Regression testing becomes a tedious task while validating the Functional and Non-Functional aspects of a software system at maintenance. It is frequently performed activity on a legacy system for every set of change requests at a moment. Hence, it costs a lot for software maintenance in terms of effort and computing resources. The existing approaches like model driven migration, mutual collaboration, test case-optimization, prioritization, code based test generation, ontological classifications and use case driven approaches are not adequate to handle the above mentioned problem in a cost-effective way. This paper presenting a holistic approach to handle the difficulties during software maintenance and for deriving regression suite from the behavioral models preceded by the Grounded Theory (GT).The grounded theory is used for classifying the change requests to the existing system. And it is used for separating of Functional Requirements (FR’s) and Non-Functional Requirements (NFR’s) of change request to the existing system. This approach will validate the functional and non-functional aspects of the system, it leads to low maintenance cost, early detection of requirements errors and maximizes the test coverage.

Grounded Theory, Regression Testing, Software Maintenance, Test Case, Test Suite

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