@inproceedings{d5b2d82533d4460dab708bd4bb3e726d,
title = "Position paper: Bayesian reasoning for software testing",
abstract = "Despite significant advances in software testing research, the ability to produce reliable software products for a variety of critical applications remains an open problem. The key challenge has been the fact that each program or soft-ware product is unique, and existing methods are predominantly not capable of adapting to the observations made during program analysis. This paper makes the following claim: Bayesian reasoning methods provide an ideal research paradigm for achieving reliable and effcient software testing and program analysis. A brief overview of some popular Bayesian reasoning methods is provided, along with a justification of why they are applicable to software testing. Furthermore, some practical challenges to the widespread use of Bayesian methods are discussed, along with possible solutions to these challenges.",
keywords = "Bayesian data analysis, Probabilistic reasoning, Program analysis, Software testing, Stochastic methods",
author = "Namin, {Akbar Siami} and Mohan Sridharan",
year = "2010",
doi = "10.1145/1882362.1882433",
language = "English",
isbn = "9781450304276",
series = "Proceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010",
pages = "349--353",
booktitle = "Proceedings of the FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010",
note = "FSE/SDP Workshop on the Future of Software Engineering Research, FoSER 2010 ; Conference date: 07-11-2010 Through 11-11-2010",
}