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Quantifying Requirements Risk

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3556))

Abstract

It is possible to apply Information Theory to the Software Development process – an approach I have dubbed ’Iterative Theory’. Focusing on the user requirements Iterative Theory is introduced and then used to quantify how the choice of development methodology affects the ’value at risk’ on a software project. The central theme is that end-user requirements cannot be described exactly resulting in an inherent uncertainty in the correctness of any specification. This uncertainty can only be removed by receiving feedback on working software. Iterative Theory, the application of Information Theory to the software development process, is certainly an area requiring further study.

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References

  1. Mackay, David, J.C.: Information Theory, Inference and Learning Algorithms. Cambridge University Press, Cambridge (2004)

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  2. Royce, W.: Managing the Development of Large Software Systems. In: Proceedings of IEE Westcon (1970)

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  3. Pierce, J.R.: An Introduction to Information Theory. Dover Science Books, New York (1980)

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© 2005 Springer-Verlag Berlin Heidelberg

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Tingey, F. (2005). Quantifying Requirements Risk. In: Baumeister, H., Marchesi, M., Holcombe, M. (eds) Extreme Programming and Agile Processes in Software Engineering. XP 2005. Lecture Notes in Computer Science, vol 3556. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499053_8

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  • DOI: https://doi.org/10.1007/11499053_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26277-0

  • Online ISBN: 978-3-540-31487-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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