Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
Model Driven Architecture: Applying MDA to Enterprise Computing
Model Driven Architecture: Applying MDA to Enterprise Computing
MDA Explained: The Model Driven Architecture: Practice and Promise
MDA Explained: The Model Driven Architecture: Practice and Promise
Metrics for Managing Customer View of Software Quality
METRICS '03 Proceedings of the 9th International Symposium on Software Metrics
MDA Distilled
A model transformation framework for the automated building of performance models from UML models
Proceedings of the 5th international workshop on Software and performance
Early estimation of software quality using in-process testing metrics: a controlled case study
3-WoSQ Proceedings of the third workshop on Software quality
Applying MDA to the development of data warehouses
Proceedings of the 8th ACM international workshop on Data warehousing and OLAP
Value-Based Software Engineering
Value-Based Software Engineering
Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering
Where Is the Proof? - A Review of Experiences from Applying MDE in Industry
ECMDA-FA '08 Proceedings of the 4th European conference on Model Driven Architecture: Foundations and Applications
A systematic review of the use of requirements engineering techniques in model-driven development
MODELS'10 Proceedings of the 13th international conference on Model driven engineering languages and systems: Part II
What is CIM: an information system perspective
ADBIS'09 Proceedings of the 13th East European conference on Advances in Databases and Information Systems
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Decision makers in safety-critical domains rely on data from dependable information systems. Traditional time- and safety-critical information systems, such as traffic management systems, have been using proprietary point-to-point data links, which are very dependable, but also time-consuming and costly to change due to the need to manually adapt a multitude of deployed systems. In this paper we introduce a model-driven architecture (MDA) system approach that describes explicitly stakeholder quality requirements on dependable data links between systems for decision support and generates new system versions that implement these requirements. The MDA approach is expected to a) improve the quality (assurance) of system requirements; b) support more explicit feedback on the quality of intermediate models during systems development; and c) provide better auditing capabilities of the systems development process. Based on an industry case study we describe the MDA concept of the system, the development process, and how software quality can be measured and improved.