Contemporary Empirical Methods in Software Engineering / edited by Michael Felderer, Guilherme Horta Travassos.

Format:

Book

Contributor:

Felderer, Michael, editor.

Travassos, Guilherme Horta, editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Software engineering.

Management information systems.

Software Engineering.

Software Management.

Local Subjects:

Software Engineering.

Software Management.

Physical Description:

1 online resource (X, 525 pages) : 83 illustrations, 42 illustrations in color

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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.

Contents:

1. Introduction: The Evolution of Empirical Methods in Software Engineering

Part I: Study Strategies

2. Guidelines for Conducting Software Engineering Research

3. Preliminary Guidelines for Case Survey Research in Software Engineering

4. Challenges in Survey Research

5. The Design Science Paradigm as a Frame for Empirical Software Engineering

Part II: Data Collection, Production, and Analysis

6. Biometric Measurement in Software Engineering

7. Empirical Software Engineering Experimentation with Human Computation

8. Data Science and Empirical Software Engineering

9. Optimization in Software Engineering - A Pragmatic Approach

10. The Role of Simulation-based Studies in Software Engineering Research

11. Bayesian data analysis in empirical software engineering-The case of missing data

Part III: Knowledge Acquisition and Aggregation

12. Automating Systematic Literature Reviews

13. Rapid Reviews in Software Engineering

14. Benefitting from the Grey Literature in Software Engineering Research

15: Systematic Assessment of Threats to Validity in Software Engineering Secondary Studies

16. Evidence Aggregation in Software Engineering

Part IV: Knowledge Transfer

17. Open Science in Software Engineering

18. Practical industry co-production and technology and knowledge interchange.

Other Format:

Printed edition:

ISBN:

978-3-030-32489-6

9783030324896

Access Restriction:

Restricted for use by site license.