Effort and Cost of Software Engineering: A Comparison of Two Industrial Data Sets
conference contributionposted on 2018-02-02, 16:51 authored by Hennie Huijgens, Arie Van Deursen, Leandro L. Minku, Chris Lokan
Context: The research literature on software development projects usually assumes that effort is a good proxy for cost. Practice, however, suggests that there are circumstances in which costs and effort should be distinguished. Objectives: We determine similarities and differences between size, effort, cost, duration, and number of defects of software projects. Method: We compare two established repositories (ISBSG and EBSPM) comprising almost 700 projects from industry. Results: We demonstrate a (log)-linear relation between cost on the one hand, and size, duration and number of defects on the other. This justifies conducting linear regression for cost. We establish that ISBSG is substantially different from EBSPM, in terms of cost (cheaper) and duration (faster), and the relation between cost and effort. We show that while in ISBSG effort is the most important cost factor, this is not the case in other repositories, such as EBSPM in which size is the dominant factor. Conclusion: Practitioners and researchers alike should be cautious when drawing conclusions from a single repository.
CitationEASE'17 Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, 2017, pp. 51-60
Author affiliation/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Computer Science
SourceEASE'17, The 21st International Conference on Evaluation and Assessment in Software Engineering, Karlskrona, Sweden
- AM (Accepted Manuscript)