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» Learning from Our Mistakes with Defect Causal Analysis
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PROMISE
2010
12 years 11 months ago
Defect cost flow model: a Bayesian network for predicting defect correction effort
Background. Software defect prediction has been one of the central topics of software engineering. Predicted defect counts have been used mainly to assess software quality and est...
Thomas Schulz, Lukasz Radlinski, Thomas Gorges, Wo...
SDM
2012
SIAM
355views Data Mining» more  SDM 2012»
11 years 7 months ago
Granger Causality Analysis in Irregular Time Series
Learning temporal causal structures between time series is one of the key tools for analyzing time series data. In many real-world applications, we are confronted with Irregular T...
Mohammad Taha Bahadori, Yan Liu
ATVA
2006
Springer
99views Hardware» more  ATVA 2006»
13 years 8 months ago
Whodunit? Causal Analysis for Counterexamples
Although the counterexample returned by a model checker can help in reproducing the symptom related to a defect, a significant amount of effort is often required for the programmer...
Chao Wang, Zijiang Yang, Franjo Ivancic, Aarti Gup...
SEKE
2009
Springer
13 years 11 months ago
Detecting Defects with an Interactive Code Review Tool Based on Visualisation and Machine Learning
Code review is often suggested as a means of improving code quality. Since humans are poor at repetitive tasks, some form of tool support is valuable. To that end we developed a p...
Stefan Axelsson, Dejan Baca, Robert Feldt, Darius ...