Combining Static Analysis Techniques for Program Comprehension Using Slicito


연구 분야: Verification



학회: 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC)


초록

While program comprehension tools often use static program analysis techniques to obtain useful information, they usually work only with sufficiently scalable techniques with limited precision. A possible improvement of this approach is to let the developer interactively reduce the scope of the code being analyzed and then apply a more precise analysis technique to the reduced scope. This paper presents a new version of the tool Slicito that allows developers to perform this kind of exploration on C\# code in Visual Studio. A common usage of Slicito is to use interprocedural data-flow analysis to identify the parts of the code most relevant for the given task and then apply symbolic execution to reason about the precise behavior of these parts. Inspired by Moldable Development, Slicito provides a set of program analysis and visualization building blocks that can be used to create specialized program comprehension tools directly in Visual Studio. We demonstrate the full scope of features on a real industrial example both in the text and in the following video: https://www.slicito.com/icpc2025video.mp4


Author Profile
Robert Husák

Faculty of Mathematics and Physics Charles University Prague Czech Republic

Andorra
Author Profile
Jan Kofroň

Faculty of Mathematics and Physics Charles University Prague Czech Republic

Andorra
Author Profile
Filip Zavoral

Faculty of Mathematics and Physics Charles University Prague Czech Republic

Andorra

📄 논문 정보

발행 연도 2025년
인용수 16
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

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