This thesis introduces a method that combines automated test data generation techniques with high volume testing and resource monitoring. High volume testing repeats test cases many times, simulating extended execution intervals. These testing techniques have been found useful for uncovering errors resulting from component coordination problems, as well as system resource consumption (e.g. memory leaks) or corruption. Coupling automated test data generation with high volume testing and resource monitoring could make this approach more scalable and effective in the field.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0727106-132535 |
| Date | 27 July 2006 |
| Creators | Chen, Po-Kai |
| Contributors | Cheng-Fa Tsai, Bing-Chiang Jeng, Chia-Mei Chen, Chu-Sing Yang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0727106-132535 |
| Rights | off_campus_withheld, Copyright information available at source archive |
Page generated in 0.0015 seconds