Software Application Logging Aspects to Consider by Implementing Knowledge Management

被引:4
|
作者
Davidekova, Monika [1 ,2 ]
Ml, Michal Gregus [3 ]
机构
[1] FEI STU, Inst Telecommun, Bratislava, Slovakia
[2] Vysoka Skola Manazmentu, Bratislava, Slovakia
[3] Comenius Univ, Fac Management, Dept Informat Syst, Bratislava, Slovakia
关键词
data; information; knowledge; logging; big data; knowledge management;
D O I
10.1109/OBD.2016.22
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Standard workday today includes use of software applications that enable faster task processing and can do so for several tasks in parallel for us. Still, also the best applications can stop working or may not work correctly. For investigating such unintended malfunctioning of a software application, logging is very important. By examining application logs, software developers can find the cause and provide an update or patch with fixed bugs. On the other hand, logging can provide enormous amount of data that can flood the memory. That is why it is important not to log everything. The decision about logging (how to do logging of what data) is done during the software development phase. This paper describes research that has been focused on logging strategies in form of case studies of software development projects and in conclusion we give some guidelines for future decisions on logging for software development teams that may lead to logging improvement.
引用
收藏
页码:102 / 107
页数:6
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