Designing Data-Intensive Web Applications
Designing Data-Intensive Web Applications
Queue - Compliance
Queue - Compliance
Model-Driven Dashboards for Business Performance Reporting
EDOC '06 Proceedings of the 10th IEEE International Enterprise Distributed Object Computing Conference
Information Dashboard Design: The Effective Visual Communication of Data
Information Dashboard Design: The Effective Visual Communication of Data
The BT Risk Cockpit --- a visual approach to ORM
BT Technology Journal
Seeing is believing: designing visualizations for managing risk and compliance
IBM Systems Journal
Exploring User Preference for the Dashboard Menu Design
HICSS '09 Proceedings of the 42nd Hawaii International Conference on System Sciences
Tailoring a model-driven Quality-of-Service DSL for various stakeholders
MISE '09 Proceedings of the 2009 ICSE Workshop on Modeling in Software Engineering
Business Compliance Governance in Service-Oriented Architectures
AINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications
Modeling control objectives for business process compliance
BPM'07 Proceedings of the 5th international conference on Business process management
Analyzing compliance of service-based business processes for root-cause analysis and prediction
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Service licensing: conceptualization, formalization, and expression
Service Oriented Computing and Applications
Compliance evaluation featuring heat maps (CE-HM): a meta-modeling-based approach
CAiSE'12 Proceedings of the 24th international conference on Advanced Information Systems Engineering
Proceedings of the 16th European Conference on Pattern Languages of Programs
Service Oriented Computing and Applications
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Assessing whether a company's business practices conform to laws and regulations and follow standards, i.e., compliance governance, is a complex and costly task. Few software tools aiding compliance governance exist; however, they typically do not address the needs of who is in charge of assessing and controlling compliance, that is, compliance experts and auditors. We advocate the use of compliance governance dashboards, whose design and implementation is however challenging for these reasons: (i) it is fundamental to identify the right level of abstraction for the information to be shown; (ii) it is not trivial to visualize distinct analysis perspectives; and (iii) it is difficult to manage the large amount of involved concepts, instruments, and data. This paper shows how to address these issues, which concepts and models underlie the problem, and, how IT can effectively support compliance analysis in SOAs.