• DocumentCode
    2397443
  • Title

    Evaluating software learnability: A learnability attributes model

  • Author

    Rafique, Irfan ; Jingnong Weng ; Yunhong Wang ; Abbasi, Maissom Qanber ; Lew, Philip ; Wang, Xinran

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    2443
  • Lastpage
    2447
  • Abstract
    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.
  • Keywords
    software performance evaluation; learnability attributes model; learnability evaluation; learnability understanding; software applications; software learnability evaluation; Context; ISO standards; Measurement; Semantics; Usability; Visualization; attribute model; learnability; learnability evaluation; usability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223548
  • Filename
    6223548