Evaluating Software Complexity Measures
IEEE Transactions on Software Engineering
Methodology for Validating Software Metrics
IEEE Transactions on Software Engineering
Towards the prediction of development effort for hypermedia applications
Proceedings of the 12th ACM conference on Hypertext and Hypermedia
Designing Web Usability: The Practice of Simplicity
Designing Web Usability: The Practice of Simplicity
ACM Computing Surveys (CSUR)
Web Metrics Estimating Design and Authoring Effort
IEEE MultiMedia
Measuring Web Application Quality with WebQEM
IEEE MultiMedia
Towards a Framework for Software Measurement Validation
IEEE Transactions on Software Engineering
Web Development Effort Estimation Using Analogy
ASWEC '00 Proceedings of the 2000 Australian Software Engineering Conference
A Comparison of Development Effort Estimation Techniques for Web Hypermedia Applications
METRICS '02 Proceedings of the 8th International Symposium on Software Metrics
Quality in Use: Incorporating Human Factors into the Software Engineering Lifecycle
ISESS '97 Proceedings of the 3rd International Software Engineering Standards Symposium (ISESS '97)
A research project with important practitioner-oriented findings
Communications of the ACM
E-commerce system quality assessment using a model based on ISO 9126 and Belief Networks
Software Quality Control
ICWE'03 Proceedings of the 2003 international conference on Web engineering
Towards a taxonomy of hypermedia and web application size metrics
ICWE'05 Proceedings of the 5th international conference on Web Engineering
Addressing misalignment between information security metrics and business-driven security objectives
Proceedings of the 6th International Workshop on Security Measurements and Metrics
Experiences with service-oriented middleware for dynamic instrumentation of enterprise DRE systems
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part II
Robust extreme learning machine
Neurocomputing
Hi-index | 0.01 |
User-perceived software quality is subjective, and thus difficult to be measured. Its importance however in user-centric, web-based systems such as e-commerce systems is huge. How can one measure the subjective? Metrics are one of the most powerful weapons in the arsenal for measuring quality. For such a weapon to be put in good use, guidelines for use should be available. In this paper we present a model based on meta-metrics that suggests what metrics should be used in what way and how, when evaluating an e-commerce system.