Interactive model mining from embedded legacy software.

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Titel: Interactive model mining from embedded legacy software.
Autoren: Said, Wasim
Quelle: ICSE: International Conference on Software Engineering; 5/27/2018, p484-487, 4p
Schlagwörter: DATA mining software, DATA extraction, SOFTWARE engineering, C (Computer program language), SOFTWARE architecture
Abstract: Model mining from software systems can be very helpful for program comprehension. The few existing approaches for extracting high level models from code - when applied to real-world systems written in C - deliver too detailed and complex models that cannot be understood by humans. In my Ph.D. project, I propose an approach that complements fully-automatic model mining approaches with user interaction to get understandable models. The evaluation of this approach includes a controlled experiment with a large number of experts, in order to assess the effectiveness of the interactively mined models for understanding complex legacy software. [ABSTRACT FROM AUTHOR]
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Beschreibung
Abstract:Model mining from software systems can be very helpful for program comprehension. The few existing approaches for extracting high level models from code - when applied to real-world systems written in C - deliver too detailed and complex models that cannot be understood by humans. In my Ph.D. project, I propose an approach that complements fully-automatic model mining approaches with user interaction to get understandable models. The evaluation of this approach includes a controlled experiment with a large number of experts, in order to assess the effectiveness of the interactively mined models for understanding complex legacy software. [ABSTRACT FROM AUTHOR]
DOI:10.1145/3183440.3183448