Müller, Patrick ; Narasimhan, Krishna ; Mezini, Mira (2021)
Fex: Assisted Identification of Domain Features from C Programs.
21st International Working Conference on Source Code Analysis and Manipulation. virtual Conference (27.-28.09.2021)
doi: 10.1109/SCAM52516.2021.00029
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Modern software typically performs more than one functionality. These functionalities or features are not always organized in a way for modules representing these features to be used individually. Many software engineering approaches like programming language constructs, or product line visualization techniques have been proposed to organize projects as modules. Unfortunately, much legacy software suffer from years or decades of improper coding practices that leave the modules in the code almost undetectable. In such scenarios, a desirable requirement is to identify modules representing different features to be extracted. In this paper, we propose a novel approach that combines information retrieval and program analysis approaches to allow domain experts to identify slices of the program that represent modules using natural language search terms. We evaluate our approach by building a proof of concept tool in C, and extract modules from open source projects.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2021 |
| Autor(en): | Müller, Patrick ; Narasimhan, Krishna ; Mezini, Mira |
| Art des Eintrags: | Bibliographie |
| Titel: | Fex: Assisted Identification of Domain Features from C Programs |
| Sprache: | Englisch |
| Publikationsjahr: | 24 November 2021 |
| Verlag: | IEEE |
| Buchtitel: | Proceedings: IEEE 21st International Working Conference on Source Code Analysis and Manipulation - SCAM 2021 |
| Veranstaltungstitel: | 21st International Working Conference on Source Code Analysis and Manipulation |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 27.-28.09.2021 |
| DOI: | 10.1109/SCAM52516.2021.00029 |
| Kurzbeschreibung (Abstract): | Modern software typically performs more than one functionality. These functionalities or features are not always organized in a way for modules representing these features to be used individually. Many software engineering approaches like programming language constructs, or product line visualization techniques have been proposed to organize projects as modules. Unfortunately, much legacy software suffer from years or decades of improper coding practices that leave the modules in the code almost undetectable. In such scenarios, a desirable requirement is to identify modules representing different features to be extracted. In this paper, we propose a novel approach that combines information retrieval and program analysis approaches to allow domain experts to identify slices of the program that represent modules using natural language search terms. We evaluate our approach by building a proof of concept tool in C, and extract modules from open source projects. |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Softwaretechnik DFG-Sonderforschungsbereiche (inkl. Transregio) DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche DFG-Sonderforschungsbereiche (inkl. Transregio) > Sonderforschungsbereiche > SFB 1119: CROSSING – Kryptographiebasierte Sicherheitslösungen als Grundlage für Vertrauen in heutigen und zukünftigen IT-Systemen |
| Hinterlegungsdatum: | 05 Mär 2024 15:38 |
| Letzte Änderung: | 05 Mär 2024 15:38 |
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