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Computer Science
Netherlands
2025

D-Index & Metrics

Computer Science

D-Index
59
Citations
10154
World Ranking
3496
National Ranking
39

Research.com Recognitions

  • 2025 - Research.com Computer Science in Netherlands Leader Award
  • 2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Andy Zaidman is affiliated with Delft University of Technology in the Netherlands. Their academic focus primarily lies within the field of Computer Science, with a notable concentration on software-related studies.

The subfields of study that form the core of their research portfolio include:

  • Software
  • Information Systems
  • Computer Networks and Communications
  • Artificial Intelligence
  • Signal Processing

The main topics addressed in their work cover various aspects of software engineering and analysis:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software Reliability and Analysis Research
  • Software System Performance and Reliability
  • Software Engineering Techniques and Practices
  • Topic Modeling
  • Advanced Malware Detection Techniques

Andy Zaidman has coauthored numerous publications with several frequent collaborators, including:

  • Pouria Derakhshanfar
  • Xavier Devroey
  • Mark Swillus
  • Annibale Panichella
  • Carolin Brandt

Their scholarly work appears often in key publication venues such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • Empirical Software Engineering
  • IEEE Transactions on Software Engineering
  • Journal of Systems and Software

Representative recent papers authored or coauthored by Andy Zaidman include:

  • "How bugs are born: a model to identify how bugs are introduced in software components," 2020, Empirical Software Engineering
  • "Developer-centric test amplification," 2022, Empirical Software Engineering
  • "Search-based crash reproduction using behavioural model seeding," 2020, Software Testing Verification and Reliability
  • "Revisiting the debate: Are code metrics useful for measuring maintenance effort?" 2022, Empirical Software Engineering
  • "Sentiment overflow in the testing stack: Analyzing software testing posts on Stack Overflow," 2023, Journal of Systems and Software

Best Publications

  • A Systematic Survey of Program Comprehension through Dynamic Analysis

    B. Cornelissen;A. Zaidman;A. van Deursen;L. Moonen

  • Work practices and challenges in pull-based development: the contributor's perspective

    Georgios Gousios;Andy Zaidman;Margaret-Anne Storey;Arie van Deursen

  • Multi-tenant SaaS applications: maintenance dream or nightmare?

    Cor-Paul Bezemer;Andy Zaidman

  • Work practices and challenges in pull-based development: The integrator's perspective

    G. Gousios;A. Zaidman;Storey;A. Van Deursen

  • Modern code reviews in open-source projects: which problems do they fix?

    Moritz Beller;Alberto Bacchelli;Andy Zaidman;Elmar Juergens

  • Mining Software Repositories to Study Co-Evolution of Production & Test Code

    A. Zaidman;B. Van Rompaey;S. Demeyer;A. van Deursen

  • Evaluating the Lifespan of Code Smells using Software Repository Mining

    Ralph Peters;Andy Zaidman

  • Enabling multi-tenancy: An industrial experience report

    Cor-Paul Bezemer;Andy Zaidman;Bart Platzbeecker;Toine Hurkmans

  • Analyzing the State of Static Analysis: A Large-Scale Evaluation in Open Source Software

    Moritz Beller;Radjino Bholanath;Shane McIntosh;Andy Zaidman

  • Studying the co-evolution of production and test code in open source and industrial developer test processes through repository mining

    Andy Zaidman;Bart Rompaey;Arie Deursen;Serge Demeyer

  • TravisTorrent: synthesizing Travis CI and GitHub for full-stack research on continuous integration

    Moritz Beller;Georgios Gousios;Andy Zaidman

  • When, how, and why developers (do not) test in their IDEs

    Moritz Beller;Georgios Gousios;Annibale Panichella;Andy Zaidman

  • Understanding Execution Traces Using Massive Sequence and Circular Bundle Views

    B. Cornelissen;D. Holten;A. Zaidman;L. Moonen

  • Lean GHTorrent: GitHub data on demand

    Georgios Gousios;Bogdan Vasilescu;Alexander Serebrenik;Andy Zaidman

  • A Controlled Experiment for Program Comprehension through Trace Visualization

    B Cornelissen;A Zaidman;A van Deursen

  • Oops, my tests broke the build: an explorative analysis of Travis CI with GitHub

    Moritz Beller;Georgios Gousios;Andy Zaidman

  • A textual-based technique for Smell Detection

    Fabio Palomba;Annibale Panichella;Andrea De Lucia;Rocco Oliveto

  • On the Relation of Test Smells to Software Code Quality

    Davide Spadini;Fabio Palomba;Andy Zaidman;Magiel Bruntink

  • Execution trace analysis through massive sequence and circular bundle views

    Bas Cornelissen;Andy Zaidman;Danny Holten;Leon Moonen

  • How developers engage with static analysis tools in different contexts

    Carmine Vassallo;Sebastiano Panichella;Fabio Palomba;Sebastian Proksch

  • A Systematic Survey of Program Comprehension through Dynamic Analysis

    S.G.M. Cornelissen;A.E. Zaidman;A. Van Deursen;L. Moonen

Frequent Co-Authors

Fabio Palomba
Fabio Palomba University of Salerno
Arie van Deursen
Arie van Deursen Delft University of Technology
Serge Demeyer
Serge Demeyer University of Antwerp
Andrea De Lucia
Andrea De Lucia University of Salerno
Annibale Panichella
Annibale Panichella Delft University of Technology
Georgios Gousios
Georgios Gousios Delft University of Technology
Leon Moonen
Leon Moonen Simula Research Laboratory
Alexander Serebrenik
Alexander Serebrenik Eindhoven University of Technology
Rocco Oliveto
Rocco Oliveto University of Molise
Bram Adams
Bram Adams Queen's University

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