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Regression testing has gained importance due to increase in frequency of change requests made for software during maintenance phase. The retesting criteria of regression testing leads to increasing cost and time. Prioritization is an important procedure during regression testing which makes the debugging easier. This paper discusses a novel approach for test case prioritization using Association Rule Mining (ARM). In this paper, the system under test is modelled using UML Activity Diagram (AD) which is further converted into an Activity Graph (AG). A historical data store is maintained to keep details about the system which revealing more number of faults. Whenever a change is made in the system, the frequent patterns of highly affected nodes are found out. These frequent patterns reveal the probable affected nodes i.e. used to prioritize the test cases. This approach effectively prioritizes the test cases with a higher Average Percentage of Fault Detection (APFD) value.

With the exponential growth in size and complexity of softwares, the testing activity is no more limited to testing phase of SDLC (Software Development Life Cycle). Testing process has been made iterative and incremental in Object Oriented development scenario. This leads to increase in effort and time required for testing as well as explosion in test case. But when it comes to regression testing, it has the additional issue of test case retesting which further increasing the effort and time. So a suitable prioritization technique should be used to address these issues. In this paper we had given a proposal which is based on prioritization of test cases using GA (Genetic Algorithm). This process is found to be very effective during regression testing. In this paper we found an optimized independent path having maximum critical path value, which further leads to prioritization of test cases. The three component of regression testing i.e effort, time, cost will be gradually reduce by using this approach.

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