Tuning of machine learning algorithms for automatic bug assignment

Tuning of machine learning algorithms for automatic bug assignment

In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or total automation of this task would have a positive economic impact on many software projects. This thesis introduces a systematic four-ste...

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Bibliographic Details
Main Author: Artchounin, Daniel
Format: Others
Language:English
Published: Linköpings universitet, Programvara och system 2017
Subjects:
bug triage
bug assignment
bug mining
bug report
activity-based approach
issue tracking
bug repository
bug tracker
pre-processing
feature extraction
feature selection
tuning
model selection
hyper-parameter optimization
text mining
text classification
classifier
supervised learning
machine learning
information retrieval
bugzilla
eclipse jdt
mozilla firefox
open source software
proprietary project
accuracy
mean reciprocal rank
software development
software maintenance
software engineering
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230

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