Automatic detection of usability smells in web applications-Reference-Cited by-同舟云学术

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Automatic detection of usability smells in web applications

Published:2017-01 Issue: Volume:97 Page:129-148
ISSN:1071-5819
Container-title:International Journal of Human-Computer Studies
language:en
Short-container-title:International Journal of Human-Computer Studies

Author:

Grigera Julián,Garrido Alejandra,Rivero José Matías,Rossi Gustavo

Publisher

Elsevier BV

Subject

Hardware and Architecture,Human-Computer Interaction,General Engineering,Education,Human Factors and Ergonomics,Software

Reference44 articles.

1. Refactoring Databases: Evolutionary Database Design;Ambler,2006

2. Apaolaza, A., Harper, S. & Jay, C., 2015. Longitudinal analysis of low-level web interaction through micro behaviours. In: Proceedings of the 26th ACM Conference on Hypertext & Social Media - HT ’15. New York, New York, USA: ACM Press, pp. 337–340.

3. Atterer, R., Wnuk, M. & Schmidt, A., 2006. Knowing the user’s every move: user activity tracking for website usability evaluation and implicit interaction. In Proceedings of the 15th International Conference on World Wide Web. pp. 203–212.

4. The goal question metric approach;Basili;Encycl. Softw. Eng.,1994

5. Breslav, S., Khan, A. & Hornbæk, K., 2014. Mimic. In: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces - AVI’14. New York, New York, USA: ACM Press, pp. 245–252.

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