VISUFLOW a debugging environment for static analyses
Code developers in industry frequently use static analysis tools to detect and fix software defects in their code. But what about defects in the static analyses themselves? While debugging application code is a difficult, time-consuming task, debugging a static analysis is even harder. We have surve...
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| Veröffentlicht in: | 2018 IEEE/ACM 40th International Conference on Software Engineering: Companion (ICSE-Companion) S. 89 - 92 |
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| Hauptverfasser: | , , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, NY, USA
ACM
27.05.2018
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| Schriftenreihe: | ACM Conferences |
| Schlagworte: | |
| ISBN: | 145035663X, 9781450356633 |
| ISSN: | 2574-1934 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Code developers in industry frequently use static analysis tools to detect and fix software defects in their code. But what about defects in the static analyses themselves? While debugging application code is a difficult, time-consuming task, debugging a static analysis is even harder. We have surveyed 115 static analysis writers to determine what makes static analysis difficult to debug, and to identify which debugging features would be desirable for static analysis. Based on this information, we have created Visijflow, a debugging environment for static data-flow analysis. Visuflow is built as an Eclipse plugin, and supports analyses written on top of the program analysis framework Soot. The different components in Visuflow provide analysis writers with visualizations of the internal computations of the analysis, and actionable debugging features to support debugging static analyses. A video demo of Visuflow is available online: https://www.youtube.com/watch?v=BkEfBDwiuH4 |
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| ISBN: | 145035663X 9781450356633 |
| ISSN: | 2574-1934 |
| DOI: | 10.1145/3183440.3183470 |

