Mining Software Quality from Software Reviews: Research Trends and Open Issues

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-31 Number-2
Year of Publication : 2016
Authors : Issa Atoum, Ahmed Otoom
  10.14445/22312803/IJCTT-V31P114

MLA

Issa Atoum, Ahmed Otoom "Mining Software Quality from Software Reviews: Research Trends and Open Issues". International Journal of Computer Trends and Technology (IJCTT) V31(2):74-83, January 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Software review text fragments have considerably valuable information about users‟ experience. It includes a huge set of properties including the software quality. Opinion mining or sentiment analysis is concerned with analyzing textual user judgments. The application of sentiment analysis on software reviews can find a quantitative value that represents software quality. Although many software quality methods are proposed they are considered difficult to customize and many of them are limited. This article investigates the application of opinion mining as an approach to extract software quality properties. We found that the major issues of software reviews mining using sentiment analysis are due to software lifecycle and the diverse users and teams.

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Keywords
Software Quality-in-use, Clustering, Topic Models, Opinion Mining Tasks.