G
Giuliano Antoniol
Researcher at École Polytechnique de Montréal
Publications - 288
Citations - 11972
Giuliano Antoniol is an academic researcher from École Polytechnique de Montréal. The author has contributed to research in topics: Software maintenance & Software system. The author has an hindex of 54, co-authored 273 publications receiving 11010 citations. Previous affiliations of Giuliano Antoniol include École Normale Supérieure & University of Sannio.
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Journal ArticleDOI
Recovering traceability links between code and documentation
TL;DR: A probabilistic and a vector space information retrieval model is applied in two case studies to trace C++ source code onto manual pages and Java code to functional requirements to recover traceability links between source code and free text documents.
Journal ArticleDOI
Comparison and Evaluation of Clone Detection Tools
TL;DR: An experiment is presented that evaluates six clone detectors based on eight large C and Java programs (altogether almost 850 KLOC) and selects techniques that cover the whole spectrum of the state-of-the-art in clone detection.
Journal ArticleDOI
Feature Location Using Probabilistic Ranking of Methods Based on Execution Scenarios and Information Retrieval
TL;DR: The results show that the combination of experts significantly improves the effectiveness of feature location as compared to each of the experts used independently.
Proceedings ArticleDOI
Is it a bug or an enhancement?: a text-based approach to classify change requests
TL;DR: This paper investigates whether the text of the issues posted in bug tracking systems is enough to classify them into corrective maintenance and other kinds of activities and shows that alternating decision trees, naive Bayes classifiers, and logistic regression can be used to accurately distinguish bugs from other kinds.
Journal ArticleDOI
An exploratory study of the impact of antipatterns on class change- and fault-proneness
TL;DR: It is shown that, in almost all releases of the four systems, classes participating in antipatterns are more change-and fault-prone than others and size alone cannot explain the higher odds of classes with antip atterns to underwent a (fault-fixing) change than other classes.