Editors:
- Presents contemporary empirical methods in software engineering that will impact future research
- Gathers contributions related to the plurality of research methodologies, data collection and processing, aggregation and synthesis of evidence, and knowledge transfer
- Is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences
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Table of contents (18 chapters)
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Front Matter
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Data Collection, Production, and Analysis
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Front Matter
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Knowledge Acquisition and Aggregation
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Front Matter
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About this book
This book presents contemporary empirical methods in software engineering related to the plurality of research methodologies, human factors, data collection and processing, aggregation and synthesis of evidence, and impact of software engineering research. The individual chapters discuss methods that impact the current evolution of empirical software engineering and form the backbone of future research.
Following an introductory chapter that outlines the background of and developments in empirical software engineering over the last 50 years and provides an overview of the subsequent contributions, the remainder of the book is divided into four parts: Study Strategies (including e.g. guidelines for surveys or design science); Data Collection, Production, and Analysis (highlighting approaches from e.g. data science, biometric measurement, and simulation-based studies); Knowledge Acquisition and Aggregation (highlighting literature research, threats to validity, and evidence aggregation); and Knowledge Transfer (discussing open science and knowledge transfer with industry).
Empirical methods like experimentation have become a powerful means of advancing the field of software engineering by providing scientific evidence on software development, operation, and maintenance, but also by supporting practitioners in their decision-making and learning processes. Thus the book is equally suitable for academics aiming to expand the field and for industrial researchers and practitioners looking for novel ways to check the validity of their assumptions and experiences.
Chapter 17 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Keywords
- Evidence-based Software Engineering
- Experimentation
- Biometric Measurement
- Systematic Reviews
- Design Science
- Open Science
- Bayesian Data Analysis
- Knowledge Transfer
- Empirical Software Engineering
- Empirical Studies
- Software Development Techniques
- Software development process management
- Collaboration in software development
- Software Development Techniques
- Software development process management
- Collaboration in software development
Reviews
Editors and Affiliations
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Institute of Computer Science, University of Innsbruck, Innsbruck, Austria
Michael Felderer
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Systems Engineering and Computer Science, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
Guilherme Horta Travassos
About the editors
Michael Felderer is a professor at the Department of Computer Science at the University of Innsbruck, Austria, and a guest professor at the Department of Software Engineering at the Blekinge Institute of Technology, Sweden. His fields of expertise and interest include software quality, testing, software processes, data-driven engineering, software analytics and measurement, requirements engineering, model-based software engineering, and empirical research methodology in software and security engineering. His research has a strong empirical focus also using methods of data science and is directed towards development and evaluation of efficient and effective methods to improve quality and value of industrial software systems and processes in close collaboration with companies. He has more than 10 years of industrial experience as a senior executive consultant, project manager and software engineer and is an internationally recognized member of the software engineering research community.
Guilherme Horta Travassos is a professor at the Systems Engineering and Computer Science Program (PESC), COPPE/Federal University of Rio de Janeiro, a CNPq Researcher and an ISERN member. He leads the Experimental Software Engineering Group at COPPE/UFRJ since 2001, after coming back from a post-doctoral at UMCP/USA and NASA/SEL. His research interests concern experimental software engineering and the engineering of contemporary software systems (Internet of things, industry 4.0, and context-awareness, among others) and involve software quality, software verification, validation and testing, ubiquitous systems, simulation, and environments and tools to support the development and evolution of experimentation and development methods in software engineering. He also intensively collaborates with the software industry through research and development projects at the COPPE/UFRJ.
Bibliographic Information
Book Title: Contemporary Empirical Methods in Software Engineering
Editors: Michael Felderer, Guilherme Horta Travassos
DOI: https://doi.org/10.1007/978-3-030-32489-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-32488-9Published: 28 August 2020
Softcover ISBN: 978-3-030-32491-9Published: 28 August 2021
eBook ISBN: 978-3-030-32489-6Published: 27 August 2020
Edition Number: 1
Number of Pages: X, 525
Number of Illustrations: 41 b/w illustrations, 42 illustrations in colour
Topics: Software Engineering, Software Management