An Automatic Approach to Validating Log Levels in Java

A log statement is used to record important runtime behavior of software systems for diverse reasons, which is inevitable to develop most of the software systems. However, developers do not tend to deeply consider an appropriate log level in their source code. In order to address the issues, this pa...

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Bibliographic Details
Main Authors: Kim, Taeyoung, Kim, Suntae, Yoo, Cheol-Jung, Cho, Soohwan, Park, Sooyong
Format: Conference Proceeding
Language:English
Subjects:
classification model
Feature extraction
Frequency measurement
Java
log feature vector
log level
log statement
Machine learning
Semantics
Software systems
Syntactics
Word2Vec
Online Access:Request full text
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Summary:A log statement is used to record important runtime behavior of software systems for diverse reasons, which is inevitable to develop most of the software systems. However, developers do not tend to deeply consider an appropriate log level in their source code. In order to address the issues, this paper proposes an automatic approach to validating log levels in Java in consideration of the syntactic as well as semantic features. We first build up the Word2Vec model and generate semantic and syntactic log feature vectors, then train the machine learning classifiers to automatically validate the log levels. For the evaluation, we collected six open source projects of the message-oriented middleware domain, and obtained the 88% precision and the 87% recall respectively.
ISSN:2640-0715
DOI:10.1109/APSEC.2018.00078