NDLI: Data collection and analysis for the reliability prediction and estimation of a safety critical system using AIRS

Content Provider	IEEE Xplore Digital Library
Author	Chitra, S. Thiagarajan, K. Rajaram, M.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., M. Kumarasamy Coll. of Eng., Karur (Chitra, S.) \|\| Dept. Electr. & Electron. Eng., Thandhai Perriyar Gov. Inst. of Technol., Vellore (Rajaram, M.) \|\| Dept. of Math., Rajalakshmi Eng. Coll., Chennai (Thiagarajan, K.)
Abstract	Software is an essential part of many critical and non-critical applications, and virtually any industry is dependent on computers for their basic functioning. Techniques to measure and ensure reliability of hardware have seen rapid advances, leaving software as the bottleneck in achieving overall system reliability. Hence there rises a situation for the developers to develop high quality software. Having that in mind it is necessary to provide the reliability of the software to the developers before it is shipped. This can be achieved based on immune system. The immune system classifies the corrected data and error, also the error date are further classified into four different data sets. Then the error rate is measured from the data sets. This will produce high quality, reliable results over a wide variety of problems compared to a range of other approaches, without the need of expert fine-tuning.
Starting Page	1
Ending Page	7
File Size	3664025
Page Count	7
File Format	PDF
ISBN	9781424435944
DOI	10.1109/ICCCNET.2008.4787675
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Air safety Data analysis software reliability growth models Application software Software Failure Rate Artificial Recognition Balls Operating systems Software quality Computer industry Artificial Immune Recognition System Hardware Error correction Software measurement Reliability Immune system
Content Type	Text
Resource Type	Article

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