Mohamed Wiem Mkaouer obtained his Ph.D. from the University of Michigan-Dearborn. He is currently an Associate Professor of Software Engineering at Rochester Institute of Technology (RIT), NY. His research interests are in the intersection of Software Engineering with Artificial Intelligence. He leads the SMILE research lab, funded by the National Science Foundation. He has over 100+ research papers with multiple distinguished papers and presentation awards. He was the recipient of the RIT GCCIS Best Emegering Researcher Award.
Interests
- Software Quality
- Systems Refactoring
- Model-driven Engineering
- Software Testing
Education
PhD in Computer and Information Science, 2016
University of Michigan
MS in Computer Science, 2010
University of Geneva (Switzerland)
BS in Computer Science, 2007
University of Tunis (Tunisia)
Latest
- Improving the prediction of continuous integration build failures using deep learning
- Refactoring for reuse: an empirical study
- Tracking bad updates in mobile apps: a search-based approach
- On the documentation of refactoring types
- An Exploratory Study on How Software Reuse is Discussed in Stack Overflow
- How do i refactor this? An empirical study on refactoring trends and topics in Stack Overflow
- SATDBailiff-mining and tracking self-admitted technical debt
- A longitudinal exploratory study on code smells in server side web applications
- A longitudinal study of the impact of refactoring in android applications
- An Empirical Study on the Impact of Refactoring on Quality Metrics in Android Applications
- Anti-patterns in Modern Code Review: Symptoms and Prevalence
- Augmenting commit classification by using fine-grained source code changes and a pre-trained deep neural language model
- BF-detector: an automated tool for CI build failure detection
- csDetector: an open source tool for community smells detection
- Finding the Needle in a Haystack: On the Automatic Identification of Accessibility User Reviews
- How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation
- Mining and Managing Big Data Refactoring for Design Improvement: Are We There Yet?
- Multi-criteria Web Services Selection: Balancing the Quality of Design and Quality of Service
- On preserving the behavior in software refactoring: A systematic mapping study
- On the classification of bug reports to improve bug localization
- On the Impact of Aesthetic Defects on the Maintainability of Mobile Graphical User Interfaces: An Empirical Study
- On the impact of Continuous Integration on refactoring practice: An exploratory study on TravisTorrent
- On the use of textual feature extraction techniques to support the automated detection of refactoring documentation
- One thousand and one stories: a large-scale survey of software refactoring
- Recommending pull request reviewers based on code changes
- Refactoring Practices in the Context of Modern Code Review: An Industrial Case Study at Xerox
- Test Smell Detection Tools: A Systematic Mapping Study
- Toward the automatic classification of self-affirmed refactoring
- WhoReview: A multi-objective search-based approach for code reviewers recommendation in modern code review
- An Exploratory Study on How Software Reuse is Discussed in Stack Overflow
- An exploratory study on the refactoring of unit test files in android applications
- AndroLib: Third-Party Software Library Recommendation for Android Applications
- Assessing the quality of mobile graphical user interfaces using multi-objective optimization
- Contextualizing rename decisions using refactorings, commit messages, and data types
- How Do Developers Refactor Code to Improve Code Reusability?
- How Does Library Migration Impact Software Quality and Comprehension? An Empirical Study
- Increasing the Trust In Refactoring Through Visualization
- Learning to detect community smells in open source software projects
- Learning to rank developers for bug report assignment
- Learning to recommend third-party library migration opportunities at the API level
- Multi-label Classification of Commit Messages using Transfer Learning
- On the detection of community smells using genetic programming-based ensemble classifier chain
- On the Diffusion and Impact of Code Smells in Web Applications
- On the generation, structure, and semantics of grammar patterns in source code identifiers
- On the prediction of continuous integration build failures using search-based software engineering
- On the Relationship Between Developer Experience and Refactoring: An Exploratory Study and Preliminary Results
- Predicting continuous integration build failures using evolutionary search
- Recommending peer reviewers in modern code review: a multi-objective search-based approach
- tsDetect: an open source test smells detection tool
- Web Service API Anti-patterns Detection as a Multi-label Learning Problem
- Can refactoring be self-affirmed? an exploratory study on how developers document their refactoring activities in commit messages
- A Multi-label Active Learning Approach for Mobile App User Review Classification
- Comparison of block-based and hybrid-based environments in transferring programming skills to text-based environments
- Contextualizing rename decisions using refactorings and commit messages
- Learning to rank faulty source files for dependent bug reports
- MigrationMiner: An Automated Detection Tool of Third-Party Java Library Migration at the Method Level
- On the classification of software change messages using multi-label active learning
- On the distribution of test smells in open source android applications: An exploratory study
- On the impact of refactoring on the relationship between quality attributes and design metrics
- On the use of information retrieval to automate the detection of third-party java library migration at the method level
- PRICE: Detection of Performance Regression Introducing Code Changes Using Static and Dynamic Metrics
- Towards Automated Microservices Extraction Using Muti-objective Evolutionary Search
- Web service API recommendation for automated mashup creation using multi-objective evolutionary search
- A study on developer perception of transformation languages for refactoring
- An empirical investigation of how and why developers rename identifiers
- An interactive and dynamic search-based approach to software refactoring recommendations
- Automating the detection of third-party Java library migration at the function level.
- A robust multi-objective approach to balance severity and importance of refactoring opportunities
- CATE: concolic Android testing using Java pathfinder for Android applications
- M-perm: A lightweight detector for android permission gaps
- On the Use of Smelly Examples to Detect Code Smells in JavaScript
- P-lint: a permission smell detector for android applications
- PLAIN: PLugin for predicting the usAbility of Mobile User INterface.
- Towards Prioritizing Documentation Effort
- Who added that permission to my app? an analysis of developer permission changes in open source android apps
- Interactive code smells detection: An initial investigation
- On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach
- Slim Bechikh, Mel Ó Cinnéide, and Kalyanmoy Deb. On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach
- A robust multi-objective approach for software refactoring under uncertainty
- High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III
- Model transformation using multiobjective optimization
- Recommendation system for software refactoring using innovization and interactive dynamic optimization
- Software refactoring under uncertainty: a robust multi-objective approach
- Preference-based multi-objective software modelling