Claes Wohlin; Per Runeson; Martin Höst; Magnus C. Ohlsson; Björn Regnell; Anders Wesslén Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2024) Pehmeäkantinen kirja
Maurice Stephan Michel; Joachim W. Thüroff; Günter Janetschek; Manfred P. Wirth Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2023) Kovakantinen kirja
J. B. Friedlander; A. Perelli; D.R. Heath-Brown; C. Viola; H. Iwaniec; J. Kaczorowski Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2006) Pehmeäkantinen kirja
T.H. Bullock; A. Fessard; R.H. Hartline; A.J. Kalmijn; P. Laurent; R.W. Murray; H. Scheich; E. Schwartz; T. Szabo Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2011) Pehmeäkantinen kirja
B. Maydell v.; K. Borchardt; K.-D. Henke; R. Leitner; R. Muffels; M. Quante; P.-L. Rauhala; G. Verschraegen; M Zukowski Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005) Kovakantinen kirja
Ngoc Thanh Nguyen; Ryszard Kowalczyk; Jacek Mercik; Anna Motylska-Kuźma Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2023) Pehmeäkantinen kirja
Roland Bless; Stefan Mink; Erik-Oliver Bla_; Hans-Joachim Hof; Kendy Kutzner; Marcus Schvller; Michael Conrad; Erik Blac Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005) Kirja
Matti Anniko; Manuel Bernal-Sprekelsen; Victor Bonkowsky; Patrick Bradley; Salvatore Iurato Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
Jean-Louis Colliot-Thélène; Pietro Corvaja; Peter Swinnerton-Dyer; Carlo Gasbarri; Paul Vojta Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
Lorna Uden; Emilio S. Corchado Rodríguez; Juan F. De Paz Santana; Fernando De la Prieta Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
Jesús Ariel Carrasco-Ochoa; Jose Francisco Martinez-Trinidad; Jose Arturo Olvera López; Kim L. Boyer Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
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.