Geometric encoding: forging the high performance context sensitive points-to analysis for Java

Xiao Xiao, Charles Zhang. Geometric encoding: forging the high performance context sensitive points-to analysis for Java. In Matthew B. Dwyer, Frank Tip, editors, Proceedings of the 20th International Symposium on Software Testing and Analysis, ISSTA 2011, Toronto, ON, Canada, July 17-21, 2011. pages 188-198, ACM, 2011. [doi]

@inproceedings{XiaoZ11,
  title = {Geometric encoding: forging the high performance context sensitive points-to analysis for Java},
  author = {Xiao Xiao and Charles Zhang},
  year = {2011},
  doi = {10.1145/2001420.2001443},
  url = {http://doi.acm.org/10.1145/2001420.2001443},
  tags = {rule-based, Java, redundancy, meta-model, modeling, points-to analysis, analysis, constraints, source-to-source, context-aware, Meta-Environment, process modeling, open-source},
  researchr = {https://researchr.org/publication/XiaoZ11},
  cites = {0},
  citedby = {0},
  pages = {188-198},
  booktitle = {Proceedings of the 20th International Symposium on Software Testing and Analysis, ISSTA 2011, Toronto, ON, Canada, July 17-21, 2011},
  editor = {Matthew B. Dwyer and Frank Tip},
  publisher = {ACM},
  isbn = {978-1-4503-0562-4},
}