Name
Abstract | ||
|---|---|---|
The interest of Technical Debt (TD) is difficult to calculate, especially on a project level. Current approaches are based on fine-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 different 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 first step towards assessing the interest of TD at a project level. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3120459.3120469 | XP Workshops |
DocType | ISBN | Citations |
Conference | 978-1-4503-5264-2 | 1 |
PageRank | References | Authors |
0.34 | 5 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Martini | 1 | 96 | 17.16 |
| Simon Vajda | 2 | 1 | 0.34 |
| Rajesh Vasa | 3 | 218 | 23.64 |
| Allan Jones | 4 | 1 | 0.34 |
| Mohamed Abdelrazek | 5 | 1 | 0.34 |
| John Grundy | 6 | 1 | 0.34 |
| Jan Bosch | 7 | 807 | 88.13 |