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ISSRE
2007
IEEE
13 years 10 months ago
Using Machine Learning to Support Debugging with Tarantula
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
Lionel C. Briand, Yvan Labiche, Xuetao Liu
SP
2010
IEEE
220views Security Privacy» more  SP 2010»
14 years 1 months ago
TaintScope: A Checksum-Aware Directed Fuzzing Tool for Automatic Software Vulnerability Detection
—Fuzz testing has proven successful in finding security vulnerabilities in large programs. However, traditional fuzz testing tools have a well-known common drawback: they are in...
Tielei Wang, Tao Wei, Guofei Gu, Wei Zou
DAC
2004
ACM
14 years 10 months ago
Automated energy/performance macromodeling of embedded software
Efficient energy and performance estimation of embedded software is a critical part of any system-level design flow. Macromodeling based estimation is an attempt to speed up estim...
Anish Muttreja, Anand Raghunathan, Srivaths Ravi, ...
SIGSOFT
2010
ACM
13 years 7 months ago
Community-based, collaborative testing and analysis
This article proposes a research agenda aimed at enabling optimized testing and analysis processes and tools to support component-based software development communities. We hypoth...
Atif M. Memon, Adam A. Porter, Alan Sussman
EMSOFT
2004
Springer
14 years 2 months ago
An approach for integrating basic retiming and software pipelining
Basic retiming is an algorithm originally developed for hardware optimization. Software pipelining is a technique proposed to increase instruction-level parallelism for parallel p...
Noureddine Chabini, Wayne Wolf