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» On the value of learning from defect dense components for so...
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MSR
2006
ACM
13 years 11 months ago
Predicting defect densities in source code files with decision tree learners
With the advent of open source software repositories the data available for defect prediction in source files increased tremendously. Although traditional statistics turned out t...
Patrick Knab, Martin Pinzger, Abraham Bernstein
ENGL
2007
100views more  ENGL 2007»
13 years 4 months ago
Utilizing Computational Intelligence to Assist in Software Release Decision
—Defect tracking using computational intelligence methods is used to predict software readiness in this study. By comparing predicted number of faults and number of faults discov...
Tong-Seng Quah, Mie Mie Thet Thwin
ICST
2010
IEEE
13 years 3 months ago
Searching for a Needle in a Haystack: Predicting Security Vulnerabilities for Windows Vista
—Many factors are believed to increase the vulnerability of software system; for example, the more widely deployed or popular is a software system the more likely it is to be att...
Thomas Zimmermann, Nachiappan Nagappan, Laurie A. ...
GPCE
2008
Springer
13 years 6 months ago
Property models: from incidental algorithms to reusable components
A user interface, such as a dialog, assists a user in synthesising a set of values, typically parameters for a command object. Code for “command parameter synthesis” is usuall...
Jaakko Järvi, Mat Marcus, Sean Parent, John F...
TSE
2010
140views more  TSE 2010»
13 years 3 months ago
Learning a Metric for Code Readability
—In this paper, we explore the concept of code readability and investigate its relation to software quality. With data collected from 120 human annotators, we derive associations...
Raymond P. L. Buse, Westley Weimer