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» Cost Curve Evaluation of Fault Prediction Models
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ICST
2009
IEEE
13 years 11 months ago
Predicting Attack-prone Components
GEGICK, MICHAEL CHARLES. Predicting Attack-prone Components with Source Code Static Analyzers. (Under the direction of Laurie Williams). No single vulnerability detection techniqu...
Michael Gegick, Pete Rotella, Laurie A. Williams
IWANN
2009
Springer
13 years 11 months ago
Optimising Machine-Learning-Based Fault Prediction in Foundry Production
Abstract. Microshrinkages are known as probably the most difficult defects to avoid in high-precision foundry. The presence of this failure renders the casting invalid, with the su...
Igor Santos, Javier Nieves, Yoseba K. Penya, Pablo...
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...
SOQUA
2007
13 years 6 months ago
Faults' context matters
When choosing a testing technique, practitioners want to know which one will detect the faults that matter most to them in the programs that they plan to test. Do empirical evalua...
Jaymie Strecker, Atif M. Memon
ICST
2009
IEEE
13 years 11 months ago
The Effectiveness of Automated Static Analysis Tools for Fault Detection and Refactoring Prediction
Many automated static analysis (ASA) tools have been developed in recent years for detecting software anomalies. The aim of these tools is to help developers to eliminate software...
Fadi Wedyan, Dalal Alrmuny, James M. Bieman