Automated Test Case Generation Based on Event-Oriented and Aspect-Oriented Programming Sequence with Error Detection Technique
Annasaro Vijendran1, N.R.Suganya2
1Dr.Annasaro Vijendran, Director, Dept of Computer Applications, SNR Sons College, Nava, India.
2N.R.Suganya, Research Scholar, Karpagam University, Eachanari, Coimbatore, India.
Manuscript received on July 16, 2013. | Revised Manuscript received on August 01, 2013. | Manuscript published on August 30, 2013. | PP: 122-125 | Volume-2, Issue-6, August 2013.  | Retrieval Number: F1988082613/2013©BEIESP

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Abstract: Error Detection holds a very important role in software testing process. By the test case runs it provides developers by means to quantify of how well their source code is being exercised. By detecting errors/bugs in the code it estimates the effectiveness of the test. We must implement a methodical way and support the theoretical bases for testing the programs with the purpose of performing effective software testing and error detection. In our study we use the crossword application where we automatically make test cases and systematically discover the impact of context, as captured by criterion functions which we described in our source code. Our studying demonstrates that by increasing the event combinations tested and by organizing the comparative positions of events defined by the new criteria, we can become aware of a large number of faults that were undetectable by earlier techniques. In this paper we are implementing the event based test case generation and aspect oriented test case generation. The experimental result shows that our proposed work test case generation process providing better error detection when compared with the existing work. In this paper we are implementing the event based and aspect based test case generation.
Keywords: Aspect Oriented Testing, Automated Testing, Error Detection, Event Oriented Testing, Test Case Generation, Testing Process.