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Research Article | Open Access |

Application-based Usability Evaluation Metrics

Author 1: Hanaa Bayomi Author 2: Noura A.Sayed Author 3: Hesham Hassan Author 4: Khaled Wassif
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 13, No. 7 · Published 2022 · Cited by 7

DOI: https://doi.org/10.14569/IJACSA.2022.0130712

Abstract

Testing is one of the vital stages in the software development life cycle (SDLC). Usability testing is a very important field that helps the applications be easily used by the end-users. Because of the importance of usability testing, a metrics has been developed to help in measuring the usability through converting the main qualitative usability attributes in ISO to quantitative steps that provide the developer a framework to follow in developing to achieve usability of their applications and helps the tester with a checklist and a tool to measure the usability percentage of their application. The framework provides a set of steps to achieve the usability attributes and answers the question of how you could measure this attribute with the defined steps. The framework results in a 95% average accuracy in the high-rate application and a 59% average accuracy in the low-rate application. Finally, the framework is programmed in a tool to measure the usability percentage of the application through a checklist and provides a scheme to help the developer achieve the best results in usability.

Keywords

How to Cite this Article

Bayomi, H., A.Sayed, N., Hassan, H., & Wassif, K. (2022). Application-based Usability Evaluation Metrics. International Journal of Advanced Computer Science and Applications, 13(7). https://doi.org/10.14569/IJACSA.2022.0130712

Bayomi, Hanaa, et al.. "Application-based Usability Evaluation Metrics." International Journal of Advanced Computer Science and Applications, vol. 13, no. 7, 2022, https://doi.org/10.14569/IJACSA.2022.0130712.

@article{Bayomi2022,
  title     = {Application-based Usability Evaluation Metrics},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {13},
  number    = {7},
  year      = {2022},
  publisher = {The Science and Information Organization},
  author    = {Hanaa Bayomi and Noura A.Sayed and Hesham Hassan and Khaled Wassif},
  doi       = {10.14569/IJACSA.2022.0130712},
  url       = {https://doi.org/10.14569/IJACSA.2022.0130712}
}

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