NDLI: Module Based Regression Test Selection Strategy for Web Applications

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Module Based Regression Test Selection Strategy for Web Applications

Content Provider	Semantic Scholar
Author	Chandran, Annamariale Chandran, Annamariale.
Copyright Year	2009
Abstract	For projects in the maintenance phase, updated specifications and test documents may not be maintained in a single repository. Even if they are maintained, synchronization with current changes may not be available and hence direct reference of these independent artifacts is difficult to select regression test suites. Invariably, dedicated test resource may not be allocated for a specific support project and hence the impacts on current changes with the previous specifications will not be available with the tester. Moreover, agile environment for maintenance projects adhere to deadline and hence it becomes hard to use formal Regression models. In this paper, the approach envisaged a strategy to validate the modified software by identifying inter-related modules to perform regression testing. The concept is derived from basics of statistical theory on regression analysis. This approach mainly focuses on reducing cycle time for test design and execution by ensuring potential requirement coverage thereby reducing rework in early stages of development. Though the approach targets regression strategy for web-based applications in Maintenance/enhancement phases, it is also recommended to use for applications in different domains by identifying its relevant primary dependent variables.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.csi-chennai.org/conseg09/pp6.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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