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Testing Calculation Engines Using Input Space Partitioning and Automation

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dc.contributor.author Alluri, Chandra M.
dc.creator Alluri, Chandra M.
dc.date 2008-07-29
dc.date.accessioned 2008-08-15T15:30:04Z
dc.date.available NO_RESTRICTION en
dc.date.available 2008-08-15T15:30:04Z
dc.date.issued 2008-08-15T15:30:04Z
dc.identifier.uri https://hdl.handle.net/1920/3228
dc.description.abstract This thesis proposes a solution to test calculation engines in financial services applications such as banking, mortgage, insurance, and trading. Calculation engines form the heart of financial applications, as the results are very sensitive to the business and can cause severe damage if wrong. But controllability and observability of these calculations are low. In order to test these calculations, more robust and sophisticated methods are required. In this thesis, input space partitioning, along with automation, were applied with the help of tools. Case studies were conducted to validate the effectiveness of this approach. Finally, a framework is recommended to test the calculation engines.
dc.language.iso en_US en
dc.subject calculation engines en_US
dc.subject Input space partitioning [ISP] en_US
dc.subject Category Partition Method [CPM] en_US
dc.subject Base choice [Bc] en_US
dc.subject coverage criteria en_US
dc.subject Test Automation en_US
dc.title Testing Calculation Engines Using Input Space Partitioning and Automation en
dc.type Thesis en
thesis.degree.name Master of Science in Software Engineering en
thesis.degree.level Master's en
thesis.degree.discipline Software Engineering en
thesis.degree.grantor George Mason University en


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