On the value of static analysis for fault detection in software

By Jiang Zheng, Laurie A. Williams, N. Nagappan, W. Snipes, J. Hudepohl, Mladen A. Vouk. IEEE Transactions on Software Engineering, 2006

299 citations recorded by the source corpus.

Subfields: Information Systems, Software

View Paper: https://www.semanticscholar.org/paper/35aa34bd8cfdedc8fab63946cfc4d91aaa3ae01d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Riccardo Scandariato
2. Wouter Joosen
3. Hamid Reza Shahriari
4. Seyed Mohammad Ghaffarian

In Software

1. Hamid Reza Shahriari
2. Seyed Mohammad Ghaffarian

Citations in the corpus

• A Survey on Software Fault Localization (2016, unknown): “…the effectiveness of specific fault localization techniques have been reported [8], [10], [11], [12], [25], [31], [36], [49], [53], [91], [93], [94], [102], [124], [178], [185], [191], [207], [209], [253], [266], [267], [296], [299], [335], [366], [390], [391], [393], [420], [406], [410], [424].”
• Predicting Vulnerable Software Components via Text Mining (2014, background): “Finally, Zheng et al. [25] determined, based on three large-scale industrial systems, that static analysis is an effective technique at identifying assignment and checking faults that have the potential to cause security vulnerabilities.”