dc.rights.license | In Copyright | en_US |
dc.creator | Cobb, Camille Morgan | |
dc.date.accessioned | 2013-01-16T18:34:59Z | |
dc.date.available | 2013-01-16T18:34:59Z | |
dc.date.created | 2012 | |
dc.identifier | WLURG38_Cobb_CSCI_2012 | |
dc.identifier.uri | http://hdl.handle.net/11021/23751 | |
dc.description | Thesis; [FULL-TEXT FREELY AVAILABLE ONLINE] | en_US |
dc.description | Camille Morgan Cobb is a member of the Class of 2012 of Washington and Lee University. | en_US |
dc.description.abstract | Web applications must be reliable as the number and popularity of web applications increases. Web applications are difficult to test because of the large input space and frequent changes. Thus, their characteristics demand an effective way of automating the test case generation process. Web application test cases often depend on what happened to the shared, persistent application state in previous test cases -- I call this an inter-test-case dependency, or simply a dependency. Current test suite generation processes do not represent dependencies, and generated tests suites often violate dependencies, which negatively impacts the effectiveness of the test suite. This thesis explores the feasibility of computing dependencies from an application's resources. I propose a novel text-based approach to analyzing resources based on the insight that
resources contain embedded context since they were written by human developers. In a feasibility study of five deployed web applications, I correctly identify several dependencies and show the promise of a text-based approach. I propose a process for augmenting the test case generation process to produce test suites that better uphold estimated dependencies. I identify several avenues of future work, including suggestions for improvements to the text-based methodology for estimating dependencies to improve the accuracy of dependency estimates and implementation of the proposed augmented test case generation process. | en_US |
dc.description.statementofresponsibility | Camille Cobb | |
dc.format.extent | 46 pages | en_US |
dc.language.iso | en_US | en_US |
dc.rights | This material is made available for use in research, teaching, and private study, pursuant to U.S. Copyright law. The user assumes full responsibility for any use of the materials, including but not limited to, infringement of copyright and publication rights of reproduced materials. Any materials used should be fully credited with the source. | en_US |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en_US |
dc.subject.other | Washington and Lee University -- Honors in Computer Science | en_US |
dc.title | Exploring Text-Based Analysis of Test-Case Dependencies of Web Applications (thesis) | en_US |
dc.type | Text | en_US |
dcterms.isPartOf | RG38 - Student Papers | |
dc.rights.holder | Cobb, Camille Morgan | |
dc.subject.fast | Web applications | en_US |
dc.subject.fast | Application software -- Testing | en_US |
dc.subject.fast | Computer software -- Testing | en_US |
local.department | Computer Science | en_US |
local.scholarshiptype | Honors Thesis | en_US |