Application of Multi-Objective Hyper-Heuristics to Solve the Multi-Objective Software Module Clustering Problem

Software maintenance is an important step in the software lifecycle. module clustering a HHMO_CF_GDA optimization problem involving several targets that require minimization of coupling and maximization cohesion. Moreover, multi-objective involves assembling specific group modules according to cluster criteria. classifies into different clusters enhance process. A structure with low high cohesion considered excellent structure. In this study, we apply hyper-heuristic method solve three objectives: (i) minimize coupling, (ii) maximize cohesion, (iii) ensure modularization quality. We conducted experiments obtain optimal near-optimal solutions for problem. The experimental results demonstrated outperformed individual evolutionary algorithms solving resulting software, which was applied, more optimized achieved lower higher better robust easier maintain because its modularity.