A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
An industrial study of applying input space partitioning to test financial calculation engines
2012
Empirical Software Engineering
This paper presents results from an industrial study that applied input space partitioning and semi-automated requirements modeling to large-scale industrial software, specifically financial calculation engines. Calculation engines are used in financial service applications such as banking, mortgage, insurance, and trading to compute complex, multi-conditional formulas to make high risk financial decisions. They form the heart of financial applications, and can cause severe economic harm if
doi:10.1007/s10664-012-9229-5
fatcat:ndotabwlonavnpxrwdtvqcq3gm