This paper discusses the use of genetic algorithms (GAs) for automatic software test data generation. This research extends previous work on dynamic test data generation where the problem of test data generation is reduced to one of minimizing a function Miller and Spooner, 1976, Korel, 1990]. In our work, the function is minimized by using one of two genetic algorithms in place of the local mi...

Software Testing is a approach where different errors and bugs in the software are identified. To test a software we need the test data. In this thesis, we have developed the approach to generate test data automatically from some initial random test data using Evolutionary Algorithms (EA) and test the software to detect the presence of errors, if any. We have taken two measures, they are path c...

he began working on the database application testing project leading to his thesis, under the supervision of Phyllis Frankl. His research interests are in the areas of software testing, database systems, and computer security. v ACKNOWLEDGMENTS My sincerest gratitude to my advisor, Professor Phyllis Frankl, who gave me the opportunity to pursue my academic goals and whose extraordinary support ...