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Compliance Management Model for Interoperability Faults Towards Governance Enhancement Technology

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 285))

Abstract

The objective of the research is to propose a software compliance management model for interoperability faults of regulatory non-compliances in IT industries. The enterprise software is exercised to minimize the risks on different types of non-compliances. The framework activities and procedures are kept in adherence to the guidelines and regulatory laws of the information related business or industries. The entities that are non-adherence to the standards and failed to follow the enumerated regulations are analyzed for the non-compliances. The non-compliances in procedure-oriented processes and coding are mapped with the risks associated with severity and impact on the chosen applications. The interoperability fault is tolerated by the customized rules based on criticality of the applications. The conformance to the requirement specifications pertaining to process, people, product and its quality are verified as a distributed system to manage the non-compliances. The existing information governance can be improvised by the proposed GET technique.

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Acknowledgments

The first authors’ research is partially funded by the Bharathiar University under University Research Fellowship. The authors would like to thank the unknown reviewers for valuable suggestions that improved the presentation of the paper considerably.

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Correspondence to Kanchana Natarajan .

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Natarajan, K., Subramani, S. (2014). Compliance Management Model for Interoperability Faults Towards Governance Enhancement Technology. In: Silhavy, R., Senkerik, R., Oplatkova, Z., Silhavy, P., Prokopova, Z. (eds) Modern Trends and Techniques in Computer Science. Advances in Intelligent Systems and Computing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-06740-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-06740-7_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06739-1

  • Online ISBN: 978-3-319-06740-7

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