cumplimiento de los objetivos del Milenio. En este sentido el presente artículo tiene como objetivo resaltar la importancia de la calidad en el desarrollo de software. Al hablar de calidad del software involucra la necesidad de describir parámetros que permitan establecer niveles mínimos, que un producto debe cumplir, para que se considere de excelente calidad. La problemática que se presenta es que la mayoría de las características que debe cumplir, para ser considerado de excelente calidad, no son fácilmente cu

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Pal dhaka, Dr Vijay, and Swati Agrawal. "Maintainability analysis of Consumer Electronics using Software Quality Metrics." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 5, no. 1 (2013): 440–45. http://dx.doi.org/10.24297/ijmit.v5i1.4487.

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Software quality is a complex mix of factors that will very across different application and the customers who request them [1]. Determining the quality of products so ftware quality is important factor in consumer electronic software. Consumer electronics domain demands high performance, low cost and easy to use continuous need for new product innovation. So, maintainability is considered as a solution to satisfying such demand. Maintainability is an important quality goal for CE product software. In this paper, we have identified some quality characteristics of McCall as critical quality fac

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Chopra, Kunal, and Monika Sachdeva. "EVALUATION OF SOFTWARE METRICS FOR SOFTWARE PROJECTS." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 6 (2015): 5845–53. http://dx.doi.org/10.24297/ijct.v14i6.1915.

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Software metrics are developed and used by the many software organizations for the evaluation and confirmation of good code, working and maintenance of the software product. Software metrics measure and identify various types of software complexities such as size metrics, control flow metrics and data flow metrics. One of the significant objective of software metrics is that it is applicable to both a process and product metrics. Ndepend is the most advanced as well as flexible tool available in the market. We have ensured the Quality of the project by using Ndepend metrics. So we have conclud

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Et.al, Rosnani Shuib. "Towards Adopting Software Quality Assurance in Agile Development Methodology." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 2152–57. http://dx.doi.org/10.17762/turcomat.v12i3.1158.

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In agile software development methodology, software product is developed through a few iterations and delivered incrementally. In spite of the known benefits of the agile methodology, yet issue still exists in developing high-quality software product using this methodology. Hence, quality assurance mechanism should be in place in agile development to ensure quality adherence to the software product. However, taking up quality assurance in agile software development is not an easy task as it has its own manifesto and principles that need to be met. Thus, this paper highlights the issues and cha

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Sujitha, M. Jeevana, and Kodukula Subrahmanyam. "Quality Analysis of Software Applications using Software Reliability Growth Models and Deep Learning Models." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (2023): 454–62. http://dx.doi.org/10.17762/ijritcc.v11i8s.7226.

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Finding the faults in the software is a very tedious task. Many software companies are trying to develop high-quality software which is having no faults. It is very important to analyze the errors, faults, and bugs in software development. Software reliability growth models (SRGM's) are used to help the software industries to create quality software products. Quality is the software metric that is used to analyze the performance of the software product. The software product which is having no errors or faults is considered the best software product. SRGM is also utilized to analyze the softwar

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