An Integrated Metrics Based Approach for Usability Engineering


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Abstract


Usability Assessment (UA) is a method that is used to elicit the quality of software products through regular tests with potential users by a variety of methods and models. However, existing  methods either falls in qualitative methods, which generally estimate users opinion of a software product which called (subjective assessment) or falls in quantitative methods, which focus on the performance measurement of the software product which is called (objective assessment). In this paper, we have proposed an Integrated Metrics Based Approach For Usability Engineering (IMAUE), which combine both qualitative and quantitative factors to complement the analysis process. Qualitatively, we have contributed to the factors of (1) conducting UA with fewer requirements by means of time, budget and resources (2) establish 2-way interaction between the user and the tester by interviewing users responses in the UA (3) employing dynamic tasks to fill the gap of communication and convert the UA into a discovery process. Quantitatively, we have proposed various models and metrics that can be used to measure the level of usability, those metrics are (1) interviewing time (2) number of errors (3) task accomplishment (4) time for the task and (5) users satisfaction. In order to clarify the assumptions of the proposed model, we have validated our model against two experimental case studies.
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Keywords


UA; Literature Overview; Research Needs; IMAUE; Case Studies

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