Feature selection algorithm for usability engineering: a nature inspired approach

Abstract Software usability is usually used in reference to the hierarchical software model by researchers and an important aspect of user experience quality. Thus, evaluation essential parameter for managing regulating a software. However, it has been difficult establish precise method this problem. A large number factors have suggested many researchers, each covering set different increase degree friendliness Therefore, selection correct determining features paramount importance. This paper proposes innovative metaheuristic algorithm most model. hierarchy-based exhaustive interpretation factors, attributes, its characteristics at levels. modified version grey wolf optimisation (GWO) termed as optimization (MGWO) algorithm. The mechanism based on hunting wolves nature. chooses which are then applied development life cycle models finding out best among them. outcome application also compared with conventional (GWO), binary bat (MBBAT), whale (MWOA), moth flame (MMFO). results show that MGWO surpasses all other relevant optimizers terms accuracy produces lesser attributes equal 8 9 MMFO 12 MBBAT 19 MWOA.