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The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics

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Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 328))

Abstract

Object oriented design is more powerful than function oriented design. Previously the software was developed by using functional or structural approach but due to high quality demand, traditional metrics (i.e. Cyclomatic complexity, lines of code, comment percentage) cannot be applied. Object oriented metric assures to reduce cost and maintenance effort by serving earlier predictors to estimate software faults. The Object Oriented Analysis and Design of software gives the many benefits like reusability, decomposition of problems in to easily understandable objects. This paper presents the different object oriented metrics qualities in different dimensions (i.e. size, complexity, quality, reliability, etc). Object oriented metrics are used to analyze the complexity of any object oriented language (i.e. java, c++, C Sharp).In this paper we have taken the different sets of programs using C++ and Java. It concludes that Java dominants the C++ .The popularity is only due to measuring the software complexity, quality and estimation size of the projects.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Gandhi Institute of Engineering and Technology, GIET, Gunupur, 765022, Odisha, India

    Rasmita Panigrahi

  2. Sambalpur University, Burla, Odisha, India

    Rasmita Panigrahi

  3. Department of Computer Science and Application (CSA), Sambalpur University, Burla, Sambalpur, Odisha, India

    Sarada Baboo

  4. Department of Computer Science, Gandhi Institute of Engineering and Technology, Gunupur, 765022, Odisha, India

    Neelamadhab Padhy

Authors
  1. Rasmita Panigrahi
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  2. Sarada Baboo
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  3. Neelamadhab Padhy
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science Engineering, Anil Neerukonda Ins Tech & Sci Dept of Comp Sci Engg, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Bhubaneswar Engineering College, Bhubaneswar, Odisha, India

    Bhabendra Narayan Biswal

  3. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K. Udgata

  4. Department of Computer Science and Engineering, University of Kalyanai Faculty of Engg., Tech. & Management, Kalyanai, West Bengal, India

    J. K. Mandal

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Panigrahi, R., Baboo, S., Padhy, N. (2015). The Statistical Measurement of an Object-Oriented Programme Using an Object Oriented Metrics. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 328. Springer, Cham. https://doi.org/10.1007/978-3-319-12012-6_67

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  • DOI: https://doi.org/10.1007/978-3-319-12012-6_67

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-12011-9

  • Online ISBN: 978-3-319-12012-6

  • eBook Packages: EngineeringEngineering (R0)

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