Testing Calculation Engines Using Input Space Partitioning and Automation

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dc.contributor.authorAlluri, Chandra M.
dc.creatorAlluri, Chandra M.
dc.date2008-07-29
dc.date.accessioned2008-08-15T15:30:04Z
dc.date.availableNO_RESTRICTION
dc.date.available2008-08-15T15:30:04Z
dc.date.issued2008-08-15T15:30:04Z
dc.description.abstractThis 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.identifier.urihttps://hdl.handle.net/1920/3228
dc.language.isoen_US
dc.subjectCalculation engines
dc.subjectInput space partitioning [ISP]
dc.subjectCategory Partition Method [CPM]
dc.subjectBase choice [Bc]
dc.subjectCoverage criteria
dc.subjectTest Automation
dc.titleTesting Calculation Engines Using Input Space Partitioning and Automation
dc.typeThesis
thesis.degree.disciplineSoftware Engineering
thesis.degree.grantorGeorge Mason University
thesis.degree.levelMaster's
thesis.degree.nameMaster of Science in Software Engineering

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