Mpirical Methods And Studies In Software Engineering
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Empirical Methods and Studies in Software Engineering
Author: Reidar Conradi
language: en
Publisher: Springer Science & Business Media
Release Date: 2003-08-21
Nowadays, societies crucially depend on high-quality software for a large part of their functionalities and activities. Therefore, software professionals, researchers, managers, and practitioners alike have to competently decide what software technologies and products to choose for which purpose. For various reasons, systematic empirical studies employing strictly scientific methods are hardly practiced in software engineering. Thus there is an unquestioned need for developing improved and better-qualified empirical methods, for their application in practice and for dissemination of the results. This book describes different kinds of empirical studies and methods for performing such studies, e.g., for planning, performing, analyzing, and reporting such studies. Actual studies are presented in detail in various chapters dealing with inspections, testing, object-oriented techniques, and component-based software engineering.
Contemporary Empirical Methods in Software Engineering
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.
Guide to Advanced Empirical Software Engineering
Author: Forrest Shull
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-11-21
Empirical studies have become an important part of software engineering research and practice. Ten years ago, it was rare to see a conference or journal article about a software development tool or process that had empirical data to back up the claims. Today, in contrast, it is becoming more and more common that software engineering conferences and journals are not only publishing, but eliciting, articles that describe a study or evaluation. Moreover, a very successful conference (International Symposium on Empirical Software Engineering and Measurement), journal (Empirical Software Engineering), and organization (International Software Engineering Research Network) have all evolved in the last 10 years that focus solely on this area. As a further illustration of the growth of empirical software engineering, a search in the articles of 10 software engineering journals showed that the proportion of articles that used the term “empirical software engineering” d- bled from about 6% in 1997 to about 12% in 2006. While empirical software engineering has seen such substantial growth, there is not yet a reference book that describes advanced techniques for running studies and their application. This book aims to fill that gap. The chapters are written by some of the top international empirical software engineering researchers and focus on the practical knowledge necessary for conducting, reporting, and using empirical methods in software engineering. The book is intended to serve as a standard reference.