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Computer Science

D-Index
43
Citations
5465
World Ranking
8120
National Ranking
3478

Overview

Marouane Kessentini is affiliated with the University of Michigan-Ann Arbor in the United States. Their main field of study is Computer Science, with a substantial focus on Information Systems, Software, and Artificial Intelligence. Their research spans a variety of subfields including Computer Networks and Communications and Computer Science Applications.

Kessentini's work is concentrated on several key topics, including:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software Engineering Techniques and Practices
  • Software System Performance and Reliability
  • Open Source Software Innovations
  • Advanced Malware Detection Techniques
  • Service-Oriented Architecture and Web Services

The scientist has authored numerous papers published in well-known academic venues. The frequent publication venues where Kessentini's work has appeared include:

  • Information and Software Technology
  • IEEE Transactions on Software Engineering
  • Deep Blue (University of Michigan)
  • Automated Software Engineering
  • arXiv (Cornell University)

Some of the recent notable papers authored by Kessentini cover a range of research topics and publication years:

  • "An Interactive and Dynamic Search-Based Approach to Software Refactoring Recommendations," 2020, IEEE Transactions on Software Engineering
  • "How we refactor and how we document it? On the use of supervised machine learning algorithms to classify refactoring documentation," 2020, Expert Systems with Applications
  • "NSGA-II as feature selection technique and AdaBoost classifier for COVID-19 prediction using patient's symptoms," 2021, Nonlinear Dynamics
  • "Considering dependencies between bug reports to improve bugs triage," 2021, Automated Software Engineering
  • "Multi-objective code reviewer recommendations: balancing expertise, availability and collaborations," 2020, Automated Software Engineering

Throughout their career, Kessentini has collaborated frequently with several co-authors. Some of the most common collaborators include:

  • Thiago Ferreira
  • Chaima Abid
  • Vahid Alizadeh
  • Ruchika Malhotra
  • Rick Kazman

Best Publications

  • Many-Objective Software Remodularization Using NSGA-III

    Wiem Mkaouer;Marouane Kessentini;Adnan Shaout;Patrice Koligheu

  • Maintainability defects detection and correction: a multi-objective approach

    Ali Ouni;Marouane Kessentini;Houari Sahraoui;Mounir Boukadoum

  • Multi-Criteria Code Refactoring Using Search-Based Software Engineering: An Industrial Case Study

    Ali Ouni;Marouane Kessentini;Houari Sahraoui;Katsuro Inoue

  • A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Detection

    Wael Kessentini;Marouane Kessentini;Houari A. Sahraoui;Slim Bechikh

  • Design Defects Detection and Correction by Example

    Marouane Kessentini;Wael Kessentini;Houari Sahraoui;Mounir Boukadoum

  • Model Transformation as an Optimization Problem

    Marouane Kessentini;Houari Sahraoui;Mounir Boukadoum

  • Search-Based Web Service Antipatterns Detection

    Ali Ouni;Marouane Kessentini;Katsuro Inoue;Mel O Cinneide

  • Recommendation system for software refactoring using innovization and interactive dynamic optimization

    Mohamed Wiem Mkaouer;Marouane Kessentini;Slim Bechikh;Kalyanmoy Deb

  • Search-based software library recommendation using multi-objective optimization

    Ali Ouni;Raula Gaikovina Kula;Marouane Kessentini;Takashi Ishio

  • Code-Smell Detection as a Bilevel Problem

    Dilan Sahin;Marouane Kessentini;Slim Bechikh;Kalyanmoy Deb

  • Search-based model transformation by example

    Marouane Kessentini;Houari Sahraoui;Mounir Boukadoum;Omar Ben Omar

  • High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III

    Mohamed Wiem Mkaouer;Marouane Kessentini;Slim Bechikh;Kalyanmoy Deb

  • Chapter Four – Preference Incorporation in Evolutionary Multiobjective Optimization: A Survey of the State-of-the-Art

    Slim Bechikh;Marouane Kessentini;Lamjed Ben Said;Khaled Ghédira

  • On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach

    Mohamed Wiem Mkaouer;Marouane Kessentini;Slim Bechikh;Mel Oź CinneźIde

  • Deviance from perfection is a better criterion than closeness to evil when identifying risky code

    Marouane Kessentini;Stéphane Vaucher;Houari Sahraoui

  • Search-based refactoring: Towards semantics preservation

    Ali Ouni;Marouane Kessentini;Houari Sahraoui;Mohamed Salah Hamdi

  • Web Service Antipatterns Detection Using Genetic Programming

    Ali Ouni;Raula Gaikovina Kula;Marouane Kessentini;Katsuro Inoue

  • Improving multi-objective code-smells correction using development history

    Ali Ouni;Marouane Kessentini;Houari Sahraoui;Katsuro Inoue

  • Many-Objective Software Remodularization using NSGA-III

    Mohamed Wiem Mkaouer;Marouane Kessentini;Adnan Shaout;Patrice Koligheu

  • A robust multi-objective approach to balance severity and importance of refactoring opportunities

    Mohamed Wiem Mkaouer;Marouane Kessentini;Mel Ó. Cinnéide;Shinpei Hayashi

  • Multi-view refactoring of class and activity diagrams using a multi-objective evolutionary algorithm

    Usman Mansoor;Marouane Kessentini;Manuel Wimmer;Kalyanmoy Deb

Frequent Co-Authors

Ali Ouni
Ali Ouni École de Technologie Supérieure
Houari Sahraoui
Houari Sahraoui University of Montreal
Manuel Wimmer
Manuel Wimmer Johannes Kepler University of Linz
Slim Bechikh
Slim Bechikh University of Nottingham
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Katsuro Inoue
Katsuro Inoue Ritsumeikan University
Federica Sarro
Federica Sarro University College London
Tim Menzies
Tim Menzies North Carolina State University
Rick Kazman
Rick Kazman University of Hawaii at Manoa
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana

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