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KBSE
2007
IEEE
14 years 5 months ago
Nighthawk: a two-level genetic-random unit test data generator
Randomized testing has been shown to be an effective method for testing software units. However, the thoroughness of randomized unit testing varies widely according to the settin...
James H. Andrews, Felix Chun Hang Li, Tim Menzies
CEC
2007
IEEE
14 years 5 months ago
A Memetic Algorithm for test data generation of Object-Oriented software
— Generating test data for Object-Oriented (OO) software is a hard task. Little work has been done on the subject, and a lot of open problems still need to be investigated. In th...
Andrea Arcuri, Xin Yao
ISSRE
2007
IEEE
14 years 8 days ago
Generating Trace-Sets for Model-based Testing
Model-checkers are powerful tools that can find individual traces through models to satisfy desired properties. These traces provide solutions to a number of problems. Instead of...
Birgitta Lindström, Paul Pettersson, Jeff Off...
CAV
2010
Springer
179views Hardware» more  CAV 2010»
14 years 2 months ago
Generating Litmus Tests for Contrasting Memory Consistency Models
Well-defined memory consistency models are necessary for writing correct parallel software. Developing and understanding formal specifications of hardware memory models is a chal...
Sela Mador-Haim, Rajeev Alur, Milo M. K. Martin
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
14 years 4 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler