Contemporary Empirical Methods in Software Engineering

This book provides an overview of contemporary empirical methods in software engineering, covering research methodologies, human factors, data collection, and impact. It discusses study strategies, data collection, knowledge acquisition, and knowledge transfer, and is suitable for academics and practitioners. Chapter 17 is available open access.

Format: Paperback / softback
Length: 525 pages
Publication date: 28 August 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the realm of contemporary empirical methods in software engineering, encompassing a wide range of research methodologies, human factors, data collection and processing, evidence aggregation and synthesis, and the impact of software engineering research. The individual chapters explore innovative approaches that shape the ongoing evolution of empirical software engineering and serve as the foundation for future advancements.

The book begins with an introductory chapter that provides a historical backdrop and highlights significant developments in empirical software engineering over the past 50 years. It then proceeds to divide the content into four distinct parts:

Study Strategies: This section offers valuable guidelines and insights for conducting surveys, design science studies, and other empirical research approaches. It covers topics such as sample selection, data collection techniques, and analysis methods.

Data Collection, Production, and Analysis: This part explores diverse methods and techniques used in data science, biometric measurement, and simulation-based studies. It highlights approaches that facilitate the collection, processing, and analysis of large and complex datasets.

Knowledge Acquisition and Aggregation: This chapter focuses on literature research, threats to validity, and evidence aggregation. It explores the role of systematic reviews, meta-analyses, and other methods in synthesizing and integrating existing knowledge to advance the field.

Knowledge Transfer: This section discusses the importance of open science and knowledge transfer with industry. It explores strategies for disseminating research findings, engaging with practitioners, and applying research insights to real-world software engineering problems.

Empirical methods, such as experimentation, have emerged as powerful tools in advancing the field of software engineering. By providing scientific evidence on software development, operation, and maintenance, as well as supporting practitioners in their decision-making and learning processes, these methods have significant implications for both academics and industry practitioners.

This book is designed to cater to a diverse audience. It serves as a valuable resource for academics seeking to expand their knowledge and expertise in empirical software engineering. It also provides practical insights and methodologies for industrial researchers and practitioners who are looking for novel ways to validate their assumptions and experiences. Chapter 17, in particular, is available open access under a Creative Commons Attribution 4.0 International License via the provided link: link.springer.com.

In conclusion, this comprehensive book offers a wealth of knowledge and insights into contemporary empirical methods in software engineering. It provides a solid foundation for future research endeavors and serves as a valuable resource for practitioners and academics alike. By embracing empirical approaches, the field of software engineering can continue to evolve, improve, and make a meaningful impact on the world.

Weight: 813g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030324919
Edition number: 1st ed. 2020