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Abstract

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Bonfring International Journal of Software Engineering and Soft Computing

Online ISSN: 2277-5099 Print ISSN: 2250-1045 Frequency: 4 Issues/Year

Impact Factor: 0.375 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)

Injecting Autonomic Computing into Legacy Systems: A Survey

Sangeeta P. Sangani and Dr.S.F. Rodd


Abstract
In the modern era of technology, many software systems are legacy software systems that have become too expensive to replace and too costly to re-engineer. Considering the need of improving the business values of such systems is the need to do so in the simplest, cost-effective, and least risky way available. There are a number of approaches used by software engineers to mitigate legacy systems by inserting new computing techniques. A relatively recent technique in software engineering concentrate on implementing self-managing attributes, like autonomic behavior in such legacy software and systems of applications in order to avoid the need for human monitoring and intervention. In this paper survey of different techniques and frameworks for building autonomous system have been presented. These techniques considerably reduces the cost of maintaining legacy systems.
Keywords Autonomic Computing, Legacy System, Self-Management.
Volume 6
Issue Special Issue on Advances in Computer Science and Engineering and Workshop on Big Data Analytics Editors: Dr.S.B. Kulkarni, Dr.U.P. Kulkarni, Dr.S.M. Joshi and J.V. Vadavi
Pages 230-233
Issue Date October , 2016
Full Text
Open Access OA

This Journal is an Open Access Journal to Facilitate the Research Community

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