Understanding Quality in Conceptual Modeling
IEEE Software
Proceedings of the 32nd conference on Winter simulation
Writing Effective Use Cases
Patterns for Effective Use Cases
Patterns for Effective Use Cases
Towards a Deeper Understanding of Quality in Requirements Engineering
CAiSe '95 Proceedings of the 7th International Conference on Advanced Information Systems Engineering
Research Commentary: Information Systems and Conceptual Modeling--A Research Agenda
Information Systems Research
Proceedings of the 25th International Conference on Software Engineering
Object-oriented modeling with UML: a study of developers' perceptions
Communications of the ACM - Why CS students need math
Verification and Validation for Quality of UML 2.0 Models
Verification and Validation for Quality of UML 2.0 Models
Communications of the ACM - Two decades of the language-action perspective
Improving the quality of UML models in practice
Proceedings of the 28th international conference on Software engineering
Assisting novice analysts in developing quality conceptual models with UML
Communications of the ACM - Services science
Assessing the quality of use case descriptions
Software Quality Control
Supporting use case based requirements engineering
Information and Software Technology
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Capturing and representing information systems requirements using quality artifacts is an important step in successful systems development process. Better quality artifacts in the early stages of systems development help in early detection and correction of errors. Although UML is widely used for modeling systems requirements, it is often difficult for novice systems analysts to develop quality UML artifacts. This paper mines a set of errors frequently observed in use case models and sequence diagrams created by novice analysts, and develops propositions identifying intra- and inter-artifacts quality. The data mining tool, AlphaMiner, was used to discover dependencies as association rules between frequently committed errors. Propositions have been developed based on these dependencies identified from student projects.