Abstract
The interest of Technical Debt (TD) is difcult to calculate, especially on a project level. Current approaches are based on fne-grain issue assessment, but there is no evidence about how TD is assessed on a project level. A few tools use an aggregation function that sum the TD issues on a project level. We conducted a multiple case-study on four diferent projects. We asked the project teams to assess the TD both on an issue level and on a project level. We also asked the product manager and a senior developer to assess the TD on a project level. We found that the function mapping the interest of TD to a project overall is not the sum of issue-level TD. We report the quantitative results of the performed experiment and we also developed a qualitative explanation of the results based on interviews with the development team. This paper represents a frst step towards assessing the interest of TD at a project level.
Original language | English |
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Title of host publication | Proceedings of the XP2017 Scientific Workshops |
Editors | Francesca Arcelli Fontana, Clemente Izurieta, Robert L. Nord, Wolfgang Trumler |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 6 |
Volume | Part F129907 |
ISBN (Electronic) | 9781450352642 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | International Workshop on Managing Technical Debt 2017 - Cologne, Germany Duration: 22 May 2017 → 22 May 2017 Conference number: 9th |
Workshop
Workshop | International Workshop on Managing Technical Debt 2017 |
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Abbreviated title | MTD 2017 |
Country/Territory | Germany |
City | Cologne |
Period | 22/05/17 → 22/05/17 |
Keywords
- Case study
- Interest
- Project management
- Technical debt
- Tracking