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Approximate time rough software cost decision system: Multicriteria decision-making approach

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Foundations of Intelligent Systems (ISMIS 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1609))

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Abstract

This paper introduces an approximate time rough software cost control system based on a multicriteria decision-making approach using the Choquet integral as well as refinements of the Albrecht-Gaffney function points cost model. Estimated project durations are measured with approximate time windows, which compute the degree of membership of each estimate in a number of temporal information granules which contribute to our knowledge of the time required for software development. An application of the Choquet integral in a rough set approach to controlling software cost is presented in this paper. The Choquet integral provides global evaluations of coalitions of timesaving software development technologies used during a software project. Such global evaluations pave the way for the construction of decision system tables and the use of rough set theory in deriving rules to control the duration of a software process. A sample rough software cost decision system is given.

Research supported by NSERC Individual Research Grant Nos:OGP0170398 and 202700

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References

  1. A.J. Albrecht, Measuring application development productivity. In: Proc. IBM Applications Development Symposium, Monterey, California, 14–17 October 1979.

    Google Scholar 

  2. A. Albrecht and J.E. Gaffney: Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation. IEEE Trans. on Software Engineering, SE-9, 6 (1983) 639–647.

    Google Scholar 

  3. J.F. Peters, Time and clock information systems: Concepts and roughly fuzzy Petri net models. In: L. Polkowski and A. Skowron (Eds.), Rough Sets and Knowledge Discovery. Berlin, Physica Verlag, a division of Springer Verlag, 1998, 385–417.

    Google Scholar 

  4. J.F. Peters, K. Ziaei, S. Ramanna, Approximate time rough control: Concepts and application to satellite attitude control. In: L. Polkowski and A. Skowron (Eds.), Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence 1424. Berlin, Springer-Verlag, 1998, 491–498.

    Google Scholar 

  5. M. Sugeno, Theory of fuzzy integrals and its applications. Ph.D. Thesis, Tokyo Institute of Technology, 1974.

    Google Scholar 

  6. M. Grabisch, Fuzzy integral in multicriteria decision making. Fuzzy Sets and Systems, 69: 279–298, 1995.

    Article  MATH  MathSciNet  Google Scholar 

  7. M. Grabisch, H.T. Nguyen, E.A. Walker, Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference. Boston, Kluwer Academic Publishers, 1995.

    MATH  Google Scholar 

  8. J.F. Peters and S. Ramanna: Application of Choquet Integral in Software Cost Estimation. In: Proc. IEEE Int. Conf. on Fuzzy Systems, New Orleans, 1996, 862–866.

    Google Scholar 

  9. J.F. Peters, S. Ramanna, Application of the Choquet integral in a software deployability control system. Proc. of the 5th Int. Conf. on Soft Computing and Information/Intelligent Systems, Iizuka, Fukuoka Japan, 16–20 October 1998, vol. 1, 386–389.

    Google Scholar 

  10. A. Skowron and J. Stepaniuk, Constructive information granules. In: Proc. of the 15th IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, Berlin, Germany, 24–29 August 1997. Artificial Intelligence and Computer Science 4, 1997, 625–630.

    Google Scholar 

  11. A. Skowron and J. Stepaniuk, Information granules and approximation spaces. In: Proc. 7th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU’98), Paris, La Sorbonne, 6–10 July 1998, 1354–1361.

    Google Scholar 

  12. Z. Pawlak, Rough Sets: Theoretical Aspects of Reasoning About Data. Boston, MA, Kluwer Academic Publishers, 1991.

    Google Scholar 

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Manitoba, R3T 2N2, Winnipeg, Manitoba, Canada

    J. F. Peters & L. Han

  2. Department of Business Computing, University of Winnipeg, R3B 2E9, Winnipeg, Canada

    S. Ramanna

Authors
  1. J. F. Peters
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  2. L. Han
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  3. S. Ramanna
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Zbigniew W. Raś Andrzej Skowron

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© 1999 Springer-Verlag Berlin Heidelberg

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Peters, J.F., Han, L., Ramanna, S. (1999). Approximate time rough software cost decision system: Multicriteria decision-making approach. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1999. Lecture Notes in Computer Science, vol 1609. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095144

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  • DOI: https://doi.org/10.1007/BFb0095144

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65965-5

  • Online ISBN: 978-3-540-48828-6

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