Abstract
There are many causes would lead to the software application crashes or unstable stage. In the event that this circumstance happens, the software applications will never able to log error event correctly into their error log files. Hence, if the root cause analysis is solely depending on software application error log files, it is insufficient to identify the actual error accurately. This is the good opportunity and potential to introduce Prescriptive Analytical Logic Model (PAL) under the proposed methodology. In summary, the contributions of PAL under the proposed methodology are: (1) Literature review indicates that there is “future work” of Murínová, J (2015) in the log file analysis to enable better comparison and troubleshooting capabilities. This is a potential area where the log file analysis technique can be incorporated with AHP approach. (2) Since there is no published article showing that AHP had been applied to software application error analysis, and therefore the proposed research is to fill up the “knowledge gap” in this area.
Highlights
Software is being used by human widely in today’s modern world
The main reasons to cause the motivation of this paper are shown as follows: 1. With the software application error log file alone, it may not be adequate for analysis to identify the root cause of software application error if the cause is outside the software application boundary
The strategy is to propose an algorithm that is sitting at the logic tier and conduct the root cause analysis without creating any interference to the existing software application execution
Summary
Abstract—There are many causes would lead to the software application crashes or unstable stage. If the root cause analysis is solely depending on software application error log files, it is insufficient to identify the actual error accurately This is the good opportunity and potential to introduce Prescriptive Analytical Logic Model (PAL) under the proposed methodology. The contributions of PAL under the proposed methodology are: (1) Literature review indicates that there is “future work” of Murínová, J (2015) in the log file analysis to enable better comparison and troubleshooting capabilities. This is a potential area where the log file analysis technique can be incorporated with AHP approach.
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More From: European Journal of Electrical Engineering and Computer Science
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