What is he best known for?
The fields of study he is best known for:
- Programming language
- Software engineering
- Software
Colin Atkinson mainly focuses on Software engineering, Unified Modeling Language, Metamodeling, Object-oriented programming and Software development.
The various areas that Colin Atkinson examines in his Software engineering study include Domain engineering, Component-based software engineering, Database and Systems engineering.
His Component-based software engineering research incorporates themes from Software development process and Component.
Colin Atkinson interconnects Artificial intelligence and Software inspection in the investigation of issues within Unified Modeling Language.
His Metamodeling research integrates issues from Object, Model driven development, End user and Logical conjunction.
His research integrates issues of Object model and Common Object Request Broker Architecture, Distributed Component Object Model in his study of Object-oriented programming.
His most cited work include:
- Model-driven development: a metamodeling foundation (891 citations)
- Component-Based Product Line Engineering with UML (456 citations)
- The Essence of Multilevel Metamodeling (240 citations)
What are the main themes of his work throughout his whole career to date?
Colin Atkinson focuses on Software engineering, Software development, Component-based software engineering, Software and Unified Modeling Language.
His Software engineering research includes elements of Software system, Modeling language and Systems engineering.
His Modeling language research includes themes of Conceptual framework, Natural language processing, Systems Modeling Language, Orthographic projection and Domain-specific language.
His study looks at the relationship between Software development and topics such as Object-oriented programming, which overlap with Concurrency.
His studies deal with areas such as Software quality, Software deployment and Embedded system as well as Component-based software engineering.
His study looks at the intersection of Unified Modeling Language and topics like Artificial intelligence with Human–computer interaction.
He most often published in these fields:
- Software engineering (47.75%)
- Software development (22.97%)
- Component-based software engineering (20.72%)
What were the highlights of his more recent work (between 2013-2020)?
- Software engineering (47.75%)
- Modeling language (11.71%)
- Software (17.12%)
In recent papers he was focusing on the following fields of study:
Colin Atkinson mainly focuses on Software engineering, Modeling language, Software, Artificial intelligence and Software system.
His Software engineering research is multidisciplinary, incorporating elements of Software development, ArchiMate, Enterprise architecture, Enterprise system and SIMPLE.
Colin Atkinson has included themes like Aspect-oriented programming, Theoretical computer science, Conceptual framework, Unified Modeling Language and Orthographic projection in his Modeling language study.
Colin Atkinson mostly deals with Component-based software engineering in his studies of Software.
The study incorporates disciplines such as Software metric and Component in addition to Component-based software engineering.
His biological study spans a wide range of topics, including Machine learning, Software development process and Metamodeling.
Between 2013 and 2020, his most popular works were:
- Comparing multi-level modeling approaches (20 citations)
- Flexible deep modeling with Melanee (19 citations)
- A multi-level approach to modeling language extension in the Enterprise Systems Domain (17 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Software engineering
Software engineering, Artificial intelligence, Software system, Software development and Unified Modeling Language are his primary areas of study.
His Software engineering study combines topics in areas such as Green computing, Exploit, Robot, Domain-specific modeling and SIMPLE.
The Artificial intelligence study combines topics in areas such as Programming language, Pattern recognition and Natural language processing.
His work on Software sizing and Software construction is typically connected to On demand and Application areas as part of general Software system study, connecting several disciplines of science.
His Software development study integrates concerns from other disciplines, such as Quality of service and Risk analysis.
He combines subjects such as Semantics and Modeling language with his study of Unified Modeling Language.
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