Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts introduces advanced software engineering to software engineers, scientists, postdoctoral researchers, academicians, software consultants, management executives, doctoral students, and advanced level postgraduate computer science students.
This book contains research articles addressing numerous software engineering research challenges associated with various software development-related activities, including programming, testing, measurements, human factors (social software engineering), specification, quality, program analysis, software project management, and more. It provides relevant theoretical frameworks, empirical research findings, and evaluated solutions addressing the research challenges associated with the above-mentioned software engineering activities.
To foster collaboration among the software engineering research community, this book also reports datasets acquired systematically through scientific methods and related to various software engineering aspects that are valuable to the research community. These datasets will allow other researchers to use them in their research, thus improving the quality of overall research. The knowledge disseminated by the research studies contained in the book will hopefully motivate other researchers to further innovation in the way software development happens in real practice.
Table of Contents
1 Performance of Execution Tracing with Aspect-Oriented and Conventional Approaches
TAMAS GALLI, FRANCISCO CHICLANA, AND FRANCOIS SIEWE
2 A Survey on Software Test Specification Qualities for Legacy Software Systems
SHILPA MARIAM GEORGE, SARADHA YASASVI YEDURUVADA, AND DAE-KYOO KIM
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
ALBERTO MARTIN-LOPEZ, SERGIO SEGURA, AND ANTONIO RUIZ-CORTÉS
6 Evaluating Testing Techniques in Highly-Configurable Systems: The Drupal Dataset
ANA B. SÁNCHEZ, SERGIO SEGURA, AND ANTONIO RUIZ-CORTÉS
7 A Family of Experiments to Evaluate the Effects of Mindfulness on Software Engineering Students: The MetaMind Dataset
BEATRIZ BERNÁRDEZ, MARGARITA CRUZ, AMADOR DURÁN, JOSÉ A. PAREJO, AND ANTONIO RUIZ-CORTÉS
8 Process Performance Indicators for IT Service Management: The PPI Dataset
BEDILIA ESTRADA-TORRES, ADELA DEL-RÍO-ORTEGA, MANUEL RESINAS, AND ANTONIO RUIZ-CORTÉS
9 Prioritization in Automotive Software Testing: Systematic Literature Review and Directions for Future Research
NAOHIKO TSUDA, ANKUSH DADWAL, HIRONORI WASHIZAKI, YOSHIAKI FUKAZAWA, MASASHI MIZOGUCHI, AND KENTARO YOSHIMURA
10 Deep Embedding of Open Source Software Bug Repositories for Severity Prediction
ABEER HAMDY AND GLORIA EZZAT
11 Predict Who: An Intelligent Game Using NLP and Knowledge Graph Model
TAMEEM AHMAD, NESAR AHMAD, MOHAMMAD SAQIB, AND ABU HUZAIFA KHAN
12 Mining Requirements and Design Documents in Software Repositories Using Natural Language Processing and Machine Learning Approaches
ISHAYA GAMBO, CLAVERS CHABI, SIMON YANGE, RHODA IKONO, AND THERESA OMODUNBI
13 Empirical Studies on Using Pair Programming as a Pedagogical Tool in Higher Education Courses: A Systematic Literature Review
KULJIT KAUR CHAHAL, AMANPREET KAUR, AND MUNISH SAINI
14 Programming Multi-Agent Coordination Using NorJADE Framework
TOUFIK MARIR, SELMA MAMMERI, AND ROHALLAH BENABOUD
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.