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» Indices for Testing Neural Codes
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192
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MSR
2006
ACM
15 years 9 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
133
Voted
IEEEPACT
2006
IEEE
15 years 9 months ago
An empirical evaluation of chains of recurrences for array dependence testing
Code restructuring compilers rely heavily on program analysis techniques to automatically detect data dependences between program statements. Dependences between statement instanc...
Johnnie Birch, Robert A. van Engelen, Kyle A. Gall...
140
Voted
ISSRE
2003
IEEE
15 years 8 months ago
Reducing wasted development time via continuous testing
Testing is often performed frequently during development to ensure software reliability by catching regression errors quickly. However, stopping frequently to test also wastes tim...
David Saff, Michael D. Ernst
ICSE
2007
IEEE-ACM
16 years 3 months ago
Feedback-Directed Random Test Generation
We present a technique that improves random test generation by incorporating feedback obtained from executing test inputs as they are created. Our technique builds inputs incremen...
Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ern...
120
Voted
ESEC
1997
Springer
15 years 7 months ago
Cryptographic Verification of Test Coverage Claims
The market for software components is growing, driven on the "demand side" by the need for rapid deployment of highly functional products, and on the "supply side&q...
Premkumar T. Devanbu, Stuart G. Stubblebine