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» Evolutionary testing of state-based programs
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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
CEC
2009
IEEE
14 years 2 months ago
Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems
— In this paper, the performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on a set of bound-constrained synthetic test problems is reported. The hybr...
Santosh Tiwari, Georges Fadel, Patrick Koch, Kalya...
KBSE
2010
IEEE
13 years 6 months ago
Automated program repair through the evolution of assembly code
A method is described for automatically repairing legacy software at the assembly code level using evolutionary computation. The technique is demonstrated on Java byte code and x8...
Eric Schulte, Stephanie Forrest, Westley Weimer
ITICSE
2003
ACM
14 years 22 days ago
Repositories for CS courses: an evolutionary tale
This paper describes a simple Unix-based repository that supports programming intensive courses. Initially motivated by the need to capture sample artifacts for the capstone cours...
Edward L. Jones, Clement S. Allen
ICST
2010
IEEE
13 years 6 months ago
Longer is Better: On the Role of Test Sequence Length in Software Testing
In the presence of an internal state, often it is required a sequence of function calls to test software. In fact, to cover a particular branch of the code, a sequence of previous...
Andrea Arcuri