Due to the increasing interest in Web quality, usability and user experience, quality models and frameworks have become a prominent research area as a first step in evaluating them. The ISO 25010/25012 standards were recently issued which specify and evaluate software and data quality requirements. In this work we propose extending the ISO 25010 standard to incorporate new characteristics and concepts into a flexible modeling framework. Particularly, we focus on including information quality, and learnability in use characteristics, and actual usability and user experience concepts into the modeling framework. The resulting models and framework contribute towards a flexible, integrated approach to evaluate Web applications. The operability and particularly the learnability of a real Web application are evaluated using the framework.

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Abstract. Online reviews that manifest user feedback have become an available resource for eliciting requirements to design future releases. However, due to complex and diverse opinion expressions, it is challenging to utilize automated analysis for deriving constructive feedback from these reviews. What's more, determining important changes in requirements based on user feedback is also challenging. To address these two problems, this paper proposes a systematic approach for transforming online reviews to evolutionary requirements. According to the characteristics of reviews, we first adapt opinion mining techniques to automatically extract opinion expressions about common software features. To provide meaningful feedback, we then present an optimized method of clustering opinion expressions in terms of a macro network topology. Based on this feedback, we finally combine user satisfaction analysis with the inherent economic attributes associated with the software's revenue to determine evolutionary requirements. Experimental results show that our approach achieves good performance for obtaining constructive feedback even with large amounts of review data, and furthermore discovers the evolutionary requirements that tend to be ignored by developers from a technology perspective.

Any organization that develops software strives to improve the quality of its products. To do this first requires an understanding of the quality of the current product version. Then, by iteratively making changes, the software can be improved with subsequent versions. But this must be done in a systematic and methodical way, and, for this purpose, we have developed a specific strategy called SIQinU (Strategy for understanding and Improving Quality in Use). SIQinU recognizes problems of quality in use through evaluation of a real system-in-use situation and proposes product improvements by understanding and making changes to the product’s attributes. Then, reevaluating quality in use of the new version, improvement gains can be gauged along with the changes that led to those improvements. SIQinU aligns with GOCAME (Goal-Oriented Context-Aware Measurement and Evaluation), a multipurpose generic strategy previously developed for measurement and evaluation, which utilizes a conceptual framework (with ontological base), a process, and methods and tools. Since defining SIQinU relies on numerous phase and activity definitions, in this paper, we model different process views, for example, taking into account activities, interdependencies, artifacts, and roles, while illustrating them with excerpts from a real-case study.

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