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LEADER 00000cam a22005897i 4500
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082 04 005.1/112
082 04 005.1/112|223/eng/20230228
099 eBook O'Reilly for Public Libraries
245 00 Agile Software Development :|btrends, challenges and
applications /|cedited by Susheela Hooda, Vandana Mohindru
Sood, Yashwant Singh, Sandeep Dalal and Manu Sood.
|h[O'Reilly electronic resources]
264 1 Hoboken, NJ :|bJohn Wiley & Sons ;|aBeverly, MA :
|bScibener,|c2023.
264 4 |c©2023
300 1 online resource
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
505 0 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
-- Index
520 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 well.
588 Description based on online resource; title from digital
title page (viewed on April 25, 2023).
590 O'Reilly|bO'Reilly Online Learning: Academic/Public
Library Edition
650 0 Agile software development.
650 6 Méthodes agiles (Développement de logiciels)
650 7 Agile software development|2fast
700 1 Hooda, Susheela,|eeditor.
700 1 Sood, Vandana Mohindru,|eeditor.
700 1 Singh, Yashwant,|eeditor.
700 1 Dalal, Sandeep,|eeditor.
700 1 Sood, Manu,|eeditor.
776 08 |iPrint version:|z1119896398|z9781119896395
|w(OCoLC)1347020153
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
learning.oreilly.com/library/view/~/9781119896395/?ar
|zAvailable on O'Reilly for Public Libraries
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