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Context-sensitive program analysis as database queries
Abstract
Program analysis has been increasingly used in software engineering tasks such as auditing programs for security vulnerabilities and finding errors in general. Such tools often require analyses much more sophisticated than those traditionally used in compiler optimizations. In particular, context-sensitive pointer alias information is a prerequisite for any sound and precise analysis that reasons about uses of heap objects in a program. Context-sensitive analysis is challenging because there are over 1014 contexts in a typical large program, even after recursive cycles are collapsed. Moreover, pointers cannot be resolved in general without analyzing the entire program.
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Cited by
The essence of command injection attacks in web applications
Su, Z., & Wassermann, G. (2006) · Conference record of the 33rd ACM SIGPLAN-SIGACT symposium on Principles of programming languages · doi:10.1145/1111037.1111070 · Cited by 515
Metadata
- Authors
- Lam, M. S., Whaley, J., Livshits, V. B., Martin, M. C., Avots, D., Carbin, M., & Unkel, C.
- Venue
- Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
- Publisher
- ACM
- Published
- 2005-06-13
- Pages
- 1-12
- OpenAlex
- W2158047578
- Cited by
- 172
- References
- 0
- FWCI
- 10.97
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Context-sensitive program analysis as database queries. https://app.cochat.ai/papers/10.1145/1065167.1065169
- The paper
- Lam, M. S., Whaley, J., Livshits, V. B., Martin, M. C., Avots, D., Carbin, M., & Unkel, C. (2005). Context-sensitive program analysis as database queries. Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems. https://doi.org/10.1145/1065167.1065169
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
