大规模软件系统日志研究综述  

Survey on Log Research of Large Scale Software System

作　　者：廖湘科[1] 李姗姗[1] 董威[1] 贾周阳 刘晓东[1] 周书林[1] 

机构地区：[1]国防科学技术大学计算机学院,湖南长沙410073

出　　处：《软件学报》2016年第8期1934-1947,共14页Journal of Software

基　　金：国家自然科学基金(61402496);国家重点基础研究发展计划(973)(2014CB340703);腾讯高校合作项目~~

摘　　要：规范和充分的日志是良好代码质量的必要因素,也是软件故障诊断的重要手段.然而,代码的质量管理受限于大规模软件代码的高复杂程度,目前,利用日志信息进行软件故障重现和诊断的难度大、效率低.从日志特征分析、基于日志的故障诊断、日志的增强这3个方面综述了日志研究的现状.通过对几种常用的大规模开源软件的日志进行调研,发现了一些日志相关的特征和规律以及现有工具难以解决的问题.最后,对未来的研究工作进行了展望,并分析了可能面对的挑战.Standardized and sufficient log is a necessary part of good code quality, and it plays an important role in failure diagnosis as well. Code quality management, however, is restricted by the high complexity of large-scale software. Currently, it＇s difficult and inefficient to reproduce and diagnose system failure with logs. This paper surveys log-related work from three aspects including log characterization, failure diagnosis with log and log enhancement. Through detailed study on several widely-used open-source software, the paper reveals some log-related observations, along with the problems which have not been well handled by existing tools. Finally, it proposes several possible log-related work, and analyzes potential challenges.

关 键 词：系统日志 特征分析 故障诊断 日志增强 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]