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» Automated Support for Classifying Software Failure Reports
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CONTEXT
2001
Springer
14 years 10 days ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
OOPSLA
2010
Springer
13 years 6 months ago
Scalable and systematic detection of buggy inconsistencies in source code
Software developers often duplicate source code to replicate functionality. This practice can hinder the maintenance of a software project: bugs may arise when two identical code ...
Mark Gabel, Junfeng Yang, Yuan Yu, Moisés G...
JSS
2010
107views more  JSS 2010»
13 years 6 months ago
An empirical investigation into branch coverage for C programs using CUTE and AUSTIN
Automated test data generation has remained a topic of considerable interest for several decades because it lies at the heart of attempts to automate the process of Software Testi...
Kiran Lakhotia, Phil McMinn, Mark Harman
GECCO
2008
Springer
172views Optimization» more  GECCO 2008»
13 years 9 months ago
Empirical analysis of a genetic algorithm-based stress test technique
Evolutionary testing denotes the use of evolutionary algorithms, e.g., Genetic Algorithms (GAs), to support various test automation tasks. Since evolutionary algorithms are heuris...
Vahid Garousi
BMCBI
2007
127views more  BMCBI 2007»
13 years 7 months ago
CORRIE: enzyme sequence annotation with confidence estimates
Using a previously developed automated method for enzyme annotation, we report the reannotation of the ENZYME database and the analysis of local error rates per class. In control ...
Benjamin Audit, Emmanuel D. Levy, Walter R. Gilks,...