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International Journal of Applied Research
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

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International Journal of Applied Research

Vol. 3, Issue 2, Part G (2017)

Cost benefit and availability analysis for customized application S/W for insurance sector

Author(s)
Navneet Malik, Dr. Naresh Kumar and Dr. Pardeep Goel
Abstract
This paper discusses the Behavioral and Availability Analysis of Customized Application Software against the standard ERP for the insurance sector. This application software contains different modules such as policy management, claim management, customer management and profit management. Customized Application software can work in full working and reduced working capacity. Reduced working capacity means from the given set of modules one or more than one may not be working as expected. This is a single Application Software model which can work in reduced state which means the software has old features and needs adaptive, corrective and preventive maintenance to reach the full capacity working state.So two types of failures state for application software are there; partially failed and completely failed states. This model consists of single Application Software ‘A’. It can work in reduced capacity. The Application Software ‘A’ can fail partially and hence can be in up state. Partially failed state means any module is not working and totally failed state which means that customized application software is not working due to multiple module failures or hardware failures. The module failure can be due to S/W or H/W. The application software can work with reduced capacity in a partially failed state. There is a single maintenance engineer available for both types of failures. This customized application software system is discussed for fixed state environments. The performance of system can be measured by Regenerative Point Graphical Technique (RPGT).
Pages: 428-435  |  726 Views  16 Downloads
How to cite this article:
Navneet Malik, Dr. Naresh Kumar, Dr. Pardeep Goel. Cost benefit and availability analysis for customized application S/W for insurance sector. Int J Appl Res 2017;3(2):428-435.
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