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In recent years, studies have been dedicated mainly in the analysis, of crashes in real-world related to large-scale software systems. A crash in terms of computing can be termed as a computer program such as a software application that stops functioning properly. Software crash is a serious problem in production environment. When crash happens, the crash report with the stack trace of software at time of crash is sent to the developer team. Software development team may receive hundreds of stack traces from all deployment sites and many stack traces may be due to same problem. If the developer starts analyzing each trace, it may take a longer duration of time and redundancy many happen in terms of two developers fixing the same problem. This motivates us to present the solution to analyze the stack traces and find the important functions responsible for crash and rank them, so that development resources can be optimized. In this paper we have proposed the solution to solve the problem by developing Software CrashLocator.
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