Software industry experiments: A systematic literature review

Abstract

Background: There is no specialized survey of experiments conducted in the software industry. Goal: Identify the major features of software industry experiments, such as time distribution, independent and dependent variables, subject types, design types and challenges. Method: Systematic literature review, taking the form of a scoping study. Results: We have identified 10 experiments and five quasi-experiments up to July 2012. Most were run as of 2003. The main features of these studies are that they test technologies related to quality and management and analyse outcomes related to effectiveness and effort. Most experiments have a factorial design. The major challenges faced by experimenters are to minimize the cost of running the experiment for the company and to schedule the experiment so as not to interfere with production processes. Conclusion: Companies appear to be disinclined to run experiments because they are not perceived to have direct benefits. We believe that researchers staging a field experiment in a company should adopt a business-aligned stance and plan an experiment that clearly benefits managers and professionals. © 2013 IEEE.