A Novel Test Case Generation Method through Metamorphic Priority for 2-Way Testing Method UMBCA Implementation Criteria

Increased size & complexity of software needs better approaches for different functionalities in the software development life cycle. Quality assurance of software is mainly done by ways of testing, an activity that faces constraints of both time & resources. So combinatorial testing is a well known dynamic approach for quality improvements because it provides effective error detection at very low cost. Generating an optimal set of test will effectively test the software system by pairing the input parameters through pairwise testing using orthogonal arrays. Hence an efficient strategy is require to reduce the number of test cases formed by above mentioned method.

In this paper we propose a new approach based on UML modelling which apply the test prioritization activity. For this we use metamorphism operators & apply it on our unified modelling based combinatorial architecture (UMBCA). Primary result obtained on a test data indicates that the techniques are effective & easy. The paper makes frequent reference to PICT, an existing & publicly available tool built on top of a flexible combinatorial test case generation engine.