conf.researchr.org / Ali Ouni
Registered user since Wed 1 May 2019
Name:Ali Ouni
Country:Canada
Affiliation:ETS Montreal, University of Quebec
Personal website: http://ouniali.github.io/
Twitter: https://twitter.com/ouniaali
Research interests:Software maintenance and evolution, software reengineering, software quality, search-based software engineering
Contributions
2023
Mining Software Repositories
ESEM
International Conference on Program Comprehension
2022
EASE
- Author of On the Identification of Third-Party Library Usage Patterns for Android Applications within the Research-track
- Author of A Hierarchical Clustering based method for Extracting Microservices from Monolithic Applications within the Research-track
- Author of On the Use of Refactoring in Security Vulnerability Fixes: An Exploratory Study on Maven Libraries within the Vision and Emerging Results Track-track
ICSE
- Session Chair of Search-Based Software Engineering 2 (part of Technical Track)
- Session Chair of Machine Learning with and for SE 6 (part of Technical Track)
- Author of How Do I Refactor This? An Empirical Study on Refactoring Trends and Topics in Stack Overflow within the Journal-First Papers-track
- Committee Member in Program Committee within the SEET - Software Engineering Education and Training-track
Mining Software Repositories
- Author of Code Review Practices for Refactoring Changes: An Empirical Study on OpenStack within the Technical Papers-track
- Author of Refactoring Debt: Myth or Reality? An Exploratory Study on the Relationship Between Technical Debt and Refactoring within the Mining Challenge-track
- Author of An Exploratory Study on Refactoring Documentation in Issues Handling within the Mining Challenge-track
2021
ASE
- Author of Towards a Smell-aware Prediction of CI Build Failures within the [Workshop] IWoR2021-track
- Author of Sentiment Analysis in Accessibility User Reviews using Machine Learning within the [Workshop] NLP-SEA-track
- Author of An Empirical Study on Code Smells Co-occurrences in Android Applications within the [Workshop] IWoR2021-track