World's Best Scientists 2026 revealed!

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Computer Science

D-Index
37
Citations
6500
World Ranking
10668
National Ranking
534

Overview

Walid Maalej is affiliated with Universität Hamburg in Germany and specializes in the field of Computer Science. Their research spans multiple subfields including Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, and Management Information Systems.

Maalej's work primarily focuses on areas within Software Engineering Research. Key topics include Software Engineering Techniques and Practices, Software System Performance and Reliability, Open Source Software Innovations, Quality and Supply Management, Advanced Software Engineering Methodologies, and Hate Speech and Cyberbullying Detection.

Among their recent papers are:

  • Empirical research on requirements quality: a systematic mapping study, 2022, Requirements Engineering
  • Content Analyses of User Comments in Journalism: A Systematic Literature Review Spanning Communication Studies and Computer Science, 2021, Digital Journalism
  • Generative AI in Software Engineering Must Be Human-Centered: The Copenhagen Manifesto, 2024, Journal of Systems and Software
  • Tailoring Requirements Engineering for Responsible AI, 2023, Computer
  • Efficient, Uncertainty-based Moderation of Neural Networks Text Classifiers, 2022, Findings of the Association for Computational Linguistics: ACL 2022

Maalej has collaborated frequently with several co-authors:

  • Lloyd Montgomery
  • Abir Bouraffa
  • Davide Fucci
  • Lisa Scholz
  • Tim Puhlfürß

Their publications appear predominantly in the following venues:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Requirements Engineering
  • ACM Transactions on Software Engineering and Methodology
  • IEEE Software

Best Publications

  • How Do Users Like This Feature? A Fine Grained Sentiment Analysis of App Reviews

    Emitza Guzman;Walid Maalej

  • User feedback in the appstore: An empirical study

    Dennis Pagano;Walid Maalej

  • Bug report, feature request, or simply praise? On automatically classifying app reviews

    Walid Maalej;Hadeer Nabil

  • On the automatic classification of app reviews

    Walid Maalej;Zijad Kurtanović;Hadeer Nabil;Christoph Stanik

  • Toward Data-Driven Requirements Engineering

    Walid Maalej;Maleknaz Nayebi;Timo Johann;Guenther Ruhe

  • Automatically Classifying Functional and Non-functional Requirements Using Supervised Machine Learning

    Zijad Kurtanovic;Walid Maalej

  • How do professional developers comprehend software

    Tobias Roehm;Rebecca Tiarks;Rainer Koschke;Walid Maalej

  • On the Comprehension of Program Comprehension

    Walid Maalej;Rebecca Tiarks;Tobias Roehm;Rainer Koschke

  • Patterns of Knowledge in API Reference Documentation

    W. Maalej;M. P. Robillard

  • SAFE: A Simple Approach for Feature Extraction from App Descriptions and App Reviews

    Timo Johann;Christoph Stanik;M B Alireza Alizadeh;Walid Maalej

  • Towards understanding and detecting fake reviews in app stores

    Daniel Martens;Walid Maalej

  • When users become collaborators: towards continuous and context-aware user input

    Walid Maalej;Hans-Jörg Happel;Asarnusch Rashid

  • Can development work describe itself

    Walid Maalej;Hans-Jorg Happel

  • Mining User Rationale from Software Reviews

    Zijad Kurtanovic;Walid Maalej

  • On the Socialness of Software

    Walid Maalej;Dennis Pagano

  • Potentials and challenges of recommendation systems for software development

    Hans-Jörg Happel;Walid Maalej

  • Social sensing: when users become monitors

    Raian Ali;Carlos Solis;Mazeiar Salehie;Inah Omoronyia

  • Us and them: a study of privacy requirements across north america, asia, and europe

    Swapneel Sheth;Gail Kaiser;Walid Maalej

  • Classifying Multilingual User Feedback using Traditional Machine Learning and Deep Learning

    Christoph Stanik;Marlo Haering;Walid Maalej

  • Democratic mass participation of users in Requirements Engineering

    Timo Johann;Walid Maalej

  • On the Comprehension of Program Comprehension.

    Walid Maalej;Rebecca Tiarks;Tobias Röhm;Rainer Koschke

Frequent Co-Authors

Alexander Felfernig
Alexander Felfernig Graz University of Technology
Andrew Begel
Andrew Begel Carnegie Mellon University
Guenther Ruhe
Guenther Ruhe University of Calgary
Rainer Koschke
Rainer Koschke University of Bremen
Bernd Bruegge
Bernd Bruegge Technical University of Munich
Xavier Franch
Xavier Franch Universitat Politècnica de Catalunya
Didar Zowghi
Didar Zowghi University of Technology Sydney
Daniel Amyot
Daniel Amyot University of Ottawa
Martin Monperrus
Martin Monperrus Royal Institute of Technology
Jane Cleland-Huang
Jane Cleland-Huang University of Notre Dame

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