Faroghi, Said (2022) Mining architectural knowledge in issue tracking systems. Bachelor's Thesis, Computing Science.
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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) |
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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 |
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