Demand-driven context-sensitive alias analysis for Java

@inproceedings{Yan2011DemanddrivenCA,
  title={Demand-driven context-sensitive alias analysis for Java},
  author={Dacong Yan and Guoqing Xu and Atanas Rountev},
  booktitle={ISSTA},
  year={2011}
}
Software tools for program understanding, transformation, verification, and testing often require an efficient yet highly-precise alias analysis. Typically this is done by computing points-to information, from which alias queries can be answered. This paper presents a novel context-sensitive, demand-driven alias analysis for Java that achieves efficiency by answering alias queries directly, instead of relying on an underlying points-to analysis. The analysis is formulated as a context-free… CONTINUE READING
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