A Study on Usability Requirement for Redesigning Student Information System

Purnamasari, Fanindia; Hardi, Surya

doi:10.1109/elticom47379.2019.8943924

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…A hybrid algorithm based on GA and ant colony optimization algorithms is developed by [11] for the solution of a multi-criteria supplier selection problem. In a study [12], the GA is used with the Bayesian approach for the green supplier selection. A GA-based method to optimize the efficiency of the software testing process was proposed by [13], and this method focuses on the most critical paths in a program.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancing Software Requirements Selection Process Using Genetic Algorithm

Nazim¹,

Ahmad²,

Farhan³

et al. 2023

Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 Mar

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Software requirements selection is an important phase of the software development process. It is very difficult to decide the most important software requirements from a large set. Therefore, the capability of the genetic algorithm to assist in making better decisions on the software requirements selection is demonstrated in this paper using a practical case study. The objective of the genetic algorithm implemented in the software requirements selection function is to get a better decision in selecting the appropriate software requirements based on a range of criteria in various circumstances. To acquire information on assessment criteria and requirements, we used an Institute Examination System. The results obtained from experiments based on different criteria by prioritizing different software requirements have proved the capability of genetic algorithm to select the best solution. Our proposed genetic algorithm based software requirements selection approach is compatible with existing genetic algorithm based techniques and as well as the some other fuzzy based techniques also.

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Section: Literature Reviewmentioning

confidence: 99%

Enhancing Software Requirements Selection Process Using Genetic Algorithm

Nazim¹,

Ahmad²,

Farhan³

et al. 2023

Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 Mar

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Ten simple rules for creating a scientific web application

et al. 2021

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The use of scientific web applications (SWApps) across biological and environmental sciences has grown exponentially over the past decade or so. Although quantitative evidence for such increased use in practice is scant, collectively, we have observed that these tools become more commonplace in teaching, outreach, and in science coproduction (e.g., as decision support tools). Despite the increased popularity of SWApps, researchers often receive little or no training in creating such tools. Although rolling out SWApps can be a relatively simple and quick process using modern, popular platforms like R shiny apps or Tableau dashboards, making them useful, usable, and sustainable is not. These 10 simple rules for creating a SWApp provide a foundation upon which researchers with little to no experience in web application design and development can consider, plan, and carry out SWApp projects.

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A Study on Usability Requirement for Redesigning Student Information System

Cited by 2 publications

References 3 publications

Enhancing Software Requirements Selection Process Using Genetic Algorithm

Enhancing Software Requirements Selection Process Using Genetic Algorithm

Ten simple rules for creating a scientific web application

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