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» The data mining approach to automated software testing
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IJSEKE
2011
141views more  IJSEKE 2011»
14 years 1 months ago
Risk Assessment in Multi-disciplinary (Software+) Engineering Projects
Software systems in safety-critical industrial automation systems, such as power plants and steel mills, become increasingly large, complex, and distributed. For assessing risks, l...
Stefan Biffl, Thomas Moser, Dietmar Winkler
GECCO
2007
Springer
276views Optimization» more  GECCO 2007»
15 years 3 months ago
Automatic mutation test input data generation via ant colony
Fault-based testing is often advocated to overcome limitations of other testing approaches; however it is also recognized as being expensive. On the other hand, evolutionary algor...
Kamel Ayari, Salah Bouktif, Giuliano Antoniol
COMPSAC
2005
IEEE
15 years 3 months ago
Goal-Oriented Test Data Generation for Programs with Pointer Variables
Automatic test data generation leads to the identification of input values on which a selected path or a selected branch is executed within a program (path-oriented vs goalorient...
Arnaud Gotlieb, Tristan Denmat, Bernard Botella
ALT
2001
Springer
15 years 6 months ago
Inventing Discovery Tools: Combining Information Visualization with Data Mining
The growing use of information visualization tools and data mining algorithms stems from two separate lines of research. Information visualization researchers believe in the impor...
Ben Shneiderman
ICSE
2003
IEEE-ACM
15 years 3 months ago
Data Flow Testing as Model Checking
This paper presents a model checking-based approach to data flow testing. We characterize data flow oriented coverage criteria in temporal logic such that the problem of test ge...
Hyoung Seok Hong, Sung Deok Cha, Insup Lee, Oleg S...