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Software component reusability prediction using extra tree classifier and enhanced Harris hawks optimization algorithm

Author

Listed:
  • Pradeep Kumar

    (AIIT, Amity University Uttarpradesh)

  • Shailendra Narayan Singh

    (ASET, Amity University)

  • Sudhir Dawra

    (Mewat Engineering College)

Abstract

In software development industry, component based software development is an emerging research area which helps to characterize the quality of software, especially software component reusability. Finding good quality software components are internally strong cohesive which reduces the maintenance effort and fasten the development of a software. In this research paper, a new three phase model is proposed for an effective software component reusability prediction. In the first phase, the real time input data are collected from the python programs with 70 number of instances and 16 number of attributes. In the second phase, extra tree classifier is applied to select the best attributes from the collected data on the basis of Gini index. In the final phase, selected attributes are fed to enhanced Harris hawks optimization algorithm for selecting the best reusable software components from the python programs, where the selected best reusable components are adapter, template, singleton, proxy, factory, façade and state. In the experimental phase, proposed model performance is analyzed by means of mean square error, f-test, P-value and sum of squares. Simulation outcome revealed that the proposed model achieved better performance in software component reusability prediction compared to conventional Harris hawks optimization algorithm. The proposed model almost improved 2% similarity value related to Harris hawks optimization algorithm and other comparative models in terms of f-test, mean square error, and P-value.

Suggested Citation

  • Pradeep Kumar & Shailendra Narayan Singh & Sudhir Dawra, 2022. "Software component reusability prediction using extra tree classifier and enhanced Harris hawks optimization algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 892-903, April.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01359-6
    DOI: 10.1007/s13198-021-01359-6
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    References listed on IDEAS

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    1. Tang, J.F. & Mu, L.F. & Kwong, C.K. & Luo, X.G., 2011. "An optimization model for software component selection under multiple applications development," European Journal of Operational Research, Elsevier, vol. 212(2), pages 301-311, July.
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