Feature selection algorithm for usability engineering: a nature inspired approach
Abstract Software usability is usually used in reference to the hierarchical software usability model by researchers and is an important aspect of user experience and software quality. Thus, evaluation of software usability is an essential parameter for managing and regulating a software. However, i...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Springer
2021-05-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-021-00384-z |
| _version_ | 1797769213403725824 |
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| author | Rajat Jain Tania Joseph Anvita Saxena Deepak Gupta Ashish Khanna Kalpna Sagar Anil K. Ahlawat |
| author_facet | Rajat Jain Tania Joseph Anvita Saxena Deepak Gupta Ashish Khanna Kalpna Sagar Anil K. Ahlawat |
| author_sort | Rajat Jain |
| collection | DOAJ |
| description | Abstract Software usability is usually used in reference to the hierarchical software usability model by researchers and is an important aspect of user experience and software quality. Thus, evaluation of software usability is an essential parameter for managing and regulating a software. However, it has been difficult to establish a precise evaluation method for this problem. A large number of usability factors have been suggested by many researchers, each covering a set of different factors to increase the degree of user friendliness of a software. Therefore, the selection of the correct determining features is of paramount importance. This paper proposes an innovative metaheuristic algorithm for the selection of most important features in a hierarchical software model. A hierarchy-based usability model is an exhaustive interpretation of the factors, attributes, and its characteristics in a software at different levels. This paper proposes a modified version of grey wolf optimisation algorithm (GWO) termed as modified grey wolf optimization (MGWO) algorithm. The mechanism of this algorithm is based on the hunting mechanism of wolves in nature. The algorithm chooses a number of features which are then applied to software development life cycle models for finding out the best among them. The outcome of this application is also compared with the conventional grey wolf optimization algorithm (GWO), modified binary bat algorithm (MBBAT), modified whale optimization algorithm (MWOA), and modified moth flame optimization (MMFO). The results show that MGWO surpasses all the other relevant optimizers in terms of accuracy and produces a lesser number of attributes equal to 8 as compared to 9 in MMFO and 12 in MBBAT and 19 in MWOA. |
| first_indexed | 2024-03-12T21:05:39Z |
| format | Article |
| id | doaj.art-0cd891dd5a224e01827ea4eb855cd1c7 |
| institution | Directory Open Access Journal |
| issn | 2199-4536 2198-6053 |
| language | English |
| last_indexed | 2024-03-12T21:05:39Z |
| publishDate | 2021-05-01 |
| publisher | Springer |
| record_format | Article |
| series | Complex & Intelligent Systems |
| spelling | doaj.art-0cd891dd5a224e01827ea4eb855cd1c72023-07-30T11:28:00ZengSpringerComplex & Intelligent Systems2199-45362198-60532021-05-01943487349710.1007/s40747-021-00384-zFeature selection algorithm for usability engineering: a nature inspired approachRajat Jain0Tania Joseph1Anvita Saxena2Deepak Gupta3Ashish Khanna4Kalpna Sagar5Anil K. Ahlawat6Department of Computer Science and Engineering, Maharaja Agrasen Institute of TechnologyDepartment of Computer Science and Engineering, Maharaja Agrasen Institute of TechnologyDepartment of Computer Science and Engineering, Maharaja Agrasen Institute of TechnologyDepartment of Computer Science and Engineering, Maharaja Agrasen Institute of TechnologyDepartment of Computer Science and Engineering, Maharaja Agrasen Institute of TechnologyKIET Group of Institutions, Delhi-NCRKIET Group of Institutions, Delhi-NCRAbstract Software usability is usually used in reference to the hierarchical software usability model by researchers and is an important aspect of user experience and software quality. Thus, evaluation of software usability is an essential parameter for managing and regulating a software. However, it has been difficult to establish a precise evaluation method for this problem. A large number of usability factors have been suggested by many researchers, each covering a set of different factors to increase the degree of user friendliness of a software. Therefore, the selection of the correct determining features is of paramount importance. This paper proposes an innovative metaheuristic algorithm for the selection of most important features in a hierarchical software model. A hierarchy-based usability model is an exhaustive interpretation of the factors, attributes, and its characteristics in a software at different levels. This paper proposes a modified version of grey wolf optimisation algorithm (GWO) termed as modified grey wolf optimization (MGWO) algorithm. The mechanism of this algorithm is based on the hunting mechanism of wolves in nature. The algorithm chooses a number of features which are then applied to software development life cycle models for finding out the best among them. The outcome of this application is also compared with the conventional grey wolf optimization algorithm (GWO), modified binary bat algorithm (MBBAT), modified whale optimization algorithm (MWOA), and modified moth flame optimization (MMFO). The results show that MGWO surpasses all the other relevant optimizers in terms of accuracy and produces a lesser number of attributes equal to 8 as compared to 9 in MMFO and 12 in MBBAT and 19 in MWOA.https://doi.org/10.1007/s40747-021-00384-zSoftware usabilitySoftware developmentHierarchical usability modelGrey wolf optimization |
| spellingShingle | Rajat Jain Tania Joseph Anvita Saxena Deepak Gupta Ashish Khanna Kalpna Sagar Anil K. Ahlawat Feature selection algorithm for usability engineering: a nature inspired approach Complex & Intelligent Systems Software usability Software development Hierarchical usability model Grey wolf optimization |
| title | Feature selection algorithm for usability engineering: a nature inspired approach |
| title_full | Feature selection algorithm for usability engineering: a nature inspired approach |
| title_fullStr | Feature selection algorithm for usability engineering: a nature inspired approach |
| title_full_unstemmed | Feature selection algorithm for usability engineering: a nature inspired approach |
| title_short | Feature selection algorithm for usability engineering: a nature inspired approach |
| title_sort | feature selection algorithm for usability engineering a nature inspired approach |
| topic | Software usability Software development Hierarchical usability model Grey wolf optimization |
| url | https://doi.org/10.1007/s40747-021-00384-z |
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