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null; null; null (Ed.)Program slicing is a common technique to help reconstruct the path of execution a program has taken. It is beneficial for assisting developers in debugging their programs, but its usefulness depends on the slice accuracy that can be achieved, which is limited by the sources of information used in building the slice. In this paper, we demonstrate that two sources of information, namely program logs, and stack traces, previously used in isolation to build program slices, can be combined to build a program slicer capable of handling more scenarios than either method individually. We also demonstrate a sample application of our proposed slicing approach by showing how our slicer can deduce integer inputs that will recreate the detected error’s execution path.more » « less
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null (Ed.)Logging is a vital part of the software development process. Developers use program logging to monitor program execution and identify errors and anomalies. These errors may also cause uncaught exceptions and generate stack traces that help identify the point of error. Both of these sources contain information that can be matched to points in the source code, but manual log analysis is challenging for large systems that create large volumes of logs and have large codebases. In this paper, we contribute a systematic mapping study to determine the state-of-the-art tools and methods used to perform automatic log analysis and stack trace analysis and match the extracted information back to the program's source code. We analyzed 16 publications that address this issue, summarizing their strategies and goals, and we identified open research directions from this body of work.more » « less
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