Feature selection and evaluation for software usability model using modified moth-flame optimization

Gupta, Deepak; Ahlawat, Anil; Sharma, Arun; Rodrigues, Joel J. P. C.

doi:10.1007/s00607-020-00809-6

Cited by 25 publications

(18 citation statements)

References 16 publications

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“…Besides these studies, other important works include Coursaris and Kim [30], Harrison,et al [31], and Quiñones and Rusu [32]. 1 Harrison, et al [31] Table I presents a summary of the selected related works. Note that some works such as Bastien [27] and Coursaris and Kim [30] are not included in the table as these works did not use the standard methodology for conducting systematic literature review.…”

Section: B Related Workmentioning

confidence: 99%

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A Systematic Mapping Study of Software Usability Studies

Almazroi¹

2021

IJACSA

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Among software quality attributes "software usability" is considered as one of the vital factors in software engineering literature. Software usability is the ability for users to generally understand, use, and learn a software with ease. Due to the importance of usability in software quality, a considerable amount of literature is published in the past decade. Few review and survey studies are also published to critically review the existing literature in the domain. However, there is limited research covering systematic mapping study of software usability. Mapping studies help in analyzing the general trends and research productivity in a research area. To fill this gap, this work critically examines the overall research productivity, demographics, trends, and challenges of software usability. The objective is to classify the current contributions and trends in the area of software usability. We retrieved 9,874 research articles from six research databases and 62 works are selected as primary studies using an evidence-based approach. The result of this mapping study shows that software usability is an active research area, with a promising number of works published in the last decade (2011 -2020). We identified that the current literature spans over multiple article classes of which investigative papers, model proposals and evaluation papers are the most frequently published article types. We found experiments and theoretical validations to be the most common validation techniques. In terms of application domains; web, software development and mobile applications are the most frequent domains where usability studies are conducted. We identified that future usability studies should focus more on field studies as well as on the usability testing of scientific software packages. It will be of importance to consider ethical issues in usability testing as well.

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Section: B Related Workmentioning

confidence: 99%

“…Based on IEEE Std.610.12, software usability is the user's simplicity in learning to provide inputs and operate a given component or system [1]. Although software and system usability are considered as non-functional requirements, its importance cannot be overstated [2].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Mapping Study of Software Usability Studies

Almazroi¹

2021

IJACSA

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“…Yu et al [42] proposed a method to embed a quantum rotation gate and simulated annealing into the MFO algorithm, and validated the method in solving the problems of both feature selection and engineering design. Gupta et al [43] proposed a modified MFO algorithm based on the navigation method of moths named transverse orientation for the selection of usability features to get an optimal solution. Elaziz et al [44] introduced an alternative method to create an optimal subset from features that in turn represent the whole features through improving the efficiency of the MFO algorithm in searching for an optimal subset.…”

Section: Related Workmentioning

confidence: 99%

A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

Przystupa

Fang

et al. 2020

Electronics

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With the widespread use of the Internet, network security issues have attracted more and more attention, and network intrusion detection has become one of the main security technologies. As for network intrusion detection, the original data source always has a high dimension and a large amount of data, which greatly influence the efficiency and the accuracy. Thus, both feature selection and the classifier then play a significant role in raising the performance of network intrusion detection. This paper takes the results of classification optimization of weighted K-nearest neighbor (KNN) with those of the feature selection algorithm into consideration, and proposes a combination strategy of feature selection based on an integrated optimization algorithm and weighted KNN, in order to improve the performance of network intrusion detection. Experimental results show that the weighted KNN can increase the efficiency at the expense of a small amount of the accuracy. Thus, the proposed combination strategy of feature selection based on an integrated optimization algorithm and weighted KNN can then improve both the efficiency and the accuracy of network intrusion detection.

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“…Usability, as an essential software quality factor, is the degree to which a software product is employed by particular groups to achieve the goal of efficiency, effectiveness, satisfaction and many other features. In the article entitled "Software usability feature selection and evaluation using Modified Moth-Flame Optimization" [14], the authors developed a nature-inspired optimized algorithm called Modified Moth-Flame Optimization (MMFO) for usability feature selection. The MMFO algorithm reduces the number of features and retains a subset of relevant attributes without degrading the performances of the system.…”

Section: Article Overviews Of This Special Issuementioning

confidence: 99%

Software-driven big data analytics

Ranjan

Villari

et al. 2020

Computing

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Data analytics is the crucial step to reveal essential values of datasets and complete the value chain of big data. In practice, both the hardware infrastructure and the software stack play a fundamental role in big data analytics (BDA). Unfortunately, it is evident that a disproportionately larger amount of effort is being invested in the hardware infrastructure development over the software stack development. Given our concern about a software crisis brewing in the big data ecosystem, we argue that it is time to further strengthen and expand the role of software in BDA implementations. This special issue is then aimed to create a common ground and a reference point for both researchers and practitioners from multiple disciplines to discuss the rigor, relevance, experience and challenges of software-driven BDA as an emerging domain. We also expect to use this special issue to attract more attention and efforts to tighten communication and collaboration between the software engineering community and the data science community.

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Feature selection and evaluation for software usability model using modified moth-flame optimization

Cited by 25 publications

References 16 publications

A Systematic Mapping Study of Software Usability Studies

A Systematic Mapping Study of Software Usability Studies

A Combination Strategy of Feature Selection Based on an Integrated Optimization Algorithm and Weighted K-Nearest Neighbor to Improve the Performance of Network Intrusion Detection

Software-driven big data analytics

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