Improving the Efficiency of Regression Test Case Prioritization for Large Scale Workflow SOA
GT Ramya
Regression Testing, Test Case Prioritization, BPEL, Large Scale Applications.
Large software system development is a difficult and error-prone process. Any level of development may have errors, thus it's important to find and fix them as soon as we can to prevent further development and lower verification costs. To define necessary characteristics and evaluate their influence on the development process, quality engineers must be involved in the process from the very beginning. So, software testing provides accuracy and quality of the software product and services under the test. Many web services are service-oriented workflow applications with different functions. Web Service Business Process Execution Language (WSBPEL) has become the standard architecture for all service applications online. These applications often suffer from failures or defects, especially during the service evolution of service composition. Although costly, regression testing is a crucial part of software maintenance. Regression testing verifies altered software and makes sure that the added features did not create unforeseen faults. In the existing system, WSBPEL activity dependencies such as correlation and synchronization dependencies are proposed. For analyzing the internal structure changes module dependency technology is used and modification impact analysis is used for test case Prioritization of service oriented applications. Program slicing techniques are the foundation of the majority of regression test selection methods. In the existing system slicing technique is used for prioritizing regression test cases. But, it does not support large scale workflow applications. It is important to propose an LSBPEL (Large Scale Business Process Execution Language) technique after studying the demand for large scale and many service-oriented workflow applications. In comparison to conventional approaches that address single service test case priority, the suggested solution is more efficient.
Article Details
Unique Paper ID: 157208

Publication Volume & Issue: Volume 9, Issue 6

Page(s): 229 - 233
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