Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Modeling mutation on a vector processor
ICSE '88 Proceedings of the 10th international conference on Software engineering
Types, distribution, and test and correction times for programming errors
Proceedings of the international conference on Reliable software
TAV4 Proceedings of the symposium on Testing, analysis, and verification
Efficient mutation analysis: a new approach
ISSTA '94 Proceedings of the 1994 ACM SIGSOFT international symposium on Software testing and analysis
Progress toward automated software testing
ICSE '91 Proceedings of the 13th international conference on Software engineering
Software unit test coverage and adequacy
ACM Computing Surveys (CSUR)
Testing techniques in software engineering
Testing techniques in software engineering
Using conditional mutation to increase the efficiency of mutation analysis
Proceedings of the 6th International Workshop on Automation of Software Test
Hi-index | 0.00 |
Reliable software testing is a time consuming operation. In addition to the time spent by the tester in identifying, locating, and correcting bugs, a significant time is spent in the execution of the program under test and its instrumented or fault induced variants. When using mutation based testing to achieve high reliability, the number of such variants can be very large. In this paper we describe the architecture of a tool named PMothra that is designed to provide an architecture-transparent interface to a tester. In its current version, PMothra exploits the hypercube architecture by scheduling the execution of mutants on a 128-node Ncube/7 hypercube.