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Towards improving aspect-oriented software reusability estimation.
Aws A Magableh1,2, Hana'a Bani Ata3, Ahmad A Saifan3
1Department of Information Systems, Faculty of Computer Sciences and Information Technology, Yarmouk University, Irbid, 21163, Jordan. aws.magableh@yu.edu.jo.
Scientific Reports
|June 8, 2024
Summary
This study introduces a new model to measure software reuse in Aspect-Oriented Software (AOS) development. The proposed model incorporates new attributes like complexity and generality, offering a more accurate assessment of reusability for organizations.
Area of Science:
- Software Engineering
- Computer Science
Background:
- Aspect-Oriented Programming (AOP) enhances Object-Oriented Programming (OOP) by promoting flexible and reusable software components.
- Software reuse is a critical attribute for evaluating component quality, yet its measurement in AOP remains unstandardized.
Purpose of the Study:
- To develop a standardized and reasonable measurement for Aspect-Oriented Software (AOS) reuse.
- To propose a novel model and equation for estimating AOS reusability.
Main Methods:
- Designed a new model for AOS reusability estimation based on a novel equation.
- Introduced two new attributes, complexity and generality, alongside coupling, cohesion, and design size.
- Developed new metrics to measure these attributes and applied them to seven aspect projects for case study analysis.
Main Results:
- A new equation for calculating AOS reusability was constructed using five key attributes and proposed metrics.
- Case study analysis on seven aspect projects yielded new reusability values.
- Comparison with previous equations demonstrated a significant effect of the proposed reusability metrics and attributes.
Conclusions:
- The proposed model provides a more accurate and comprehensive measurement of AOS reusability.
- The inclusion of complexity and generality attributes enhances the evaluation of software reuse in AOP.
- This standardized measurement offers practical advantages for organizations and researchers in AOP development.
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