A Factor Graph Model for Software Bug Finding
Abstract
Automatic tools for finding software errors require knowledge of the rules a program must obey, or "specifications," before they can identify bugs. We present a method that combines factor graphs and static program analysis to automatically infer specifications directly from programs. We illustrate the approach on inferring functions in C programs that allocate and release resources, and evaluate the approach on three codebases: SDL, OpenSSH, and the OS kernel for Mac OS X (XNU). The inferred specifications are highly accurate and with them we have discovered numerous bugs. URL: http://metacomp.stanford.edu/~kremenek/papers/ijcai2007-afg.pdf
Cite
Text
Kremenek et al. "A Factor Graph Model for Software Bug Finding." International Joint Conference on Artificial Intelligence, 2007.Markdown
[Kremenek et al. "A Factor Graph Model for Software Bug Finding." International Joint Conference on Artificial Intelligence, 2007.](https://mlanthology.org/ijcai/2007/kremenek2007ijcai-factor/)BibTeX
@inproceedings{kremenek2007ijcai-factor,
title = {{A Factor Graph Model for Software Bug Finding}},
author = {Kremenek, Ted and Ng, Andrew Y. and Engler, Dawson R.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2007},
pages = {2510-2516},
url = {https://mlanthology.org/ijcai/2007/kremenek2007ijcai-factor/}
}