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Enhancing Internal Quality of the Software Using Intelligence Code Evaluator

  • Conference paper
Trends in Intelligent Robotics, Automation, and Manufacturing (IRAM 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 330))

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Abstract

Software quality is assessed by a number of variables. These variables can be divided into external and internal quality criteria. External quality is what a user experiences when running the software in its operational mode. Internal quality refers to aspects that are code-dependent, and that are not visible to the end-user. Internal quality of the software is measured by software developer only. Developer fix the code complexity according to the problem. Minimum size of source code will leads to reduce debugging time and cost. This paper proposes a software quality support tool, a Java source code evaluator and a code profiler based on computational intelligence techniques to reduce schedule slippage of development activity. It gives a new approach to evaluate and identify inaccurate source code usage and transitively, the software product itself. The aim of this project is to provide the software development industry with a new tool to increase software quality by extending the value of source code metrics through computational intelligence.

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Author information

Authors and Affiliations

  1. Department of CSE &IT, Coimbatore Institute of Technology, Coimbatore, India, 641 014

    M. Sangeetha

  2. Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore, India, 641 014

    C. Arumugam

  3. Department of Mechatronics Engineering, Kumaraguru College of Technology, Coimbatore, India, 641 014

    K. M. Senthil Kumar & P. S. Alagirisamy

Authors
  1. M. Sangeetha
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  2. C. Arumugam
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  3. K. M. Senthil Kumar
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  4. P. S. Alagirisamy
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Editor information

Editors and Affiliations

  1. Monash University Sunway Campus, 46150, Malaysia

    S. G. Ponnambalam , Jussi Parkkinen  & Kuppan Chetty Ramanathan ,  & 

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© 2012 Springer-Verlag Berlin Heidelberg

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Sangeetha, M., Arumugam, C., Senthil Kumar, K.M., Alagirisamy, P.S. (2012). Enhancing Internal Quality of the Software Using Intelligence Code Evaluator. In: Ponnambalam, S.G., Parkkinen, J., Ramanathan, K.C. (eds) Trends in Intelligent Robotics, Automation, and Manufacturing. IRAM 2012. Communications in Computer and Information Science, vol 330. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35197-6_56

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  • DOI: https://doi.org/10.1007/978-3-642-35197-6_56

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35196-9

  • Online ISBN: 978-3-642-35197-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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