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» A Factor Graph Model for Software Bug Finding
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SCAM
2007
IEEE
14 years 1 months ago
SUDS: An Infrastructure for Creating Bug Detection Tools
SUDS is a powerful infrastructure for creating dynamic bug detection tools. It contains phases for both static analysis and dynamic instrumentation allowing users to create tools ...
Eric Larson
ICDM
2008
IEEE
122views Data Mining» more  ICDM 2008»
14 years 2 months ago
Nonnegative Matrix Factorization for Combinatorial Optimization: Spectral Clustering, Graph Matching, and Clique Finding
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
Chris H. Q. Ding, Tao Li, Michael I. Jordan
CADE
2010
Springer
13 years 8 months ago
Bugs, Moles and Skeletons: Symbolic Reasoning for Software Development
Abstract. Symbolic reasoning is in the core of many software development tools such as: bug-finders, test-case generators, and verifiers. Of renewed interest is the use of symbolic...
Leonardo Mendonça de Moura, Nikolaj Bj&osla...
ISSTA
2009
ACM
14 years 2 months ago
Identifying bug signatures using discriminative graph mining
Bug localization has attracted a lot of attention recently. Most existing methods focus on pinpointing a single statement or function call which is very likely to contain bugs. Al...
Hong Cheng, David Lo, Yang Zhou, Xiaoyin Wang, Xif...
SIGSOFT
2009
ACM
14 years 8 months ago
Fair and balanced?: bias in bug-fix datasets
Software engineering researchers have long been interested in where and why bugs occur in code, and in predicting where they might turn up next. Historical bug-occurence data has ...
Christian Bird, Adrian Bachmann, Eirik Aune, John ...