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SIGSOFT
2008
ACM
16 years 7 months ago
Predicting failures with developer networks and social network analysis
Software fails and fixing it is expensive. Research in failure prediction has been highly successful at modeling software failures. Few models, however, consider the key cause of ...
Andrew Meneely, Laurie Williams, Will Snipes, Jaso...
180
Voted
SIGSOFT
2007
ACM
16 years 7 months ago
Mining specifications of malicious behavior
Malware detectors require a specification of malicious behavior. Typically, these specifications are manually constructed by investigating known malware. We present an automatic t...
Mihai Christodorescu, Somesh Jha, Christopher Krue...
183
Voted
SIGSOFT
2007
ACM
16 years 7 months ago
Training on errors experiment to detect fault-prone software modules by spam filter
The fault-prone module detection in source code is of importance for assurance of software quality. Most of previous fault-prone detection approaches are based on software metrics...
Osamu Mizuno, Tohru Kikuno
SIGSOFT
2005
ACM
16 years 7 months ago
ASTEC: a new approach to refactoring C
The C language is among the most widely used in the world, particularly for critical infrastructure software. C programs depend upon macros processed using the C preprocessor, but...
Bill McCloskey, Eric A. Brewer
178
Voted
SIGSOFT
2004
ACM
16 years 7 months ago
PSE: explaining program failures via postmortem static analysis
In this paper, we describe PSE (Postmortem Symbolic Evaluation), a static analysis algorithm that can be used by programmers to diagnose software failures. The algorithm requires ...
Roman Manevich, Manu Sridharan, Stephen Adams, Man...