Journal
ADVANCES IN ENGINEERING SOFTWARE
Volume 173, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2022.103252
Keywords
Source code comprehension; Software modules clustering; Modularization quality; Gray wolf optimization algorithm; Cohesion; Coupling
Ask authors/readers for more resources
This paper studies software module clustering problem and proposes a hybrid method using a combination of gray wolf optimization algorithm and genetic algorithms. Experimental results show that this method improves the quality of clustering and outperforms other methods in terms of modularization quality and convergence speed.
Maintenance is a critical and costly phase of software lifecycle. Understanding the structure of software will make it much easier to maintain the software. Clustering the modules of software is regarded as a useful reverse engineering technique for constructing software structural models from source code. Minimizing the connections between produced clusters, maximizing the internal connections within the clusters, and maximizing the clustering quality are the most important objectives in software module clustering. Finding the optimal software clustering model is regarded as an NP-complete problem. The low success rate, limited stability, and poor modularization quality are the main drawbacks of the previous methods. In this paper, a combination of gray wolf optimization algorithm and genetic algorithms is suggested for efficient clustering of software modules. An extensive series of experiments on 14 standard benchmarks have been conducted to evaluated the proposed method. The results illustrate that using the combination of gray wolf and genetic algorithms to the softwaremodule clustering problem increases the quality of clustering. In terms of modularization quality and convergence speed, proposed hybrid method outperforms the other heuristic approaches.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available