  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.
