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.
Original language | English |
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Title of host publication | Proceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering, EASE 2017 |
Editors | Emilia Mendes, Steve Counsell, Kai Petersen |
Place of Publication | New York, NY |
Publisher | ACM |
Pages | 51-60 |
Number of pages | 10 |
ISBN (Electronic) | 978-1-4503-4804-1 |
DOIs | |
Publication status | Published - Jun 2017 |
Event | EASE 2017: 21st International Conference on Evaluation and Assessment in Software Engineering - BTH, Karlskrona, Sweden Duration: 15 Jun 2017 → 16 Jul 2017 Conference number: 21 http://ease2017.bth.se/ |
Conference
Conference | EASE 2017 |
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Country/Territory | Sweden |
City | Karlskrona |
Period | 15/06/17 → 16/07/17 |
Internet address |
Keywords
- Software Economics
- Evidence-Based Software Portfolio Management
- EBSPM
- Benchmarking
- ISBSG
- Cost Prediction
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Dive into the research topics of 'Effort and Cost in Software Engineering: A Comparison of Two Industrial Data Sets'. Together they form a unique fingerprint.Datasets
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Evidence-Based Software Portfolio Management (EBSPM) Research Repository
Huijgens, H. K. M. (Creator), TU Delft - 4TU.ResearchData, 20 Jul 2017
DOI: 10.4121/UUID:42FD1BE1-325F-47A4-BA39-31AF35CA7F75
Dataset/Software: Dataset