ISSTA 2019
Mon 15 - Fri 19 July 2019 Beijing, China
Thu 18 Jul 2019 15:07 - 15:30 at Grand Ballroom - Testing and Machine Learning Chair(s): Hongyu Zhang

More and more companies use static analysis to perform regular code reviews to detect security vulnerabilities in their code, configuring them to detect various types of bugs and vulnerabilities such as the SANS top 25 or the OWASP top 10. For such analyses to be as precise as possible, they must be adapted to the code base they scan. The particular challenge we address in this paper is to provide analyses with the correct security-relevant methods (Srm): sources, sinks, etc. We present SWAN, a fully-automated machine-learning approach to detect sources, sinks, validators, and authentication methods for Java programs. SWAN further classifies the Srm into specific vulnerability classes of the SANS top 25. To further adapt the lists detected by SWAN to the code base and to improve its precision, we also introduce SWANAssist, an extension to SWAN that allows analysis users to refine the classifications. On twelve popular Java frameworks, SWAN achieves an average precision of 0.826, which is better or comparable to existing approaches. Our experiments show that SWANAssist requires a relatively low effort from the developer to significantly improve its precision.

Talk-Slides (20190718_SWAN.pdf)1.60MiB

Thu 18 Jul
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14:00 - 15:30: Technical Papers - Testing and Machine Learning at Grand Ballroom
Chair(s): Hongyu ZhangThe University of Newcastle
issta-2019-Technical-Papers14:00 - 14:22
Xiaofei XieNanyang Technological University, Lei MaKyushu University, Felix Juefei-XuCarnegie Mellon University, Minhui Xue, Hongxu ChenNanyang Technological University, Yang LiuNanyang Technological University, Singapore, Jianjun ZhaoKyushu University, Bo LiUIUC, Jianxiong YinNVIDIA AI Tech Centre, Simon SeeNVIDIA AI Tech Centre
issta-2019-Technical-Papers14:22 - 14:45
Maxime CordySnT, University of Luxembourg, Steve Mullerunaffiliated, Mike PapadakisUniversity of Luxembourg, Yves Le TraonUniversity of Luxembourg
issta-2019-Technical-Papers14:45 - 15:07
Xia LiUniversity of Texas at Dallas, USA, Wei LiSouthern University of Science and Technology, Yuqun ZhangSouthern University of Science and Technology, Lingming Zhang
issta-2019-Technical-Papers15:07 - 15:30
Goran PiskachevFraunhofer IEM, Lisa Nguyen Quang DoPaderborn University, Eric BoddenHeinz Nixdorf Institut, Paderborn University and Fraunhofer IEM
DOI Pre-print Media Attached File Attached