Quality Metrics measurement for Hybrid Systems (Aspect Oriented Programming – Object Oriented Programming)

Authors

  • Mazen Ismaeel Ghareb College of Science and Technology, University of Human Development, Iraq
  • Gary Allen College of Computing and Engineering, University of Huddersfiled, UK

DOI:

https://doi.org/10.47577/technium.v3i3.3261

Keywords:

Aspect-Oriented Programming Metrics, Object-Oriented Metrics, Static Metrics, Dynamic Metrics, Software Quality metrics, Quality framework Measurement, Hybrid system metrics, hybrid application.

Abstract

This paper explores a new framework for calculating hybrid system metrics using software quality metrics aspect-oriented and object-oriented programming. Software metrics for qualitative and quantitative measurement is a mix of static and dynamic software metrics. It is noticed from the literature survey that to date, most of the architecture considered only the evaluation focused on static metrics for aspect-oriented applications. In our work, we mainly discussed the collection of static parameters ,  long with AspectJ-specific dynamic software metrics.The structure may provide a new direction for research while predicting software attributes because earlier dynamic metrics were ignored when evaluating quality attributes such as maintainability, reliability, and understandability of Asepect Oriented software. Dynamic metrics based on the  fundamentals of software engineering are equally crucial for software analysis as are static metrics. A similar concept is borrowed with the introduction of dynamic software metrics to implement aspect-riented software development.Currently, we only propose a structure and model using static and dynamic parameters to test the aspect-oriented method, but we still need to validate the proposed approach.

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Published

2021-04-21

How to Cite

Ghareb, M. I., & Allen, G. (2021). Quality Metrics measurement for Hybrid Systems (Aspect Oriented Programming – Object Oriented Programming). Technium: Romanian Journal of Applied Sciences and Technology, 3(3), 82–99. https://doi.org/10.47577/technium.v3i3.3261