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Measuring Software Product Quality with ISO Standards Base on Fuzzy Logic Technique

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Affective Computing and Intelligent Interaction

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 137))

Abstract

ISO25000 (SQuaRE) provides new series of international standards on software product quality measurement. This paper, based on ISO 25000  (SQuaRE) Software Quality Measurement Model, describes how to establish software quality assessment system, using Fuzzy measures to quantize Fuzzy characteristic (or sub-characteristic), and then apply Choquet integral for synthetically evaluation. An example is also provided to demonstrate how to use this approach.

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References

  1. Albrecht, A.J.: Measuring application development productivity. In: Proc. Joint SHARE/GUIDE/IBM Application Development Symp., pp. 83–92 (October 1979)

    Google Scholar 

  2. Halstead, M.H.: Elements of Software Science. Operating and programming systems series. Elsevier Science Inc., New York (1977)

    MATH  Google Scholar 

  3. McCall, J., Richards, P., Walters, G.: Factors in Software Quality, vol 1. Technical Report CDRL A003, US Rome Air Development Centre (1977)

    Google Scholar 

  4. Boehm, B.W., Brown, J., Kaspar, H., et al.: Characteristics of Software Quality. TRW Serious of Software Technology, vol. 1. North-Holland, New York (1978)

    Google Scholar 

  5. Bilsel, R.U., Buyukozkan, G., Ruan, D.: A fuzzy preference-ranking model for a quality evaluation of hospital web sites. Int. J. Intell. Syst. 21(3), 1181–1197 (2006)

    Article  MATH  Google Scholar 

  6. ISO 9126, Information Technology–Software Product Evaluation–Quality Characteristics and Guidelines for Their Use. International Organisation for Standardization (September 1992)

    Google Scholar 

  7. ISO, ISO/IEC FCD 25000, Software Engineering – Software Product Quality Requirements and Evaluation (SQuaRE) - Guide to SQuaRE. International Organization for Standardization, Geneva (2004)

    Google Scholar 

  8. Yuan, B., Klir, G.J.: Constructing fuzzy measures: a new method and its application to cluster analysis, pp. 567–571. IEEE (1996)

    Google Scholar 

  9. Grabisch, M.: The application of fuzzy integrals in multicriteria decision making. European Journal of Operational Research 89, 445–456 (1995)

    Article  Google Scholar 

  10. Lee, K.-M., Leekwang, H.: Identification of fuzzy measure by genetic algorithms. Fuzzy Sets and Systems 75, 301–309 (1995)

    Article  MATH  MathSciNet  Google Scholar 

  11. Grabisch, M.: A new algorithm for identifying fuzzy measures and its application to pattern recognition. In: Int. Joint Conf. of the 4th IEEE Int. Conf. on Fuzzy Systems and the 2nd Int. Fuzzy Engineering Symposium, Yokohama, Japan, pp. 145–150 (March 1995)

    Google Scholar 

  12. Chang, C.-W., Wu, C.-R., Lin, H.-L.: Integrating fuzzy theory and hierarchy concepts to evaluate software quality. Software Quality Journal 16(2), 263–276 (2008)

    Article  Google Scholar 

  13. Chen, C.-B., Lin, C.-T., Wang, C.-H., Chang, C.-W.: Model for measuring quality of software in DVRS using the gap concept and fuzzy schemes with GA. Information and Software Technology 48(3), 187–203 (2006)

    Article  Google Scholar 

  14. Pedrycz, W., Han, L., Peters, J.F., Ramanna, S., Zhai, R.: Calibration of software quality: fuzzy neural and rough neural computing approaches. Neurocomputing 36(1-4), 149–170

    Google Scholar 

  15. Takahagi, E.: On Identification methods of λ-fuzzy measures using weights and λ. Japanese Journal of Fuzzy Sets and Systems 12(5), 665–676 (2000)

    Google Scholar 

  16. Sugeno, M.: Theory of fuzzy integrals and its applications [PhD Disseration]. Tokyo Institute of Technology (1974)

    Google Scholar 

  17. Choquet, G.: Theory of capacities. Annales de l’Institut Fourier 5, 131–295 (1953)

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. School of Information Science and Engineering, Lanzhou University of Finance and Economics, Lanzhou, Gansu Province, China

    Haijun Yang

Authors
  1. Haijun Yang
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Editor information

Editors and Affiliations

  1. National Kinmen Institute of Technology, Jinning Township 892, Kinmen, Taiwan R.O.C.

    Jia Luo

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Yang, H. (2012). Measuring Software Product Quality with ISO Standards Base on Fuzzy Logic Technique. In: Luo, J. (eds) Affective Computing and Intelligent Interaction. Advances in Intelligent and Soft Computing, vol 137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27866-2_8

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  • DOI: https://doi.org/10.1007/978-3-642-27866-2_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27865-5

  • Online ISBN: 978-3-642-27866-2

  • eBook Packages: EngineeringEngineering (R0)

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