Abstract: Omnispective Analysis and Reasoning: A framework for managing intellectual concerns in scientific workflows

This paper will be presented at ISEC 2012.

Published in: ISEC ’12 Proceedings of the 5th India Software Engineering Conference

doi>10.1145/2134254.2134279

Author’s version of the full paper is available in ANU Research Repository.

Omnispective Analysis and Reasoning: A framework for managing intellectual concerns in scientific workflows

Srinivas Chemboli	Clive Boughton
Research School of Computer Science
The Australian National University

Scientific workflows are extensively used to support the management of experimental and computational research by connecting together different data sources, components and processes. However, certain issues such as the ability to check the appropriateness of the processes orchestrated, management of the context of workflow components and specification, and provision for robust management of intellectual concerns are not addressed adequately. Hence, it is highly desirable to add features to uplift focus from low level details to help clarify the rationale and intent behind the choices and decisions in the workflow specifications and provide a suitable level of abstraction to capture and organize intellectual concerns and map them to the workflow specification and execution semantics. In this paper, we present Omnispective Analysis and Reasoning (OAR), a novel framework for providing the above features and enhancements in scientific workflow management systems and processes. The OAR framework is aimed at supporting effective capture and reuse of intellectual concerns in workflow management.

Abstract: Omnispective Analysis and Reasoning: A framework for managing intellectual concerns in scientific workflows by Srinivas Chemboli and Clive Boughton is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

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