Title :
Mutation Sensitivity Testing
Author :
Hook, Daniel ; Kelly, Diane
Author_Institution :
Engineering Seismology Group Solutions
Abstract :
Computational scientists often encounter code-testing challenges not typically faced by software engineers who develop testing techniques. Mutation sensitivity testing addresses these challenges, showing that a few well-designed tests can detect many code faults and that reducing error tolerances is often more effective than running additional tests.
Keywords :
Computer errors; Computer science; Fault detection; Genetic mutations; Nuclear measurements; Packaging; Physics; Scientific computing; Testing; Writing; Mutation Sensitivity Testing; code faults; oracle problem; scientific software; software testing; tolerance problem;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2009.200
