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 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.
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.
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.
Domain-specific languages: an annotated bibliography
Arie van Deursen;Paul Klint;Joost Visser.
Sigplan Notices (2000)
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)
Domain-Specific Language Design Requires Feature Descriptions
Arie Van Deursen;Paul Klint.
computer and information technology (2002)
An exploratory study of the pull-based software development model
Georgios Gousios;Martin Pinzger;Arie van Deursen.
international conference on software engineering (2014)
Little languages: little maintenance
Arie van Deursen;Paul Klint.
Journal of Software Maintenance: Research and Practice archive (1998)
Refactoring test code
Arie Deursen;Leon M.F. Moonen;A. Bergh;Gerard Kok.
Report - Software engineering (2001)
Language Prototyping: An Algebraic Specification Approach
Arie Van Deursen;Jan Heering;Paul Klint.
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)
Identifying objects using cluster and concept analysis
Arie van Deursen;Tobias Kuipers.
international conference on software engineering (1999)
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)
Profile was last updated on December 6th, 2021.
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The ranking h-index is inferred from publications deemed to belong to the considered discipline.
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