World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
6155
World Ranking
9360
National Ranking
370

Overview

Ali Ouni is a researcher affiliated with the École de Technologie Supérieure in Canada. The primary focus of their work lies within the domain of Computer Science, with numerous contributions across various subfields and topics related to the discipline.

Their research spans multiple specialized areas within Computer Science, including:

  • Information Systems
  • Software
  • Computer Networks and Communications
  • Computer Science Applications
  • Artificial Intelligence

Ouni's work frequently targets software engineering and related concerns, with main topics covering:

  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Software Engineering Techniques and Practices
  • Software Testing and Debugging Techniques
  • Open Source Software Innovations
  • Advanced Malware Detection Techniques

Regarding publication venues, Ali Ouni has contributed extensively to a diverse set of platforms, including:

  • arXiv (Cornell University)
  • Empirical Software Engineering
  • Information and Software Technology
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)

Among the recent research papers authored by or involving Ali Ouni are:

  • Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting, 2020, Energies
  • Deep reinforcement learning for traffic signal control with consistent state and reward design approach, 2023, Knowledge-Based Systems
  • Test Smell Detection Tools: A Systematic Mapping Study, 2021, Evaluation and Assessment in Software Engineering
  • On the distribution of test smells in open source android applications: An exploratory study, 2020, Espace ÉTS (ETS)
  • An Interactive and Dynamic Search-Based Approach to Software Refactoring Recommendations, 2020, IEEE Transactions on Software Engineering

Their collaborative network includes several frequent co-authors:

  • Mohamed Wiem Mkaouer
  • Eman Abdullah AlOmar
  • Christian D. Newman
  • Anthony Peruma
  • Moataz Chouchen

Best Publications

  • Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

    Salah Bouktif;Ali Fiaz;Ali Ouni;Mohamed Adel Serhani

  • Do developers update their library dependencies

    Raula Gaikovina Kula;Daniel M. German;Ali Ouni;Ali Ouni;Takashi Ishio

  • Many-Objective Software Remodularization Using NSGA-III

    Wiem Mkaouer;Marouane Kessentini;Adnan Shaout;Patrice Koligheu

  • Multi-Sequence LSTM-RNN Deep Learning and Metaheuristics for Electric Load Forecasting

    Salah Bouktif;Ali Fiaz;Ali Ouni;Mohamed Adel Serhani

  • 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

  • Search-Based Web Service Antipatterns Detection

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

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

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

  • tsDetect: an open source test smells detection tool

    Anthony Peruma;Khalid Almalki;Christian D. Newman;Mohamed Wiem Mkaouer

  • Search-Based Peer Reviewers Recommendation in Modern Code Review

    Ali Ouni;Raula Gaikovina Kula;Katsuro Inoue

  • 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

  • MORE: A multi-objective refactoring recommendation approach to introducing design patterns and fixing code smells

    Ali Ouni;Ali Ouni;Marouane Kessentini;Mel Ó Cinnéide;Houari A. Sahraoui

  • Test smell detection tools: A systematic mapping study

    Wajdi Aljedaani;Anthony Peruma;Ahmed Aljohani;Mazen Alotaibi

  • The use of development history in software refactoring using a multi-objective evolutionary algorithm

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

  • Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting

    Salah Bouktif;Ali Fiaz;Ali Ouni;Mohamed Adel Serhani

  • Search-Based Refactoring Using Recorded Code Changes

    A. Ouni;M. Kessentini;H. Sahraoui

  • On the distribution of test smells in open source Android applications: an exploratory study

    Anthony Peruma;Khalid Almalki;Christian D. Newman;Mohamed Wiem Mkaouer

Frequent Co-Authors

Marouane Kessentini
Marouane Kessentini University of Michigan–Ann Arbor
Katsuro Inoue
Katsuro Inoue Ritsumeikan University
Houari Sahraoui
Houari Sahraoui University of Montreal
Slim Bechikh
Slim Bechikh University of Nottingham
Kalyanmoy Deb
Kalyanmoy Deb Michigan State University
Daniel M. German
Daniel M. German University of Victoria
Fabio Palomba
Fabio Palomba University of Salerno
Manuel Wimmer
Manuel Wimmer Johannes Kepler University of Linz
David Lo
David Lo Singapore Management University
Kenichi Matsumoto
Kenichi Matsumoto Nara Institute of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science does not have to follow a traditional, on-campus path. Many students now opt for flexible, online learning options that let them balance their studies with work or family commitments. A fast track computer science degree can be ideal for those seeking to enter the workforce quickly or make a swift career change.

Computer Science skills also open doors to related fields. For example, an environmental engineering online degree merges technical know-how with environmental problem-solving—a growing sector in today’s economy. Those interested in design, manufacturing, or robotics should consider a mechanical engineering degree online cost comparison to find affordable programs that fit their goals.

Additionally, a solid foundation in math and logic from computer science is highly relevant for anyone pursuing online physics degrees. Broadening your skills through these online degree pathways can unlock a wide range of rewarding career opportunities across technology, engineering, and science industries.

Best Scientists Citing Ali Ouni

Trending Scientists

Recently Published Articles