Compositional Static Callgraph Reachability Analysis for WhatsApp Android App Health
We report on an industrial use case of static callgraph reachability analysis to improve WhatsApp Android app health. We collaborated with engineers dedicated to app health to annotate/specify the source code. We leveraged the Infer static analyzer to prevent regressions during code changes and to periodically find pre-existing issues on the latest revision. Within three months, the analysis prevented almost a hundred regressions from being introduced and resulted in fixes for a handful of pre-existing issues, including examples with end-user measurable impact.
Authors
- R.C.T. Lee
- Ákos Hajdu (ORCID: https://orcid.org/0000-0001-8001-8865)
- Nilesh Agrawal
- Jérémy Dubreil
- Gavin Weng
Institutions
- Alpha Omega Alpha Medical Honor Society (US)
- Menlo School (US)
- Meta (United Kingdom) (GB)
Publication Details
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1145/3735544.3735583
- Primary Topic
- Advanced Malware Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00