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ISSRE
2007
IEEE
15 years 6 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
ESE
2002
112views Database» more  ESE 2002»
15 years 4 months ago
An Empirical Method for Selecting Software Reliability Growth Models
Estimating remaining defects or failures in software can help test managers make release decisions during testing. Several methods exist to estimate defect content, among them a v...
Catherine Stringfellow, Anneliese Amschler Andrews
ISPASS
2009
IEEE
15 years 11 months ago
Accurately approximating superscalar processor performance from traces
Trace-driven simulation of superscalar processors is particularly complicated. The dynamic nature of superscalar processors combined with the static nature of traces can lead to l...
Kiyeon Lee, Shayne Evans, Sangyeun Cho
GECCO
2009
Springer
15 years 11 months ago
On the scalability of XCS(F)
Many successful applications have proven the potential of Learning Classifier Systems and the XCS classifier system in particular in datamining, reinforcement learning, and func...
Patrick O. Stalph, Martin V. Butz, David E. Goldbe...
IPPS
2006
IEEE
15 years 10 months ago
A performance model for fine-grain accesses in UPC
UPC’s implicit communication and fine-grain programming style make application performance modeling a challenging task. The correspondence between remote references and communi...
Zhang Zhang, S. R. Seidel