Arie van Deursen

Arie van Deursen

Technische Universiteit Delft

H-index: 67

Europe-Netherlands

About Arie van Deursen

Arie van Deursen, With an exceptional h-index of 67 and a recent h-index of 38 (since 2020), a distinguished researcher at Technische Universiteit Delft, specializes in the field of Software engineering, software testing, empirical software engineering, domain-specific languages, artificial intelligence.

His recent articles reflect a diverse array of research interests and contributions to the field:

An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows

McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions

Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions

Language Models for Code Completion: A Practical Evaluation

Traces of Memorisation in Large Language Models for Code

Data vs. Model Machine Learning Fairness Testing: An Empirical Study

Endogenous Macrodynamics in Algorithmic Recourse

Arie van Deursen Information

University

Position

Professor of Software Engineering

Citations(all)

19795

Citations(since 2020)

5527

Cited By

16471

hIndex(all)

67

hIndex(since 2020)

38

i10Index(all)

215

i10Index(since 2020)

115

Email

University Profile Page

Technische Universiteit Delft

Google Scholar

View Google Scholar Profile

Arie van Deursen Skills & Research Interests

Software engineering

software testing

empirical software engineering

domain-specific languages

artificial intelligence

Top articles of Arie van Deursen

Title

Journal

Author(s)

Publication Date

An Exploratory Investigation into Code License Infringements in Large Language Model Training Datasets

arXiv preprint arXiv:2403.15230

Jonathan Katzy

Răzvan-Mihai Popescu

Arie van Deursen

Maliheh Izadi

2024/3/22

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows

arXiv preprint arXiv:2403.13629

George Siachamis

Kyriakos Psarakis

Marios Fragkoulis

Arie van Deursen

Paris Carbone

...

2024/3/20

McUDI: Model-Centric Unsupervised Degradation Indicator for Failure Prediction AIOps Solutions

arXiv preprint arXiv:2401.14093

Lorena Poenaru-Olaru

Luis Cruz

Jan Rellermeyer

Arie van Deursen

2024/1/25

Towards Automatic Translation of Machine Learning Visual Insights to Analytical Assertions

arXiv preprint arXiv:2401.07696

Arumoy Shome

Luis Cruz

Arie van Deursen

2024/1/15

Language Models for Code Completion: A Practical Evaluation

Maliheh Izadi

Jonathan Katzy

Tim Van Dam

Marc Otten

Razvan Mihai Popescu

...

2024/4/12

Traces of Memorisation in Large Language Models for Code

Ali Al-Kaswan

Maliheh Izadi

Arie Van Deursen

2024/4/12

Data vs. Model Machine Learning Fairness Testing: An Empirical Study

arXiv preprint arXiv:2401.07697

Arumoy Shome

Luis Cruz

Arie van Deursen

2024/1/15

Endogenous Macrodynamics in Algorithmic Recourse

Patrick Altmeyer

Giovan Angela

Aleksander Buszydlik

Karol Dobiczek

Arie van Deursen

...

2023

Nudge: Accelerating Overdue Pull Requests toward Completion

ACM Transactions on Software Engineering and Methodology

Chandra Maddila

Sai Surya Upadrasta

Chetan Bansal

Nachiappan Nagappan

Georgios Gousios

...

2023/3/30

Enriching source code with contextual data for code completion models: An empirical study

Tim van Dam

Maliheh Izadi

Arie van Deursen

2023/5/15

Explaining Black-Box Models through Counterfactuals

arXiv preprint arXiv:2308.07198

Patrick Altmeyer

Arie van Deursen

Cynthia Liem

2023/8/14

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals

arXiv preprint arXiv:2312.10648

Patrick Altmeyer

Mojtaba Farmanbar

Arie van Deursen

Cynthia Liem

2023/12/17

Extending source code pre-trained language models to summarise decompiled binarie

Ali Al-Kaswan

Toufique Ahmed

Maliheh Izadi

Anand Ashok Sawant

Premkumar Devanbu

...

2023/3/21

Uncovering energy-efficient practices in deep learning training: Preliminary steps towards green ai

Tim Yarally

Luıs Cruz

Daniel Feitosa

June Sallou

Arie Van Deursen

2023/5/15

Adaptive distributed streaming similarity joins

George Siachamis

Kyriakos Psarakis

Marios Fragkoulis

Odysseas Papapetrou

Arie Van Deursen

...

2023/6/27

Dynamic Prediction of Delays in Software Projects using Delay Patterns and Bayesian Modeling

Elvan Kula

Eric Greuter

Arie van Deursen

Georgios Gousios

2023/11/30

Targeted attack on gpt-neo for the satml language model data extraction challenge

arXiv preprint arXiv:2302.07735

Ali Al-Kaswan

Maliheh Izadi

Arie van Deursen

2023/2/13

Retrain AI Systems Responsibly! Use Sustainable Concept Drift Adaptation Techniques

Lorena Poenaru-Olaru

June Sallou

Luis Cruz

Jan S Rellermeyer

Arie Van Deursen

2023/5/14

Stacc: Code comment classification using sentencetransformers

Ali Al-Kaswan

Maliheh Izadi

Arie Van Deursen

2023/5/20

Maintenance Techniques for Anomaly Detection AIOps Solutions

arXiv preprint arXiv:2311.10421

Lorena Poenaru-Olaru

Natalia Karpova

Luis Cruz

Jan Rellermeyer

Arie van Deursen

2023/11/17

See List of Professors in Arie van Deursen University(Technische Universiteit Delft)

Co-Authors

H-index: 73
Margaret-Anne Storey

Margaret-Anne Storey

University of Victoria

H-index: 56
Andy Zaidman

Andy Zaidman

Technische Universiteit Delft

H-index: 52
Eelco Visser

Eelco Visser

Technische Universiteit Delft

H-index: 45
Rainer Koschke

Rainer Koschke

Universität Bremen

H-index: 44
Joost Visser

Joost Visser

Universiteit Leiden

H-index: 44
Martin Pinzger

Martin Pinzger

Alpen-Adria-Universität Klagenfurt

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