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Reliability Quantification of an OO Design -Complexity Perspective-

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Advances in Computer Science, Engineering & Applications

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 166))

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Abstract

Object oriented design and development are popular conceptions in today’s software development scenario. Object oriented design supports design principals such as inheritance, coupling, cohesion and encapsulation. The proposed research work will deliver a mechanism for reliability estimation of object oriented design in respect of complexity perspective. The four OO design metrics namely Inheritance metric complexity perspective (IMC), coupling metric complexity perspective (CMC), cohesion metric complexity perspective (COMC) and encapsulation metric complexity perspective (EMC) are proposed for each of object oriented design constructs such as inheritance, coupling, cohesion and encapsulation respectively. The paper also proposed complexity and reliability estimation models. On the basis of proposed metrics a multiple regression equation has been established for computing the complexity of design hierarchies. Complexity is inversely affects reliability of object oriented designs. Again a multiple regression equation has been established to compute reliability in respect of complexity. Comparative analysis among metric and model values has been done in this paper.

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Authors and Affiliations

  1. Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, India

    A. Yadav & R. A. Khan

Authors
  1. A. Yadav
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  2. R. A. Khan
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Correspondence to A. Yadav .

Editor information

Editors and Affiliations

  1. Southeastern Louisiana University, Hammond, USA

    David C. Wyld

  2. Mendel University, Brno, Czech Republic

    Jan Zizka

  3. Wireilla Net Solutions PTY Ltd, Melbourne, Australia

    Dhinaharan Nagamalai

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Yadav, A., Khan, R.A. (2012). Reliability Quantification of an OO Design -Complexity Perspective-. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent and Soft Computing, vol 166. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30157-5_58

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  • DOI: https://doi.org/10.1007/978-3-642-30157-5_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30156-8

  • Online ISBN: 978-3-642-30157-5

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