Empirical Research in Software Engineering: Concepts, Analysis, and Applications, 1st Edition (e-Book) book cover

Empirical Research in Software Engineering

Concepts, Analysis, and Applications, 1st Edition

By Ruchika Malhotra

Chapman and Hall/CRC

498 pages

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Hardback: 9781498719728
pub: 2015-10-05
eBook (VitalSource) : 9780429183676
pub: 2016-03-09
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Empirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field. Empirical Research in Software Engineering: Concepts, Analysis, and Applications shows how to implement empirical research pro

Table of Contents

Introduction. Systematic Literature Reviews. Software Metrics. Experimental Design. Mining Data from Software Repositories. Data Analysis and Statistical Testing. Model Development and Interpretation. Validity Threats. Reporting Results. Mining Unstructured Data. Demonstrating Empirical Procedures. Tools for Analyzing Data. Appendix. References. Index.

About the Author

Ruchika Malhotra is an assistant professor in the Department of Software Engineering at Delhi Technological University (formerly Delhi College of Engineering). She was awarded the prestigious UGC Raman Fellowship for pursuing post-doctoral research in the Department of Computer and Information Science at Indiana University-Purdue University. She received her master's and doctorate degrees in software engineering from the University School of Information Technology of Guru Gobind Singh Indraprastha University. She received the IBM Best Faculty Award in 2013 and has published more than 100 research papers in international journals and conferences. Her research interests include software testing, improving software quality, statistical and adaptive prediction models, software metrics, neural nets modeling, and the definition and validation of software metrics.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Software Development & Engineering / General
COMPUTERS / Computer Engineering
MATHEMATICS / Probability & Statistics / General