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GECCO
2007
Springer
234views Optimization» more  GECCO 2007»
14 years 5 months ago
Applying particle swarm optimization to software testing
Evolutionary structural testing is an approach to automatically generating test cases that achieve high structural code coverage. It typically uses genetic algorithms (GAs) to sea...
Andreas Windisch, Stefan Wappler, Joachim Wegener
FPGA
2000
ACM
114views FPGA» more  FPGA 2000»
14 years 2 months ago
Generating highly-routable sparse crossbars for PLDs
A method for evaluating and constructing sparse crossbars which are both area efficient and highly routable is presented. The evaluation method uses a network flow algorithm to ac...
Guy G. Lemieux, Paul Leventis, David M. Lewis
ICFEM
2009
Springer
14 years 5 months ago
Implementing and Applying the Stocks-Carrington Framework for Model-Based Testing
In this paper we describe the functional features and the architecture of a tool implementing the Stocks-Carrington framework (TTF) for model based testing (MBT). The resulting pro...
Maximiliano Cristiá, Pablo Rodríguez...
GECCO
2010
Springer
196views Optimization» more  GECCO 2010»
14 years 3 months ago
Using synthetic test suites to empirically compare search-based and greedy prioritizers
The increase in the complexity of modern software has led to the commensurate growth in the size and execution time of the test suites for these programs. In order to address this...
Zachary D. Williams, Gregory M. Kapfhammer
VLDB
2007
ACM
128views Database» more  VLDB 2007»
14 years 4 months ago
A genetic approach for random testing of database systems
Testing a database engine has been and continues to be a challenging task. The space of possible SQL queries along with their possible access paths is practically unbounded. Moreo...
Hardik Bati, Leo Giakoumakis, Steve Herbert, Aleks...