Abstract
Software economic analysis supports practitioners making decisions during the development process. Effective analysis requires considering higher productivity and quality while maintaining lower effort and time-to-market for business demands. Former studies have identified multiple factors of team and project that determine software economics. However, there is serious conclusive inconsistency. Experts are calling for more empirical evidence with objective data. This study aims at validating the empirical relationships between team/project factors and software economic measurement, including productivity, quality, effort, and time-to-market. The data analysis bases on a renowned dataset, ISBSG. Our findings indicate multiple factors, including team size, language type, and organization type, turn out to have a significant impact on software economics.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) |
| Publisher | IEEE |
| Pages | 43-47 |
| Volume | 2016-January |
| ISBN (Electronic) | 978-1-4673-8066-9 |
| DOIs | |
| Publication status | Published - Dec 2015 |
| Event | 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015) - , Singapore Duration: 6 Dec 2015 → 9 Dec 2015 http://www.IEEM.org |
Conference
| Conference | 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015) |
|---|---|
| Place | Singapore |
| Period | 6/12/15 → 9/12/15 |
| Internet address |
Research Keywords
- ISBSG
- productivity
- Quality
- software economics
- team size
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