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Component Prioritization Schema for Achieving Maximum Time and Cost Benefits from Software Testing

  • Conference paper
Information Systems, Technology and Management (ICISTM 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 31))

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Abstract

Software testing is any activity aimed at evaluating an attribute or capability of a program or system and determining that it meets its required results. Defining the end of software testing represents crucial features of any software development project. A premature release will involve risks like undetected bugs, cost of fixing faults later, and discontented customers. Any software organization would want to achieve maximum possible benefits from software testing with minimum resources. Testing time and cost need to be optimized for achieving a competitive edge in the market. In this paper, we propose a schema, called the Component Prioritization Schema (CPS), to achieve an effective and uniform prioritization of the software components. This schema serves as an extension to the Non Homogenous Poisson Process based Cumulative Priority Model. We also introduce an approach for handling time-intensive versus cost-intensive projects.

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References

  • Ranjan, P., Srivastava, G., et al.: Non -Homogenous Poisson Process Based Cumulative Priority Model for Determining Optimal Software Testing Period. ACM SIGSOFT Software Engineering Notes 33(2) (March 2008)

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© 2009 Springer-Verlag Berlin Heidelberg

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Srivastava, P.R., Pareek, D. (2009). Component Prioritization Schema for Achieving Maximum Time and Cost Benefits from Software Testing. In: Prasad, S.K., Routray, S., Khurana, R., Sahni, S. (eds) Information Systems, Technology and Management. ICISTM 2009. Communications in Computer and Information Science, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00405-6_41

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  • DOI: https://doi.org/10.1007/978-3-642-00405-6_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00404-9

  • Online ISBN: 978-3-642-00405-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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