Software metrics: establishing a company-wide program
Software metrics: establishing a company-wide program
On the complexity of propositional knowledge base revision, updates, and counterfactuals
Artificial Intelligence
Secrets of software quality: 40 innovations from IBM
Secrets of software quality: 40 innovations from IBM
The capability maturity model: guidelines for improving the software process
The capability maturity model: guidelines for improving the software process
Usability Engineering
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Revisions of Knowledge Systems Using Epistemic Entrenchment
Proceedings of the 2nd Conference on Theoretical Aspects of Reasoning about Knowledge
Software Quality: The User's Point of View
Software Quality and Productivity: Theory, practice and training
On technological issues affecting online learners' behavior
Journal of Computational Methods in Sciences and Engineering - Intelligent Systems and Knowledge Management
Behavioral economics in software quality engineering
Empirical Software Engineering
A new way to determine external quality of ERP software
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
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This paper presents a methodology for estimating users' opinion of the quality of a software product. Users' opinion changes with time as they progressively become more acquainted with the software product. In this paper, we study the dynamics of users' opinion and offer a method for assessing users' final perception, based on measurements in the early stages of product release. The paper also presents methods for collecting users' opinion and from the derived data, shows how their initial belief state for the quality of the product is formed. It adapts aspects of Belief Revision theory in order to present a way of estimating users' opinion, subsequently formed after their opinion revisions. This estimation is achieved by using the initial measurements and without having to conduct surveys frequently. It reports the correlation that users tend to infer among quality characteristics and represents this correlation through a determination of a set of constraints between the scores of each quality characteristic. Finally, this paper presents a fast and automated way of forming users' new belief state for the quality of a product after examining their opinion revisions.