Samenvatting
This work presents a knowledge-representation-based approach for analysing software systems. Its main components are: a generic and extensible knowledge model, and a knowledge extractor tool that generates instance-level knowledge graphs from software repositories (currently Java). Our knowledge model can be used as a shared data-model in a software analysis pipeline. We illustrate the potential uses of our knowledge representation by performing experimental architecture recovery and identifying design pattern instance. We intend to use our ontology and extraction tool as a partial foundation for automated reasoning on software systems.
Originele taal-2 | Engels |
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Titel | 2023 IEEE/ACM 20th International Conference on Mining Software Repositories, MSR 2023 |
Uitgeverij | Institute of Electrical and Electronics Engineers |
Pagina's | 120-124 |
Aantal pagina's | 5 |
ISBN van elektronische versie | 979-8-3503-1184-6 |
DOI's | |
Status | Gepubliceerd - 12 jul. 2023 |
Evenement | 20th IEEE/ACM International Conference on Mining Software Repositories, MSR 2023 - Melbourne, Australië Duur: 15 mei 2023 → 16 mei 2023 |
Congres
Congres | 20th IEEE/ACM International Conference on Mining Software Repositories, MSR 2023 |
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Land/Regio | Australië |
Stad | Melbourne |
Periode | 15/05/23 → 16/05/23 |