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Articles de revues sur le sujet « Software methodologies and engineering »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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1

Masood, Zafar, Xuequn Shang, and Jamal Yousaf. "Usability Evaluation Framework for Software Engineering Methodologies." Lecture Notes on Software Engineering 2, no. 3 (2014): 225–32. http://dx.doi.org/10.7763/lnse.2014.v2.127.

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Srinivasan, K. P., and T. Devi. "Software Metrics Validation Methodologies in Software Engineering." International Journal of Software Engineering & Applications 5, no. 6 (2014): 87–102. http://dx.doi.org/10.5121/ijsea.2014.5606.

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Shtern, Mark, and Vassilios Tzerpos. "Clustering Methodologies for Software Engineering." Advances in Software Engineering 2012 (May 10, 2012): 1–18. http://dx.doi.org/10.1155/2012/792024.

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The size and complexity of industrial strength software systems are constantly increasing. This means that the task of managing a large software project is becoming even more challenging, especially in light of high turnover of experienced personnel. Software clustering approaches can help with the task of understanding large, complex software systems by automatically decomposing them into smaller, easier-to-manage subsystems. The main objective of this paper is to identify important research directions in the area of software clustering that require further attention in order to develop more

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Gómez-Sanz, Jorge J., and Rubén Fuentes-Fernández. "Understanding Agent-Oriented Software Engineering methodologies." Knowledge Engineering Review 30, no. 4 (2015): 375–93. http://dx.doi.org/10.1017/s0269888915000053.

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AbstractFor many years, the progress in agent-oriented development has focused on tools and methods for particular development phases. This has not been enough for the industry to accept agent technology as we expected. Our hypothesis is that the Agent-Oriented Software Engineering (AOSE) community has not recognized the kind of development methods that industry actually demands. We propose to analyze this hypothesis starting with a more precise definition of what an AOSE methodology should be. This definition is the first step for a review of the current progress of an illustrative selection

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Wassyng, Alan, and Mark Lawford. "Integrated software methodologies – An engineering approach." Transactions of the Royal Society of South Africa 65, no. 2 (2010): 125–36. http://dx.doi.org/10.1080/0035919x.2010.522449.

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Kamepally, Arun Kumar, and Tejaswini Nalamothu. "Agile Methodologies in Software Engineering and Web Engineering." International Journal of Education and Management Engineering 6, no. 5 (2016): 1–14. http://dx.doi.org/10.5815/ijeme.2016.05.01.

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Cross, M., A. O. Moscardini, and B. A. Lewis. "Software engineering methodologies for scientific and engineering computation." Applied Mathematical Modelling 10, no. 5 (1986): 376–85. http://dx.doi.org/10.1016/0307-904x(86)90097-1.

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BERNON, CAROLE, MASSIMO COSSENTINO, and JUAN PAVÓN. "Agent-oriented software engineering." Knowledge Engineering Review 20, no. 2 (2005): 99–116. http://dx.doi.org/10.1017/s0269888905000421.

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Considering the great number of agent-oriented methodologies that can be found in the literature, and the fact that each one defines its own concepts and system structure, one of the main challenges in agent-oriented software engineering (AOSE) research is how to make these methodologies interoperable. By defining concepts used in a specific domain in a non-ambiguous way, meta-modelling may represent a step towards such interoperability. Consequently the main objective of the AOSE TFG (Technical Forum Group) is to establish a strategy for identifying a common meta-model that could be widely ad

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Molesini, Ambra, Andrea Omicini, and Mirko Viroli. "Environment in agent-oriented software engineering methodologies." Multiagent and Grid Systems 5, no. 1 (2009): 37–57. http://dx.doi.org/10.3233/mgs-2009-0118.

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Fox, John. "Methodologies for knowledge engineering." Knowledge Engineering Review 7, no. 2 (1992): 95–96. http://dx.doi.org/10.1017/s0269888900006214.

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Fonseca, Victor M. Flores, and Jesica Gomez. "Applying Active Methodologies for Teaching Software Engineering in Computer Engineering." IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 12, no. 3 (2017): 147–55. http://dx.doi.org/10.1109/rita.2017.2738178.

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Flores Fonseca, Victor M., and Jesica Gomez. "Applying Active Methodologies for Teaching Software Engineering in Computer Engineering." IEEE Revista Iberoamericana de Tecnologias del Aprendizaje 12, no. 4 (2017): 182–90. http://dx.doi.org/10.1109/rita.2017.2778358.

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PALMER, KENT D. "SOFTWARE ENGINEERING DESIGN METHODOLOGIES AND GENERAL SYSTEMS THEORY." International Journal of General Systems 24, no. 1-2 (1996): 43–94. http://dx.doi.org/10.1080/03081079608945107.

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Nour, Tarek, and Noura Albaladi. "Software Requirement Engineering: Traceability Techniques and Tools." International Journal of Computers and Informatics 2, no. 4 (2023): 8–23. http://dx.doi.org/10.59992/ijci.2023.v2n4p1.

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Requirement Traceability is one of the activities in managing requirements. It is important for software projects and is affecting the quality of software products. Requirement Traceability is a method to analyze the effect of changes among various software development lifecycle parts. Agile methodologies have been presented as an alternative to traditional software engineering methodologies. The transformation between traditional and agile methodologies is a hard task so the need for traceability grows. This paper introduces traceability research at the requirement engineering on the traceabi

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Pargaonkar, Shravan. "A Comprehensive Review of Performance Testing Methodologies and Best Practices: Software Quality Engineering." International Journal of Science and Research (IJSR) 12, no. 8 (2023): 2008–14. http://dx.doi.org/10.21275/sr23822111402.

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Abdalla, Reem, and Alok Mishra. "Agent-Oriented Software Engineering Methodologies: Analysis and Future Directions." Complexity 2021 (December 29, 2021): 1–21. http://dx.doi.org/10.1155/2021/1629419.

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The Internet of Things (IoT) facilitates in building cyber-physical systems, which are significant for Industry 4.0. Agent-based computing represents effective modeling, programming, and simulation paradigm to develop IoT systems. Agent concepts, techniques, methods, and tools are being used in evolving IoT systems. Over the last years, in particular, there has been an increasing number of agent approaches proposed along with an ever-growing interest in their various implementations. Yet a comprehensive and full-fledged agent approach for developing related projects is still lacking despite th

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del Águila, Isabel M., José Palma, and Samuel Túnez. "Milestones in Software Engineering and Knowledge Engineering History: A Comparative Review." Scientific World Journal 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/692510.

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We present a review of the historical evolution of software engineering, intertwining it with the history of knowledge engineering because “those who cannot remember the past are condemned to repeat it.” This retrospective represents a further step forward to understanding the current state of both types of engineerings; history has also positive experiences; some of them we would like to remember and to repeat. Two types of engineerings had parallel and divergent evolutions but following a similar pattern. We also define a set of milestones that represent a convergence or divergence of the so

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Gu, Qing, and Patricia Lago. "Guiding the selection of service-oriented software engineering methodologies." Service Oriented Computing and Applications 5, no. 4 (2011): 203–23. http://dx.doi.org/10.1007/s11761-011-0080-0.

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Kamthan, Pankaj. "On the Nature of Collaborations in Agile Software Engineering Course Projects." International Journal of Quality Assurance in Engineering and Technology Education 5, no. 2 (2016): 42–59. http://dx.doi.org/10.4018/ijqaete.2016040104.

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If there is a constant in software development, then it is that its ecosystem is a variable. The agile methodologies are part of a relatively recent shift from predictive to adaptive approach towards software development. This change has had a notable impact on software engineering education (SEE). In this article, a glimpse into the state-of-the-art of incorporating agile methodologies in software engineering courses is presented. In doing so, the reasons for including a project component in software engineering courses, and for committing to agile methodologies in software engineering projec

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Gupta, Archit. "Software Engineering in Healthcare." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (2021): 326–28. http://dx.doi.org/10.22214/ijraset.2021.38845.

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Abstract: As technology is advancing and affecting every phase of human life, health care facilities are also getting improved with the introduction of new advanced, customized, and patient-centric approaches in software engineering. Engineers all around the world are working to create unique and efficient ways for the prevention and early detection of diseases along with improving the patients’ experience while using these technologies. With the gain in computing power and access to a wide range of software, software engineers are working on technologies such as Big Data, AI, Data Science, an

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Shulga, Tatiana Erikovna, and Dmitrii Eduardovich Khramov. "Life cycle ontology of software engineering." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2023, no. 2 (2023): 66–74. http://dx.doi.org/10.24143/2072-9502-2023-2-66-74.

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The article highlights the problem of presenting knowledge on the models of software life cycle, the importance of which can be explained by the rapid progress of software engineering methods, by the absence of a formally easily extensible knowledge model in this subject area, and by the fact that cycle time selection models and the proposed development methodology have a significant impact on the success of software projects. System analysis  of the main types of software development methodologies, life cycle models and their phases has been carried out. The results of studying the repr

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Javier, Sandro Bolanos Castro, Ruben Gonzalez Crespo, and Victor Hugo Medina. "Software Processes and Methodologies Modeling Language SPMML, A Holistic Solution for Software Engineering." IEEE Latin America Transactions 12, no. 4 (2014): 818–24. http://dx.doi.org/10.1109/tla.2014.6868888.

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Alsaqqa, Samar, Samer Sawalha, and Heba Abdel-Nabi. "Agile Software Development: Methodologies and Trends." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 11 (2020): 246. http://dx.doi.org/10.3991/ijim.v14i11.13269.

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<p>Software engineering is a discipline that undergone many improvements that aims to keep up with the new advancements in technologies and the modern business requirements through developing effective approaches to reach the final software product, agile software development is one of these successful approaches. Agile software development is a lightweight approach that was proposed to overcome the convolutional development methods’ limitations and to reduce the overhead and the cost while providing flexibility to adopt the changes in requirements at any stage, this is done by managing

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Ali, Josh Mahmood. "AI-driven software engineering." Advances in Engineering Innovation 3, no. 1 (2023): 17–21. http://dx.doi.org/10.54254/2977-3903/3/2023030.

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The intersection of artificial intelligence (AI) and software engineering marks a transformative phase in the technology industry. This paper delves into AI-driven software engineering, exploring its methodologies, implications, challenges, and benefits. Drawing from data sources such as GitHub and Bitbucket and insights from industry experts, the study offers a comprehensive view of the current landscape. While the results indicate a promising uptrend in the integration of AI techniques in software development, challenges like model interpretability, ethical concerns, and integration complexi

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Hammo, Asmaa, and Maher Alasaady. "Evaluate and comparission between Software Engineering Methodologies of Agent Systems." AL-Rafidain Journal of Computer Sciences and Mathematics 9, no. 2 (2012): 43–61. http://dx.doi.org/10.33899/csmj.2012.163718.

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Sharma, Saurav. "Impact of Agile Methodologies on Project Success in Software Engineering." International Journal of Engineering and Computer Science 14, no. 07 (2025): 27492–98. https://doi.org/10.18535/ijecs.v14i07.5179.

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The accelerating complexity of today’s digital products demands that software-engineering processes—not merely management models—evolve in lock-step with change. This study examines how traditional, Agile and hybrid software-development life-cycles affect technical success metrics. Focusing on engineering practices such as continuous integration, automated testing, incremental refactoring and time-boxed iterations, we apply a mixed-methods design that combines factor and correlation analysis, structural-equation modelling (SEM) and semi-structured interviews with practicing developers. The fin

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Sydorov, N. O., and N. M. Sydorova. "Software engineering and big data software." PROBLEMS IN PROGRAMMING, no. 3-4 (December 2022): 69–72. http://dx.doi.org/10.15407/pp2022.03-04.069.

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Software engineering is a mature industry of human activity focused on the creation, deployment, marketing and maintenance of software. The fundamental concepts of engineering are life cycle model; three main components of life cycle phases - products, processes and resources; engineering and methodologies for creating, deployment and maintaining software. Software is the foun- dation of technological advances that lead to new high performance products. As the functionality of products grows, so does the need to efficiently and correctly create and maintain the complex software that enables th

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Falah, Bouchaib, Sameer Abufardeh, and Olamide Tawose. "Evaluating Agile Methodologies for Software Requirements and Construction: A SWEBOK-Based Analysis." Transactions on Engineering and Computing Sciences 13, no. 02 (2025): 174–94. https://doi.org/10.14738/tecs.1302.18659.

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Agile methodologies have gained widespread adoption in software development due to their flexibility, iterative approach, and focus on collaboration. However, their effectiveness in addressing critical software engineering domains, particularly the Software Requirements and Software Construction Knowledge Areas (KAs), remains an open question. This study systematically evaluates five agile methodologies—Extreme Programming (XP), Scrum, Feature-Driven Development (FDD), Rapid Application Development (RAD), and Kanban—using a comparative framework built upon key attributes from the Software Engi

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Falah, Bouchaib. "Evaluating Agile Methodologies for Software Requirements and Construction: A SWEBOK-Based Analysis." Transactions on Machine Learning and Artificial Intelligence 13, no. 02 (2025): 174–94. https://doi.org/10.14738/tmlai.1302.18659.

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Agile methodologies have gained widespread adoption in software development due to their flexibility, iterative approach, and focus on collaboration. However, their effectiveness in addressing critical software engineering domains, particularly the Software Requirements and Software Construction Knowledge Areas (KAs), remains an open question. This study systematically evaluates five agile methodologies—Extreme Programming (XP), Scrum, Feature-Driven Development (FDD), Rapid Application Development (RAD), and Kanban—using a comparative framework built upon key attributes from the Software Engi

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Nwatuzie, Gift Aruchi. "Blockchain-Based Secure Software Engineering Practices." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 914–15. https://doi.org/10.22214/ijraset.2025.67428.

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This study examines the influence of blockchain technology on the improvement of software security, verification, and traceability. It presents a blockchain-oriented version control system that guarantees secure and immutable software development. Furthermore, the research analyzes vulnerabilities associated with smart contracts and introduces a framework for the engineering of secure smart contracts. The results demonstrate how blockchain has the potential to transform software engineering methodologies by offering transparency, security, and auditability. In addition, the study addresses rec

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Patel, Bhadra K., Doris Y. Tamanaha, and Laurel A. Rudzik. "REAL TIME SYSTEMS/SOFTWARE METHODOLOGIES FOR LARGE AEROSPACE SYSTEMS." INCOSE International Symposium 3, no. 1 (1993): 113–20. http://dx.doi.org/10.1002/j.2334-5837.1993.tb01567.x.

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AbstractThis paper presents an overview of the real time system/software methodology approach being deployed within Hughes Aircraft Company. The Hatley‐Pirbhai Process for System Development (PSD) was chosen as the training standard for all systems and software engineers in a common engineering method to increase productivity, quality of design, and communications between various engineering disciplines. The approach that Hughes has taken is to adopt a well defined and proven methodology available from industry and to customize it to include specific extensions applicable to the types of syste

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PERLA, SRIKANTH. "Mastering Software Quality Engineering: A Holistic Approach." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 6, no. 2 (2025): 338–44. https://doi.org/10.61841/turcomat.v6i2.15235.

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Software quality engineering (SQE) is essential for ensuring that software applications meet the required standards of functionality, performance, security, and reliability. As software development methodologies evolve, the need for a comprehensive, holistic approach to software quality has become more critical. This paper explores the concept of mastering software quality engineering through a unified, multi-disciplinary approach. It highlights the integration of various techniques, such as test automation, continuous integration (CI), continuous delivery (CD), and defect management, to creat

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NALINI, SRIKANTH PERLA. "Mastering Software Quality Engineering: A Holistic Approach." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 6, no. 2 (2015): 338–44. https://doi.org/10.61841/turcomat.v6i2.15238.

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Software quality engineering (SQE) is essential for ensuring that software applications meet the required standards of functionality, performance, security, and reliability. As software development methodologies evolve, the need for a comprehensive, holistic approach to software quality has become more critical. This paper explores the concept of mastering software quality engineering through a unified, multi-disciplinary approach. It highlights the integration of various techniques, such as test automation, continuous integration (CI), continuous delivery (CD), and defect management, to creat

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Ansari, Mohammed Afzal, and Kiran Bhimrao Ingle. "Software Testing." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 979–84. http://dx.doi.org/10.22214/ijraset.2022.43914.

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Abstract— With the developing complexity of today’s software program applications injunction with the increasing competitive pressure has driven the excellent assurance of developed software towards new heights. software program trying out is an inevitable part of the software program development Lifecycle and retaining in keeping with its criticality in the pre and submit development process makes it something that have to be catered with stronger and green methodologies and strategies. This paper objectives to speak about the prevailing in addition to advanced trying out techniques for the b

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Pargaonkar, Shravan. "Advancements in Security Testing: A Comprehensive Review of Methodologies and Emerging Trends in Software Quality Engineering." International Journal of Science and Research (IJSR) 12, no. 9 (2023): 61–66. http://dx.doi.org/10.21275/sr23829090815.

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Hefley, William E., Elizabeth A. Buie, Gene F. Lynch, et al. "Integrating Human Factors with Software Engineering Practices." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 4 (1994): 315–19. http://dx.doi.org/10.1177/154193129403800427.

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Engineering processes and methodologies used in building tomorrow's systems must place a greater emphasis on designing usable systems that meet the needs of the systems' users and their tasks. This paper identifies the need for defining human factors and human-computer interaction (HCI) engineering activities that contribute to the design, development, and evaluation of usable and useful interactive systems, and presents a rationale for integrating these activities with software engineering and incorporating them into the system life cycle.

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Paine, R. M. "Eclipse: a software engineering tool." ITNOW 27, no. 2 (1985): 8–15. https://doi.org/10.1093/combul/27.2.8.

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Abstract In the March 1985 issue of Computer Bulletin, Mr D. Simpson described the Alvey approach to an IPSE, where the ‘P’ stood for Project. Eclipse, the Electricity Council Integrated Programming Support Environment is a suite of programs developed to provide significant improvements in analyst/programmer productivity. In terms of the diagrammatic view of the Alvey IPSE in Mr Simpson’s article, it fits into the segment ‘Other IPSE tools’, but also provides an interface with design methodologies. It has been written entirely in Delta, a machine independent Cobol generator, to aid portability

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Rodriguez-Martinez, Laura, Hector Duran-Limon, Manuel Mora, and Francisco Rodriguez. "SOCA-DSEM: A well-structured SOCA development systems engineering methodology." Computer Science and Information Systems 16, no. 1 (2019): 19–44. http://dx.doi.org/10.2298/csis170703035r.

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Service-oriented Software Engineering (SOSE) is a software engineering paradigm focused on Service-oriented Computing Applications (SOCAs), for what SOCA development methodologies are required. Recent studies on SOCA development methodologies revealed theoretical and practical deficiencies. Thus, academicians and practitioners must adapt development methodologies from other paradigms or use the available partial SOCA development methodologies. Also, since the high acceptance of agile approaches, we claim new well-structured and balanced agility-rigor methodologies are required. Then, this pape

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Sena, Jefferson Wanderson Pereira de, and Sandro Ronaldo Bezerra Oliveira. "Challenges in Adopting Agile Methodologies in the Software Engineering Processes Management: a Literature Review." Revista de Gestão Social e Ambiental 18, no. 7 (2024): e08090. http://dx.doi.org/10.24857/rgsa.v18n7-153.

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Objective: To identify and select the main challenges in adopting agile methodologies in the software engineering processes management, that is, to analyze the most recurring challenges involving the application of agile methodologies in organizational environments. Theoretical Framework: Software Development is marked by a dynamic environment in constant change, where organizations must experiment with new values, manifested in flexibility, adaptation, intelligence, innovation and proactivity, using innovative tools, as conditions to become efficient and competitive. Method: The research was

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Researcher. "SOFTWARE ENGINEERING: FOUNDATIONS, PRACTICES, AND FUTURE DIRECTIONS." Journal of Software Engineering (JSE) 2, no. 2 (2024): 43–54. https://doi.org/10.5281/zenodo.14472069.

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Software engineering is a vital discipline that connects the principles of theoretical computer science with the practical demands of software development. Through the use of systematic methods, tools, and frameworks, software engineering ensures the creation of robust, scalable, and efficient software systems tailored to meet diverse user needs. This article provides a comprehensive exploration of the foundations of software engineering, highlighting key methodologies, industry-standard practices, and emerging trends that are shaping its evolution. In addition to discussing these advancements

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Ren, Wei, and Bo Qin. "The Path from Software Engineering to System Engineering: Gamification Based S2S-G Framework." American Journal of Information Science and Technology 9, no. 2 (2025): 87–93. https://doi.org/10.11648/j.ajist.20250902.13.

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System engineering is a multidisciplinary, structured approach designed to manage the lifecycle of complex systems, ensuring their effective design, integration, and retirement. Benefits of system engineering include reduced risks, better stakeholder participation, adaptable systems, and improved documentation. However, as systems become more complex, traditional methodologies are often insufficient, leading to the emergence of Model-Based System Engineering (MBSE). MBSE, using Systems Modeling Language (SysML), offering a feasible pathway for software engineers transitioning to systems engine

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Cuddapah Anitha. "Impact of Artificial Intelligence on Software Development Processes." Journal of Information Systems Engineering and Management 10, no. 25s (2025): 431–37. https://doi.org/10.52783/jisem.v10i25s.4039.

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The emergence of Artificial Intelligence (AI) has signified a fundamental transformation in software engineering methodologies. Conventional techniques, marked by significant manual involvement, are progressively being enhanced or supplanted by intelligent systems. Artificial intelligence technologies and frameworks streamline development, decrease expenses, and improve precision. Artificial Intelligence (AI) is revolutionizing software development by automating redundant jobs, improving decision-making, and optimizing procedures throughout all phases of development. This study examines the in

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Beynon-Davies, Paul. "… and knowledge engineering: unhappy bedfellows?" ITNOW 29, no. 4 (1987): 9–20. https://doi.org/10.1093/combul/29.4.9.

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Abstract This paper presents a summary description of a methodology for building expert systems as a basis for discussing the relationship between expert systems development and traditional software development. The author believes that important work needs to be done in identifying what software engineering methodologies have to offer knowledge engineering and vice versa.

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Liang, Jenny T., Carmen Badea, Christian Bird, et al. "Can GPT-4 Replicate Empirical Software Engineering Research?" Proceedings of the ACM on Software Engineering 1, FSE (2024): 1330–53. http://dx.doi.org/10.1145/3660767.

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Empirical software engineering research on production systems has brought forth a better understanding of the software engineering process for practitioners and researchers alike. However, only a small subset of production systems is studied, limiting the impact of this research. While software engineering practitioners could benefit from replicating research on their own data, this poses its own set of challenges, since performing replications requires a deep understanding of research methodologies and subtle nuances in software engineering data. Given that large language models (LLMs), such

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Iqtiar, Md Siddique. "Theoretical Framework for Requirements Engineering: DevOps." European Journal of Advances in Engineering and Technology 11, no. 5 (2024): 25–32. https://doi.org/10.5281/zenodo.11312664.

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This paper presents a comprehensive theoretical framework for requirements engineering, elucidating the foundational principles, methodologies, and practices essential for the effective elicitation, analysis, specification, validation, and management of requirements in software development projects. Drawing from established literature and industry best practices, the framework provides a structured approach to requirements engineering, emphasizing the importance of stakeholder collaboration, communication, and alignment throughout the software development lifecycle. Key concepts such as requir

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Chandra, Shekhar Pareek. "Agile vs. Waterfall: A Comprehensive Analysis of Software Testing Methodologies." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 5, no. 5 (2019): 1–12. https://doi.org/10.5281/zenodo.14282022.

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Software testing is an indispensable pillar in the software development lifecycle, guaranteeing the functionality, robustness, and security of applications. The two most predominant frameworks for executing software testing are the Traditional (Waterfall) model and the Agile paradigm. This paper delves into the core distinctions between these methodologies, focusing on their testing philosophies, workflows, and operational practices. By scrutinizing their defining characteristics, benefits, and constraints, this comparative analysis offers an in-depth exploration of how each methodology tackle

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Fotariya, Mr Anuj, and Mr Omprakash Mandge. "Systematic Review of Agile Methodologies for Software Development." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 1771–74. http://dx.doi.org/10.22214/ijraset.2022.44143.

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Abstract: With the increase in complexity and innovation in IT products and services, developing them, that to by the shared efforts of team members brings in the need of some standardized development model or approach. Due to several advantages of agile methodologies over the traditional waterfall based models, it is the preferred choice. Many a times, a single agile method is also not enough to meet the current scenario of product development. We therefore propose a Competitor Driven Development (CDD) model, a hybrid agile process model for IT product development by abstracting practices fro

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Ramsin, R., and R. F. Paige. "Iterative criteria-based approach to engineering the requirements of software development methodologies." IET Software 4, no. 2 (2010): 91. http://dx.doi.org/10.1049/iet-sen.2009.0032.

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Bandyopadhyay, Biswadeb. "A Large Software System Test Engineering Practices." American Journal of Advanced Computing 1, no. 3 (2020): 1–10. http://dx.doi.org/10.15864/ajac.1301.

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The following Paper describes the experiences of a test engineering team, which had worked with a large software product development and support activity. This team has studied the existing software product, available test tools, test environment, with an objective of analyzing existing testing processes and methodologies for this large software product. The Paper discusses a number of initiatives and recommendations made by this test engineering group aimed at increasing the testing efficiency, optimizing the test suites, measuring and improving effectiveness of test cases and the quantifiabl

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Rana, Alaudeen Abdulrahman, Ali Hamid Sawsan, and Ruaa Ali Khamees Dr. "The Best Practices of Extreme Programming (XP) Quality (Review)." Recent Trends in Information Technology and its Application 4, no. 1 (2021): 1–16. https://doi.org/10.5281/zenodo.4662322.

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Software engineering (SE) plays an important role for improving society‘s well-being through the use of high quality software. There is noted that most of the software projects are failed, due to missing or poor software development practices in software organizations. Due to this reason, having a good and sound software development methodology is crucial for software organization to satisfy stakeholder‘s requirements. One of the prevalent software development methodologies in SE is Extreme programming (XP) methodology. As a matter of fact, an appropriate software development metho

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