Abstract

Software application becomes critical tool in a business operation today. Generally there is no management staff in the business operation can tolerate the software application downtime beyond the Service Level Agreement (SLA). The time duration spent on root cause analysis activity of software application error carries crucial impact to the business transaction. This is because business operation cannot afford if the software application downtime gets prolonged. Especially an enterprise level of software application is involving multiple tiers. There will be at least one or even more log files at each tier. Of course the root cause analysis activity will easily get prolonged as more than one log file are required for analysis activity. The research is not only to mitigate the time duration prolonging on root cause analysis activity. It is also to increase the accuracy of identifying the actual root cause during analysis activity. This is a necessity to have a proposed logic model sitting at the logic tier. The logic model can analyze the required log files, and then identify the root cause without creating any interruption to the existing software application executing in the production environment. Therefore, this is the strong reason for a Prescriptive Analytical Logic Model (PAL) incorporated with Analytic Hierarchy Process (AHP) proposed. The proposed logic model will contribute a new knowledge in the area of log file analysis. It aligns with the two research objectives, (1) to shorten the total time spent on root cause analysis activity by adopting the decision making process and technique of AHP, (2) to reduce the frequency of attempt by increasing the accuracy of identifying the actual root cause. Furthermore, this proposed logic model contributes the new knowledge to close the existing knowledge gap of software application root cause analysis using AHP.

Highlights

  • Software can be generally categorized into either (i) mobile application or (ii) software application

  • With Analytic Hierarchy Process (AHP) process, the proposed Prescriptive Analytical Logic Model (PAL) under the complex analysis area will conduct the important actions on filtering errors and identify which is the crucial error to be fixed, and later it helps to identify which is the preferred resolution action to be applied on the crucial error to improve effectiveness on resolving the software application error

  • By depending software application log file alone is not sufficient to conduct software application root cause analysis whenever error is occurred beyond the software application layer

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Summary

INTRODUCTION

Software can be generally categorized into either (i) mobile application or (ii) software application. Business transactions, it has lower toleration for downtime expected by the company management This was clearly supported by Labels: Data Center, Downtime, www.evolven.com (2014), and software application downtime can cause the business operation ceased. At most of the time, collecting and filtering valid input information from log files for root cause analysis is time consuming. What is the appropriate category for logging the event information, and how to categorize the difference of error, debug, and fatal that should be fetched as the input information to the root cause analysis activity. The event logging must mitigate the performance impact created to the software application These mentioned concerns had been highlighted by Loggly (2017) and Panda, A (2011). It is crucial to look for an efficient method to reduce the prolonging time at the root cause analysis activity

SIGNIFICANT OFT STUDY
The Causes
The Problem
RESEARCH OBJECTIVE
Literature Review
LITERATURE REVIEW
PROPOSED LOGIC MODEL DESIGN
CONCLUSION
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