Applying risk based testing methodology in mastercard regression testing activity for mastercard project

Abstract

The purpose of this project is to implement Risk Based Testing Methodology in MasterCard Regression Suite. This project is to address concern by MasterCard counterpart due constant increase in regression fixed cost. The ever growing regression test suite requires more people to work on the testing which lead to the increasing of the fixed cost. To overcome this problem we decided to implement Risk Based Testing Methodology as one method to define priority test cases from the existing regression suite. The Risk Based Testing approach can be used to categorize the test cases based on its criticality and priority which can be defined using Risk Exposure Factor. Risk Based testing analysis will be performed on MasterCard Regression Testing to identify the critical and complex scenarios then prioritize those scenarios with the appropriate weightages. The criticality and prioritization criteria would consider criteria’s like Frequency of Groups Failure based on the defects history, Business criticality and Functionality/Services introduced on the specific release. Identification and Review of Functional Specifications of Business as Usual (BAU) before the release started. An initial estimation on the time and effort will be made through number of scripts from each BAUs. Once weightages assigned by each analyst, a final ranking will be done through a simple multiplication of all weight-ages against a particular requirement. The Risk Exposure Factor is computed by multiplying Impact, Probability and Dependency factors considering the mentioned criteria weight-ages. Test cases with high Risk Exposure Factor will be called as targeted test cases. The implementation of Risk Based Testing in MasterCard Regression suite is proven to effectively find defects and reduced time consumption in execution. 100% of the defects found during 15Q3 release execution through targeted test cases with 25% effort saving which lead to 25% reduced in cost. In addition Risk Based Regression suite is used whenever there is a time constraint in execution and as a smoke or sanity testing from a system.