Learnability has been regarded as a fundamental usability attribute and plays a significant role for the success of software applications. Good learnability not only leads to a better productivity quickly but also plays a vital role in initial adoption or rejection of a technology. To evaluate and hence improve learnability, understanding the factors affecting learnability is necessary. In this paper we develop a comprehensive model of learnability by identifying and then abstracting learnability attributes logically to lower level. We carry out a case study to prove adequacy of the proposed model. This learnability attribute model can set a baseline for future learnability understanding and evaluation.
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