Effort and Cost in Software Engineering

A Comparison of Two Industrial Data Sets

Conference paper (2017)
Research Group
Software Engineering (EEMCS) (TU Delft)
Copyright: © 2017 H.K.M. Huijgens, A. van Deursen, Leandro L. Minku, Chris Lokan
DOI
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https://doi.org/10.1145/3084226.3084249
Benchmarking Software Economics Evidence-Based Software Portfolio Management EBSPM ISBSG Cost Prediction
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Published Date

2017-6

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Software Engineering

Abstract

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 similar-ities and differences between size, effort, cost, duration, and num-ber of defects of software projects. Method: We compare two es-tablished 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 differ-ent 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.