Evaluation of OO Software Quality by Using Predictive Object Points (POP) Metric

Authors

  • Vijay Yadav, Raghuraj Singh, Vibhash Yadav

Keywords:

Quality measurement, quality model, quality attributes, Object Orientation, Object-Oriented Software Metrics, Predictive Object Point Metri

Abstract

Software quality assessment is essential as it reduces costs associated with the allocation of testing and maintenance resources. Software quality metrics based on object-oriented technologies will become increasingly important as object-oriented technologies become more prevalent. This paper examines how Predictive Object Point software sizing metrics can help designers assess an OO system's quality during the planning phase. By combining high-level quality attributes such as extendibility, reusability, flexibility, understandability, functionality, and effectiveness, POPs Metric makes it easy to make quality decisions. Different versions of three OO software were tested for the exact necessities and aimed to evaluate the proposed quality assessment model. Various design metrics have been measured using a quality metric tool to assess the quality of the projects under study. We compare POP counts with these quality attributes to see what's trending. Analysis and presentation of the results demonstrate that the POP Count can be used to assess the quality of OO software.

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Author Biography

Vijay Yadav, Raghuraj Singh, Vibhash Yadav

Vijay Yadav1, Raghuraj Singh2, Vibhash Yadav3

1Department of CSE,

Dr. A. P. J Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India vijayyadavuiet@gmail.com      

2Department of C.S.E,

 Harcourt Butler Technical University, Kanpur, Uttar Pradesh, India.

raghurajsingh@rediffmail.com

3Department of I.T,

Rajkiya Engineering College,

 Banda, Uttar Pradesh, India.

 vibhashds10@gmail.com

References

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Plot of JaimBot Project Version's computed quality attributes & POP count

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Published

27.01.2023

How to Cite

Vijay Yadav, Raghuraj Singh, Vibhash Yadav. (2023). Evaluation of OO Software Quality by Using Predictive Object Points (POP) Metric. International Journal of Intelligent Systems and Applications in Engineering, 11(2s), 328–336. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2700

Issue

Vol. 11 No. 2s (2023)

Section

Research Article

License

Copyright (c) 2023 Vijay Yadav, Raghuraj Singh, Vibhash Yadav

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