Web Application Reliability Assessment using Error and Workload Data Obtained from Server Error and Access Logs
作者： Laxmi ShankerMaurya , Anil Kumar Malviya
DOI: 10.5120/17081-7530
关键词:
摘要: reliability assessment had been a major issue among the researchers in recent past. Two important characteristics to assess software are MTBF (Mean time between failure) and number of errors. In this paper, we capture extract workload failure data from server logs web application named College Excel. Classify based on four parameters. Calculating cumulative values parameters error for 30 days plot graphs verify relationship different We also calculate Excel using Nelson model (one most widely used input domain model) (mean units.
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