Testing Calculation Engines Using Input Space Partitioning and Automation
Date
2008-08-15T15:30:04Z
Authors
Alluri, Chandra M.
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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.
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Keywords
Calculation engines, Input space partitioning [ISP], Category Partition Method [CPM], Base choice [Bc], Coverage criteria, Test Automation