Synoptic: studying logged behavior with inferred models

Ivan Beschastnikh, Jenny Abrahamson, Yuriy Brun, Michael D. Ernst
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引用次数: 40

Abstract

Logging is a powerful method for capturing program activity and state during an execution. However, log inspection remains a tedious activity, with developers often piecing together what went on from multiple log lines and across many files. This paper describes Synoptic, a tool that takes logs as input and outputs a finite state machine that models the process generating the logs. The paper overviews the model inference algorithms. Then, it describes the Synoptic tool, which is designed to support a rich log exploration workflow.
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概要:用推断模型研究记录的行为
日志记录是在执行过程中捕获程序活动和状态的强大方法。然而,日志检查仍然是一项乏味的活动,开发人员经常将来自多个日志行和多个文件的内容拼凑在一起。本文描述了Synoptic,一个将日志作为输入并输出有限状态机的工具,该有限状态机对生成日志的过程进行建模。本文综述了模型推理算法。然后,介绍了synotic工具,该工具旨在支持丰富的日志勘探工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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