Experimentation In Software Engineering
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Experimentation in Software Engineering
Author: Claes Wohlin
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-06-16
Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization.
Design of Experiments for Engineers and Scientists
The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE - Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology - New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry
Experimentation in Software Engineering
This textbook, which has become the leading source for empirical software engineering research through its earlier editions, provides an in-depth introduction to experimentation in software engineering. The focus is on the steps to go through when conducting experiments. It also introduces a structure for selecting a research design and an introduction to systematic literature reviews, surveys, and case study research. Experiments are valuable tools for all software engineers who evaluate and choose between different solutions, methods, techniques, languages, and tools. The book has three main parts. Part I introduces empirical research through a structure for selecting a research design and explains several essential areas related to empirical research. Moreover, it provides introductions to systematic literature reviews, experiments, surveys, and case studies. Part II devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendices. The book provides indispensable information regarding empirical studies, particularly for experiments, but also for systematic literature studies, surveys, and case studies. This new edition comprises substantial new material. This includes a chapter on selecting a research design, which helps put experimentation into a broader context of other research approaches. Furthermore, a new chapter on survey research has been added. Novel contributions concerning A/B testing, replications, open science, validity threats, paired comparison design and tools for statistical analysis have been added. Moreover, systematic literature studies, experiments, and case study research descriptions have been consolidated. The book has also been updated based on the evolution of software engineering since the previous edition's publication. The book is intended for students, teachers, researchers, and practitioners who would like to compare different options, for example, feature designs, or different development methods, techniques, languages, or tools. Teachers can use the book for undergraduate or graduate students; the book can be used as a course book on experimentation and empirical studies in general. Researchers will also benefit from the book by learning more about how to conduct empirical studies. Likewise, practitioners may use it as a “cookbook” when evaluating different solutions, alternatively for evaluating new methods or techniques before implementing them in their organisation.