Faroghi, Said (2022) Mining architectural knowledge in issue tracking systems. Bachelor's Thesis, Computing Science.
|
Text
bCS_2022_FaroghiS.pdf Download (935kB) | Preview |
|
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
toestemming.pdf Restricted to Registered users only Download (147kB) |
Abstract
Recording and accessing architectural knowledge (AK) is not a trivial task. A promising source of AK could reside in issue tracking systems, which are platforms for developers to coordinate building software, and therefore it is a hotspot for software-related discussions. We have evaluated two tools that specialize in extracting AK issues, by annotating the generated issues with architectural design decisions (ADD). We developed a coding book to help the annotation process. Furthermore, we analyzed the issues to see how their AK characteristics and other properties differ based on the tools they came from.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Soliman, M.A.M. and Avgeriou, P. |
| Degree programme: | Computing Science |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 16 Feb 2022 09:14 |
| Last Modified: | 16 Feb 2022 09:14 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/26603 |
Actions (login required)
 |
View Item |