| dc.contributor.author | Alemerien, Khalid Ali | |
| dc.description.abstract | Code coverage is one of the most important aspects of software testing, which helps software engineers to understand which portion of code has been executed using test suite throughout the software testing process. Automatic testing tools are widely used to provide testing coverage metrics in order to gauge the quality of software, but these tools may suffer from some shortcomings such as the difference among the values of code coverage metric of a given program using different code coverage tools. Therefore, we designed and performed a controlled experiment to investigate whether these tools have a significant difference among the measured values of coverage metric or not. We collected the coverage data that consist of branch, line, statement, and method coverage metrics. Statistically, our findings show that there is a significant difference of code coverage results among the code coverage tools in terms of branch and method coverage metrics. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU Policy 190.6.2 | |
| dc.title | Evaluation of Software Testing Coverage Tools: An Empirical Study | en_US |
| dc.type | Master's paper | en_US |
| dc.date.accessioned | 2013-07-17T18:25:25Z | |
| dc.date.available | 2013-07-17T18:25:25Z | |
| dc.date.issued | 2013 | |
| dc.identifier.uri | http://hdl.handle.net/10365/23045 | |
| dc.subject.lcsh | Computer software -- Development. | en_US |
| dc.subject.lcsh | Computer software -- Evaluation. | en_US |
| dc.subject.lcsh | Computer software -- Testing. | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Software Engineering | en_US |
| ndsu.advisor | Magel, Kenneth | |
