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Interaction Diagram Based Test Case Generation

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Global Trends in Information Systems and Software Applications (ObCom 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 270))

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Abstract

Testing is defined as a process of validating and verifying the software system and artifacts so that they meet their business and technical requirements. It is a very important and time consuming part of software development life cycle. Most of the software fails because of not being tested properly and accurately. The reason behind failure mainly includes the error present in analysis and design phase which are more important than code.

In present work, design diagrams of the software are used for test cases generation. The test case generation using design helps to plan test case early. Generating test cases from design are more effective and efficient as design is closer to White Box testing. Sometimes during test cases generation, we come to know about any incompleteness and inconsistence in requirement, which can overcome by taking necessary measures taken in time.

In present work, design is used for test case generation. Using design is used for test case generation helps to plan test case early. If the software can be tested in the design phases then most of the errors in design and analysis phase can be eliminated and can be stopped from propagating to next phase. Thus there is a need to explore testing possibilities in earlier phases of software development.

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© 2012 Springer-Verlag Berlin Heidelberg

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Kumar, R., Bhatia, R.K. (2012). Interaction Diagram Based Test Case Generation. In: Krishna, P.V., Babu, M.R., Ariwa, E. (eds) Global Trends in Information Systems and Software Applications. ObCom 2011. Communications in Computer and Information Science, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29216-3_23

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  • DOI: https://doi.org/10.1007/978-3-642-29216-3_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29215-6

  • Online ISBN: 978-3-642-29216-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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