H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 50 Citations 11,427 172 World Ranking 2919 National Ranking 30

Overview

What is he best known for?

The fields of study he is best known for:

  • Software
  • Programming language
  • Operating system

Arie van Deursen focuses on Software engineering, Programming language, Software, Software development and Software maintenance. The Software engineering study combines topics in areas such as User interface, Web application, Ajax and Database. His research in Software is mostly concerned with Software system.

The study incorporates disciplines such as Data mining and Domain knowledge in addition to Software system. His research in Software development intersects with topics in Knowledge management and Code generation. The various areas that Arie van Deursen examines in his Specification language study include Semantics, Semantics and Key.

His most cited work include:

  • Domain-specific languages: an annotated bibliography (1159 citations)
  • An exploratory study of the pull-based software development model (337 citations)
  • The ASF+SDF Meta-environment: A Component-Based Language Development Environment (306 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Software engineering, Software, Programming language, Software system and Software development. Arie van Deursen combines subjects such as Software architecture, Software maintenance, World Wide Web and Code refactoring with his study of Software engineering. His Code refactoring study combines topics from a wide range of disciplines, such as Aspect-oriented programming, Unit testing, Process and Code smell.

His Software research incorporates elements of Java, Visualization, Data mining and Knowledge management. His Programming language research includes elements of Test suite and Code. His Software system research incorporates themes from Reliability engineering, Testability and Data science.

He most often published in these fields:

  • Software engineering (44.44%)
  • Software (28.70%)
  • Programming language (19.91%)

What were the highlights of his more recent work (between 2018-2021)?

  • Software (28.70%)
  • Software engineering (44.44%)
  • Test case (6.48%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Software, Software engineering, Test case, Crash and Debugging. Arie van Deursen studies Software, focusing on Software development in particular. Arie van Deursen works on Software engineering which deals in particular with Domain-specific language.

His research in Test case focuses on subjects like Java, which are connected to Unit testing, Code coverage and Parsing. His Crash research is multidisciplinary, incorporating elements of Machine learning, Root cause and Artificial intelligence. His study in Software system is interdisciplinary in nature, drawing from both Reliability engineering and Software development process.

Between 2018 and 2021, his most popular works were:

  • Lessons learned from developing mbeddr: a case study in language engineering with MPS (14 citations)
  • Search-Based Crash Reproduction and Its Impact on Debugging (13 citations)
  • The Adoption of JavaScript Linters in Practice: A Case Study on ESLint (13 citations)

In his most recent research, the most cited papers focused on:

  • Software
  • Programming language
  • Operating system

Arie van Deursen spends much of his time researching Software, Software engineering, Debugging, Crash and Quality. Arie van Deursen does research in Software, focusing on Software development specifically. He interconnects Programming language, JavaScript and Static program analysis in the investigation of issues within Software engineering.

His work carried out in the field of Debugging brings together such families of science as Software bug, Software system, Task and Unit testing. His Crash study integrates concerns from other disciplines, such as Finite-state machine, Open source and Benchmark. Arie van Deursen has included themes like Mathematics education, Test code and Software testing in his Quality study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Domain-specific languages: an annotated bibliography

Arie van Deursen;Paul Klint;Joost Visser.
Sigplan Notices (2000)

2037 Citations

The ASF+SDF Meta-environment: A Component-Based Language Development Environment

Mark G. J. van den Brand;Arie van Deursen;Jan Heering;H. A. de Jong.
compiler construction (2001)

513 Citations

Domain-Specific Language Design Requires Feature Descriptions

Arie Van Deursen;Paul Klint.
computer and information technology (2002)

464 Citations

An exploratory study of the pull-based software development model

Georgios Gousios;Martin Pinzger;Arie van Deursen.
international conference on software engineering (2014)

462 Citations

Little languages: little maintenance

Arie van Deursen;Paul Klint.
Journal of Software Maintenance: Research and Practice archive (1998)

389 Citations

Refactoring test code

Arie Deursen;Leon M.F. Moonen;A. Bergh;Gerard Kok.
Report - Software engineering (2001)

372 Citations

Language Prototyping: An Algebraic Specification Approach

Arie Van Deursen;Jan Heering;Paul Klint.
(1996)

356 Citations

Crawling Ajax-Based Web Applications through Dynamic Analysis of User Interface State Changes

Ali Mesbah;Arie van Deursen;Stefan Lenselink.
ACM Transactions on The Web (2012)

351 Citations

Identifying objects using cluster and concept analysis

Arie van Deursen;Tobias Kuipers.
international conference on software engineering (1999)

337 Citations

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

Georgios Gousios;Andy Zaidman;Margaret-Anne Storey;Arie van Deursen.
international conference on software engineering (2015)

281 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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