Investigating the Effect of Partial and Real-Time Feedback in INMAP Code-To-Architecture Mapping

• Autorzy: Sinkala, Zipani Tom , Herold, Sebastian
• Języki publikacji: EN

Abstrakty

EN

InMap is an interactive and iterative information retrieval-based automated mapping algorithm that produces code-to-architecture mapping recommendations. In its original form, InMap requires an architect to provide feedback for each code-to-architecture mapping recommendation in a given set produced (complete feedback). However, architects may delay/defer deciding on some of the mapping recommendations provided. This leads us to ask, how would InMap perform if only a subset of the recommendations provided (partial feedback) or only a single recommendation (real-time feedback) is reviewed by the architect? Through carefully designed mapping experiments, we show that an architect giving partial or real-time feedback does not harm the recall and precision of the recommendations produced by InMap. On the contrary, we observed from the results of the systems tested a net increase of 2-5\% (depending on the approach). This shows that in addition to InMap's original complete feedback approach, the two new approaches of collecting feedback presented in this paper, i.e. partial and real-time, create flexibility in how software architecture consistency checking tool developers may choose to collect mapping feedback and how architects may opt-to provide feedback, with no harm to the recall and precision of the results.

Słowa kluczowe

PL

oprogramowanie; mapowanie kodu źródłowego; architektura oprogramowania; konserwacja oprogramowania

EN

software; automated source code mapping; software architecture; software maintenance

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2023
• Tom: Vol. 35
• Strony: 749--758
• Opis fizyczny: Bibliogr. 22 poz., il., tab.

Twórcy

autor

Sinkala, Zipani Tom

• Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden,

autor

Herold, Sebastian

• Department of Mathematics and Computer Science, Karlstad University, Karlstad, Sweden,

Bibliografia

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• 15. J. Rosik et al, “Assessing Architectural Drift in Commercial Software Development: A Case Study,” in Software Practice and Experience, 41, 2011, pp. 63–86, https://doi.org/10.1002/spe.999
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• 17. Z.T. Sinkala, S. Herold, “InMap: Automated Interactive Code-to-Architecture Mapping,” Proceedings of the ACM Symposium on Applied Computing, 2021, pp. 1439–1442, https://doi.org/10.1145/3412841.3442124
• 18. Z.T. Sinkala, S. Herold, “InMap: Automated Interactive Code-to-Architecture Mapping Recommendations,” Proceedings – IEEE 18th International Conference on Software Architecture, 2021, pp. 173–183, https://doi.org/10.1109/ICSA51549.2021.00024
• 19. Z.T. Sinkala, S. Herold, “Towards Hierarchical Code-to-Architecture Mapping Using Information Retrieval,” Companion Proceedings – IEEE 15th European Conference on Software Architecture, 2021.
• 20. Z.T. Sinkala, S. Herold, “Hierarchical Code-to-Architecture Mapping,” in ECSA 2021 Tracks and Workshops – Revised Selected Papers, 2022, https://doi.org/10.1007/978-3-031-15116-3_5
• 21. Z.T. Sinkala, S. Herold, “An Integrated Approach to Package and Class Code-to-Architecture Mapping Using InMap,” Proceedings – IEEE 20th International Conference on Software Architecture, 2023, https://doi.org/10.1109/ICSA56044.2023.00023
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Uwagi

1. Thematic Tracks Regular Papers

2. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).

Identyfikatory

DOI

10.15439/2023F5070