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Usability feature extraction using modified crow search algorithm: a novel approach

  • S.I. : Computer aided Medical Diagnosis
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Abstract

For the purpose of usability feature extraction and prediction, an innovative metaheuristic algorithm is introduced. Generally, the term “usability” is defined by the several researchers with respect to the hierarchical-based software usability model and it has become one of the important methods in terms of software quality. In hierarchically based software, its usability factors, attributes, and its characteristics are combined. The paper presented an algorithm, i.e., modified crow search algorithm (MCSA) mainly for extraction of usability features from hierarchical model with the optimal solution under the search for useful features. MCSA is an extension of original crow search algorithm (CSA), which is a naturally inspired algorithm. The mechanism of this algorithm is based on the process of hiding food and prevents theft and hence introduced this CSA in the field of software engineering practices as an inspiration. The algorithm generates a particular number of selected features/attributes and is applied on software development life cycles models, finding out the best among them. The results of the presented algorithm are compared with the standard binary bat algorithm (BBA), original CSA, and modified whale optimization algorithm (MWOA). The outcomes conclude that the proposed MCSA performs well than the standard BBA and original CSA as the proposed algorithms generate fewer number of feature selection equal to 17 than 18 in BBA, 23 in CSA, and 19 in MWOA.

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Acknowledgements

This work was partially supported by National Funding from the FCT—Fundação para a Ciência e a Tecnologia through the UID/EEA/500008/2013 Project; by the Government of the Russian Federation, Grant 08-08; by Brazilian National Council for Research and Development (CNPq) via Grant No. 309335/2017-5; and by FINEP, with resources from FUNTTEL, Grant No. 01.14.0231.00, under the Radiocommunication Reference Center (Centro de Referência em Radiocomunicações—CRR) Project of the National Institute of Telecommunications (Instituto Nacional de Telecomunicações—Inatel), Brazil. VHCA acknowledge National Council for Scientific and Technological Development (CNPq) via Grant #304315/2017-6.

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Authors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Delhi, India

    Deepak Gupta, Shirsh Sundaram & Ashish Khanna

  2. National Institute of Telecommunications (Inatel), Santa Rita do Sapucaí, MG, Brazil

    Deepak Gupta, Joel J. P. C. Rodrigues & Ashish Khanna

  3. Instituto de Telecomunicações, Lisbon, Portugal

    Joel J. P. C. Rodrigues

  4. ITMO University, St. Petersburg, Russia

    Valery Korotaev

  5. University of Fortaleza (UNIFOR), Fortaleza, CE, Brazil

    Victor Hugo C. de Albuquerque

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  1. Deepak Gupta
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  2. Joel J. P. C. Rodrigues
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  3. Shirsh Sundaram
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  4. Ashish Khanna
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  5. Valery Korotaev
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  6. Victor Hugo C. de Albuquerque
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Correspondence to Deepak Gupta.

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Gupta, D., Rodrigues, J.J.P.C., Sundaram, S. et al. Usability feature extraction using modified crow search algorithm: a novel approach. Neural Comput & Applic 32, 10915–10925 (2020). https://doi.org/10.1007/s00521-018-3688-6

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