The York Research Database
- » Research
- » York Research Database
- » Publications
- » Using Mutation Analysis to Evolve Subdomains for Random Testing
Using Mutation Analysis to Evolve Subdomains for Random Testing
Research output: Contribution to conference › Paper
Full text download(s)
1 MB, PDF-document
Links
Published copy (DOI)
Author(s)
Department/unit(s)
Conference
| Conference | Mutation 2013: 8th International Workshop on Mutation Analysis |
|---|---|
| Country | United Kingdom |
| City | Luxembourg |
| Conference date(s) | 18/03/13 → … |
Publication details
| Date | Published - Mar 2013 |
|---|---|
| Number of pages | 10 |
| Original language | English |
Abstract
Random testing is inexpensive, but it can also be inefficient. We apply mutation analysis to evolve efficient subdomains for the input parameters of eight benchmark programs that are frequently used in testing research. The evolved subdomains can be used for program analysis and regression testing. Test suites generated from the optimised subdomains outperform those generated from random subdomains with 10, 100 and 1000 test cases for uniform, Gaussian and exponential sampling. Our subdomains kill a large proportion of mutants for most of the programs we tested with just 10 test cases.
Projects
The Birth, Life and Death of Semantic Mutants
Project: Research
Discover related content
Find related publications, people, projects, datasets and more using interactive charts.
Loading map data...