Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/209941
Title: DESIGN OF SOFTWARE TESTING TECHNIQUES IN AGILE DEVELOPMENT
Researcher: ANITA
Guide(s): Dr. Naresh Chauhan
Keywords: Agile, Scrum, Extreme Programming, Regression Testing, Test Driven Design
University: YMCA University of Science and Technology
Completed Date: 19-08-2016
Abstract: The long term goal of customer satisfaction is the main concern for any service provider in the software industry. In an Agile software development, small team which is committed to small duration sprint handles several challenges while delivering deliverable to the client. On the other side, frequent changes are added by the client so as to have product which is as per the market standard or competitor product s feature. These changes may bring along additional burden for the team. This burden may be in terms of test suite management, working in distributed management. For handling, test suite management, an Agile testing life cycle has been proposed which is focused on regression testing. newlineIn Agile, team works in pair programming style of culture under the supervision of Scrum master in SCRUM methodology. The proposed extension comprises simplification of code for future scalability which is based on changes proposed by client. The post simplification step includes test suite/case management. The test suite/case management has been implemented using three test case prioritization techniques. newlineThe first proposed technique is based on pre-identification of risk for user stories and which further laid to prioritization of these user stories and further, prioritization of their test cases. The second proposed technique for test suite management is based on proposed test pattern for common problem of test suite management. The last approach for test case prioritization is based on linguistic parameters such as noun, verb and punctuations. Furthermore, the effectiveness of proposed test case prioritization has been proved using average percentage of fault detection. newline
Pagination: 
URI: http://hdl.handle.net/10603/209941
Appears in Departments:Department of Computer Engineering

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chapter 1.pdf183.88 kBAdobe PDFView/Open
chapter 2.pdf1.76 MBAdobe PDFView/Open
chapter 3.pdf573.93 kBAdobe PDFView/Open
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chapter 6.pdf1.61 MBAdobe PDFView/Open
chapter 7.pdf88.63 kBAdobe PDFView/Open
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