ECLogger: Cross-Project Catch-Block Logging Prediction Using Ensemble of Classifiers

ECLogger: Cross-Project Catch-Block Logging Prediction Using Ensemble of Classifiers

Background: Software developers insert log statements in the source code to record program execution information. However, optimizing the number of log statements in the source code is challenging. Machine learning based within-project logging prediction tools, proposed in previous studies, may not...

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Bibliographic Details
Main Authors: Sangeeta Lal, Neetu Sardana, Ashish Sureka
Format: Article
Language:English
Published: Wroclaw University of Science and Technology 2017-01-01
Series:e-Informatica Software Engineering Journal
Subjects:
Classification
Debugging
Ensemble Logging
Machine Learning
Source Code Analysis
Tracing
Online Access:http://www.e-informatyka.pl/attach/e-Informatica_-_Volume_11/eInformatica2017Art1.pdf

Internet

http://www.e-informatyka.pl/attach/e-Informatica_-_Volume_11/eInformatica2017Art1.pdf

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