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» Embedded core testing using genetic algorithms
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TSE
2011
144views more  TSE 2011»
14 years 6 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
ISSS
2000
IEEE
191views Hardware» more  ISSS 2000»
15 years 3 months ago
Conditional Scheduling for Embedded Systems using Genetic List Scheduling
One important part of a HW/SW codesign system is the scheduler which is needed in order to determine if a given HW/SW partitioning is suitable for a given application. In this pap...
Martin Grajcar
MTDT
2003
IEEE
105views Hardware» more  MTDT 2003»
15 years 4 months ago
A Testability-Driven Optimizer and Wrapper Generator for Embedded Memories
Memory cores (especially SRAM cores) used on a system chip usually come from a memory compiler. Commercial memory compilers have their limitation— a large memory may need to be ...
Rei-Fu Huang, Li-Ming Denq, Cheng-Wen Wu, Jin-Fu L...
KBSE
1997
IEEE
15 years 3 months ago
Genetic Algorithms for Dynamic Test Data Generation
In software testing, it is often desirable to find test inputs that exercise specific program features. To find these inputs by hand is extremely time-consuming, especially whe...
Christoph C. Michael, Gary McGraw, Michael Schatz,...
IPM
2002
68views more  IPM 2002»
14 years 11 months ago
A test of genetic algorithms in relevance feedback
10 There have been recent applications of genetic algorithms to information retrieval, mostly with respect to 11 relevance feedback. Nevertheless, they are yet to be evaluated in ...
Cristina López-Pujalte, Vicente P. Guerrero...