Author:
Bisht Prithvi,Sistla A. Prasad,Venkatakrishnan V. N.
Cited by
6 articles.
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1. SAND: a static analysis approach for detecting SQL antipatterns;Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis;2021-07-11
2. SQLIFIX: Learning Based Approach to Fix SQL Injection Vulnerabilities in Source Code;2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2021-03
3. Quantifying the Performance Impact of SQL Antipatterns on Mobile Applications;2019 IEEE International Conference on Software Maintenance and Evolution (ICSME);2019-09
4. Patching Logic Vulnerabilities for Web Applications using LogicPatcher;Proceedings of the Sixth ACM Conference on Data and Application Security and Privacy;2016-03-09
5. MACE;Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security;2014-11-03