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» Breeding Software Test Cases with Genetic Algorithms
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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
14 years 29 days ago
Multi-level genetic algorithm (MLGA) for the construction of clock binary tree
The clock signal and clock skew become more and more important for the circuit performance. Since there are salient shortcomings in the conventional topology construction algorith...
Guofang Nan, Minqiang Li, Jisong Kou
ICSM
2006
IEEE
14 years 1 months ago
Using the Case-Based Ranking Methodology for Test Case Prioritization
The test case execution order affects the time at which the objectives of testing are met. If the objective is fault detection, an inappropriate execution order might reveal most ...
Paolo Tonella, Paolo Avesani, Angelo Susi
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 8 months ago
Coordinate change operators for genetic algorithms
This paper studies the issue of space coordinate change in genetic algorithms, based on two methods: convex quadratic approximations, and principal component analysis. In both met...
Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H...
COR
2008
164views more  COR 2008»
13 years 7 months ago
Observations in using parallel and sequential evolutionary algorithms for automatic software testing
In this paper we analyze the application of parallel and sequential evolutionary algorithms (EAs) to the automatic test data generation problem. The problem consists of automatica...
Enrique Alba, J. Francisco Chicano
TR
2010
158views Hardware» more  TR 2010»
13 years 2 months ago
Multi-Objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems
Software testing is an important issue in software engineering. As software systems become increasingly large and complex, the problem of how to optimally allocate the limited test...
Zai Wang, Ke Tang, Xin Yao