Program Source-Code Re-Modularization Using a Discretized and Modified Sand Cat Swarm Optimization Algorithm

One of expensive stages the software lifecycle is its maintenance. Software maintenance will be much simpler if structural models are available. module clustering thought to a practical reverse engineering method for building from source code. The most crucial goals in minimize connections between created clusters, maximize internal within and quality. It that finding best model an NP-complete task. key shortcomings earlier techniques their low success rates, stability, insufficient modularization In this paper, effective code, discretized sand cat swarm optimization (SCSO) algorithm has been proposed. proposed takes dependency graph code generates clusters it. Ten standard real-world benchmarks were used assess performance suggested approach. outcomes show quality improved when SCSO was address issue. beats previous heuristic approaches terms quality, convergence speed, rate.