Research and Evidence in Software Engineering (eBook, ePUB)

From Empirical Studies to Open Source Artifacts
Redaktion: Gupta, Varun; Gupta, Chetna

• Format: ePub

Produktbeschreibung

The book stresses empirical studies to highlight research gaps, providing constructive feedback on existing research to aid software engineering researchers by providing code and software engineering data sets.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 338
• Erscheinungstermin: 15. Juni 2021
• Englisch
• ISBN-13: 9781000398878
• Artikelnr.: 61617696

Autorenporträt

Dr. Varun Gupta received a Ph.D. degree and Master of Technology in Computer Science and Engineering degree from Uttarakhand Technical University, India. Currently, he is a postdoctoral researcher at University of Beira Interior, Portugal. Dr. Chetna Gupta is an Associate Professor in the Computer Science Engineering Department of Jaypee Institute of Information Technology. Noida, India. She has more than 15 years of academic experience and her research areas include software engineering, distributed software engineering, search based software engineering, risk management, and cloud computing.

Inhaltsangabe

Preface. Editor Biographies. Contributor Biographies. 1 Performance of
Execution Tracing with Aspect-Oriented and Conventional Approaches. 2 A
Survey on Software Test Specification Qualities for Legacy Software
Systems. 3 Whom Should I Talk To?: And How That Can Affect My Work. 4
Software Project Management: Facts versus Beliefs and Practice. 5
Inter-Parameter Dependencies in Real-World Web APIs: The IDEA Dataset. 6
Evaluating Testing Techniques in Highly-Configurable Systems: The Drupal
Dataset. 7 A Family of Experiments to Evaluate the Effects of Mindfulness
on Software Engineering Students: The MetaMind Dataset. 8 Process
Performance Indicators for IT Service Management: The PPI Dataset. 9
Prioritization in Automotive Software Testing: Systematic Literature Review
and Directions for Future Research. 10 Deep Embedding of Open Source
Software Bug Repositories for Severity Prediction. 11 Predict Who: An
Intelligent Game Using NLP and Knowledge Graph Model. 12 Mining
Requirements and Design Documents in Software Repositories Using Natural
Language Processing and Machine Learning Approaches. 13 Empirical Studies
on Using Pair Programming as a Pedagogical Tool in Higher Education
Courses: A Systematic Literature Review. 14 Programming Multi-Agent
Coordination Using NorJADE Framework. Index.