Coding Practices and Recommendations of Spring Security for Enterprise Applications
Mazharul Islam, Sazzadur Rahaman, Na Meng, Behnaz Hassanshahi, Padmanabhan Krishnan, Danfeng Yao, SecDev 2020
Gelato: Feedback-driven and Guided Security Analysis of Client-side Applications
Behnaz Hassanshahi, Hyunjun Lee, Padmanabhan Krishnan, Joern Guy Suess, arXiv.org
Trade-offs in managing risk and technical debt in industrial research labs - an experience report.
François Gauthier, Alexander Jordan, Padmanabhan Krishnan, Behnaz Hassanshahi, Jörn Guy Süß, Sora Bae, Hyunjun Lee, TechDebt@ICSE
Women in CS panel
Behnaz Hassanshahi, Cristina Cifuentes, ICFP 2020
Nodest - feedback-driven static analysis of Node.js applications.
Benjamin Barslev Nielsen, Behnaz Hassanshahi, François Gauthier, ESEC/SIGSOFT FSE
AFFOGATO - runtime detection of injection attacks for Node.js.
François Gauthier, Behnaz Hassanshahi, Alexander Jordan, ISSTA/ECOOP Workshops
Alexander Jordan, François Gauthier, Behnaz Hassanshahi, David Zhao, CoRR
An efficient tunable selective points-to analysis for large codebases.
Behnaz Hassanshahi, Raghavendra Kagalavadi Ramesh, Padmanabhan Krishnan, Bernhard Scholz, Yi Lu 0003, SOAP@PLDI
SOAP 2017 Presentation - An Efficient Tunable Selective Points-to Analysis for Large Codebases
Behnaz Hassanshahi, Raghavendra Kagalavadi Ramesh, Padmanabhan Krishnan, Bernhard Scholz, Yi Lu, State of the Art in Program Analysis (SOAP) workshop, Barcelona, Spain, 18th June 2017. Colocated with PLDI and ECOOP conferences.