Abstract
Reviews from customers who have experience with the software product are an important information decision making for software product acquisition. They usually appear on ecommerce websites or any online download market. If some products have a large number of reviews, customer may not have time to read all of them. Therefore, we need to extract software information characteristic from reviews in order to provide product review representation. Customer can further use it to compare one software product attributes and other products' attributes. Software product quality from user point of view may be used to characterize each software product. ISO 9126 is widely used among software engineer to assess software quality in use. It covers software quality model and contains the quality model characteristic from user perspective: effectiveness, productivity, safety and satisfaction. We propose a methodology for software product reviews mining based on software quality ontology constructed from ISO 9126 and a rule-based classification to finally produce software quality in use scores for software product Representation. The quality in use score for each software characteristic can be used to preliminary determine the quality of the software.
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