Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts

ISBN-13: 9780367358525 / Angielski / Twarda / 2021 / 310 str.

Varun Gupta; Chetna Gupta

Opis

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.

Spis treści

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.