Sciweavers

95 search results - page 11 / 19
» Using evolutionary algorithms for the unit testing of object...
Sort
View
EVOW
2010
Springer
14 years 2 months ago
Parameter Tuning of Evolutionary Algorithms: Generalist vs. Specialist
Abstract. Finding appropriate parameter values for Evolutionary Algorithms (EAs) is one of the persistent challenges of Evolutionary Computing. In recent publications we showed how...
Selmar K. Smit, A. E. Eiben
SIGSOFT
2007
ACM
14 years 8 months ago
Differential testing: a new approach to change detection
Regression testing, as it's commonly practiced, is unsound due to inconsistent test repair and test addition. This paper presents a new technique, differential testing, that ...
Robert B. Evans, Alberto Savoia
CEC
2010
IEEE
13 years 5 months ago
Beating the 'world champion' evolutionary algorithm via REVAC tuning
Abstract-- We present a case study demonstrating that using the REVAC parameter tuning method we can greatly improve the `world champion' EA (the winner of the CEC2005 competi...
Selmar K. Smit, A. E. Eiben
TSE
2010
197views more  TSE 2010»
13 years 2 months ago
A Genetic Algorithm-Based Stress Test Requirements Generator Tool and Its Empirical Evaluation
Genetic algorithms (GAs) have been applied previously to UML-driven, stress test requirements generation with the aim of increasing chances of discovering faults relating to networ...
Vahid Garousi
OOPSLA
2007
Springer
14 years 1 months ago
Randoop: feedback-directed random testing for Java
RANDOOP FOR JAVA generates unit tests for Java code using feedback-directed random test generation. Below we describe RANDOOP’s input, output, and test generation algorithm. We ...
Carlos Pacheco, Michael D. Ernst