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» Testing random number generators
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ICSE
2010
IEEE-ACM
14 years 2 months ago
Is operator-based mutant selection superior to random mutant selection?
Due to the expensiveness of compiling and executing a large number of mutants, it is usually necessary to select a subset of mutants to substitute the whole set of generated mutan...
Lu Zhang, Shan-Shan Hou, Jun-Jue Hu, Tao Xie, Hong...
ITC
1996
IEEE
98views Hardware» more  ITC 1996»
14 years 2 months ago
Mixed-Mode BIST Using Embedded Processors
Abstract. In complex systems, embedded processors may be used to run software routines for test pattern generation and response evaluation. For system components which are not comp...
Sybille Hellebrand, Hans-Joachim Wunderlich, Andre...
ICCS
2005
Springer
14 years 3 months ago
Numerically Stable Real Number Codes Based on Random Matrices
Abstract — Error correction codes defined over realnumber and complex-number fields have been studied and recognized as useful in many applications. However, most real-number a...
Zizhong Chen, Jack Dongarra
KBSE
1997
IEEE
14 years 2 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,...
KBSE
2007
IEEE
14 years 4 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