AGILE SOFTWARE DEVELOPMENT : trends, challenges and applications / edited by Susheela Hooda, Vandana Mohindru Sood, Yashwant Singh, Sandeep Dalal and Manu Sood

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Hoboken, NJ : John Wiley & Sons, Inc, 2023Beschreibung: 1 Online-Ressource (1 online resource)ISBN:

9781119896821
1119896827
9781119896838
1119896835

Schlagwörter:

Agile software development

Andere physische Formen: 1119896398 | 9781119896395 | 1119896398 | 9781119896395 | Erscheint auch als: 1119896398 Druck-AusgabeDDC-Klassifikation:

005.1/112

LOC-Klassifikation:

QA76.76.D47

Online-Ressourcen:

Zugang im Netz des KIT

Zusammenfassung: Front Matter -- Agile Software Development in the Digital World - Trends and Challenges / Kapil Mehta, Vandana Mohindru Sood -- Agile Framework Adaptation Issues in Various Sectors / Anita Sardana, Vidhu Kiran Sharma -- Vulnerability Assessment Tools for IoT / Pooja Anand, Yashwant Singh -- Interoperable Agile IoT / Bharti Rana, Yashwant Singh -- Functional and Non-Functional Requirements in Agile Software Development / S Saroja, S Haseena -- Minimizing Cost, Effort, and Implementation Complexity for Adopting Security Requirements in an Agile Development Process for Cyber-Physical Systems / Zakir Ahmad Sheikh, Yashwant Singh -- A Systematic Literature Review on Test Case Prioritization Techniques / Ajmer Singh, Anita Singhrova, Rajesh Bhatia, Dhavleesh Rattan -- A Systematic Review of the Tools and Techniques in Distributed Agile Software Development / Dipti Jadhav, Jyoti Kundale, Sumedha Bhagwat, Jyoti Joshi -- Distributed Agile Software Development (DASD) Process / Samli, Monisha Gupta, Abhishek Sharma, Susheela Hooda, Jaswinder Singh Bhatia -- Task Allocation in Agile-Based Distributed Project Development Environment / Madan Singh, Naresh Chauhan, Rashmi Popli -- Software Quality Management by Agile Testing / Sharanpreet Kaur, Susheela Hooda, Harsimrat Deo -- A Deep Drive into Software Development Agile Methodologies for Software Quality Assurance / Mitali Chugh, Neeraj Chugh -- Factors and Techniques for Software Quality Assurance in Agile Software Development / Gagandeep Kaur, Inderpreet Kaur, Shilpi Harnal, Swati Malik -- Classification of Risk Factors in Distributed Agile Software Development Based on User Story / Esha Khanna, Rashmi Popli, Naresh Chauhan -- Software Effort Estimation with Machine Learning - A Systematic Literature Review / Ritu, Pankaj Bhambri -- Improving the Quality of Open Source Software / Sharanpreet Kaur, Satwinder Singh -- Artificial Intelligence Enables Agile Software Development Life Cycle / Sima Das, Ajay Kumar Balmiki, Nimay Chandra Giri -- Machine Learning in ASD / Saindhab Chattaraj, Taniya Chakraborty, Chandan Koner, Subir Gupta -- IndexZusammenfassung: AGILE SOFTWARE DEVELOPMENT A unique title that introduces the whole range of agile software development processes from the fundamental concepts to the highest levels of applications such as requirement analysis, software testing, quality assurance, and risk management. Agile Software Development (ASD) has become a popular technology because its methods apply to any programming paradigm. It is important in the software development process because it emphasizes incremental delivery, team collaboration, continuous planning, and learning over delivering everything at once near the end. Agile has gained popularity as a result of its use of various frameworks, methods, and techniques to improve software quality. Scrum is a major agile framework that has been widely adopted by the software development community. Metaheuristic techniques have been used in the agile software development process to improve software quality and reliability. These techniques not only improve quality and reliability but also test cases, resulting in cost-effective and time-effective software. However, many significant research challenges must be addressed to put such ASD capabilities into practice. With the use of diverse techniques, guiding principles, artificial intelligence, soft computing, and machine learning, this book seeks to study theoretical and technological research findings on all facets of ASD. Also, it sheds light on the latest trends, challenges, and applications in the area of ASD. This book explores the theoretical as well as the technical research outcomes on all the aspects of Agile Software Development by using various methods, principles, artificial intelligence, soft computing, and machine learning. Audience The book is designed for computer scientists and software engineers both in research and industry. Graduate and postgraduate students will find the book accessible as wellPPN: PPN: 1882633547Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB

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