Research and Evidence in Software Engineering : From Empirical Studies to Open Source Artifacts book cover
1st Edition

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




ISBN 9780367358525
Published June 16, 2021 by Auerbach Publications
338 Pages 62 B/W Illustrations

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Book Description

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

Preface

Editor Biographies

Contributor Biographies

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

SUBHAJIT DATTA

4 Software Project Management: Facts versus Beliefs and Practice

LAWRENCE PETERS

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

Index

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Editor(s)

Biography

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.