What is he best known for?
The fields of study he is best known for:
- Programming language
- Software
- Software engineering
Joost Visser spends much of his time researching Programming language, Software engineering, Theoretical computer science, Software system and Source code.
His study focuses on the intersection of Programming language and fields such as Relational database with connections in the field of Database design.
His Software engineering research focuses on Software construction and how it relates to Compiler, Interpreter and Component-based software engineering.
His biological study spans a wide range of topics, including World Wide Web, Specification language and Artificial intelligence.
The various areas that Joost Visser examines in his Source code study include Reliability engineering and Maintainability.
His Software study combines topics in areas such as Semantics, Key, Semantics and Domain-specific language.
His most cited work include:
- Domain-specific languages: an annotated bibliography (1159 citations)
- The ASF+SDF Meta-environment: A Component-Based Language Development Environment (306 citations)
- A Practical Model for Measuring Maintainability (201 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Programming language, Software engineering, Software, Software development and Software system.
His Programming language research is multidisciplinary, relying on both Relational database and Theoretical computer science.
His Software engineering research is multidisciplinary, incorporating elements of Software maintenance, Component-based software engineering, Software architecture, Generative grammar and Software quality.
His studies in Software quality integrate themes in fields like Maintainability and Reliability engineering.
His study looks at the intersection of Software and topics like Source code with Code.
Much of his study explores Software system relationship to Artificial intelligence.
He most often published in these fields:
- Programming language (34.30%)
- Software engineering (24.42%)
- Software (18.60%)
What were the highlights of his more recent work (between 2016-2021)?
- Software (18.60%)
- Machine learning (5.23%)
- Artificial intelligence (7.56%)
In recent papers he was focusing on the following fields of study:
Joost Visser focuses on Software, Machine learning, Artificial intelligence, Software engineering and Software architecture.
His work on World Wide Web expands to the thematically related Software.
His work carried out in the field of Software engineering brings together such families of science as Software system and Software quality.
The Software system study combines topics in areas such as Configuration management, Probabilistic logic, Software design and Declarative programming.
Joost Visser combines subjects such as Quality, Maintainability, Software analysis pattern and Traceability with his study of Software quality.
His Software architecture study also includes
- Implementation which connect with NIST,
- Systems engineering that connect with fields like Software construction.
Between 2016 and 2021, his most popular works were:
- Semantic versioning and impact of breaking changes in the Maven repository (33 citations)
- Follicle stimulating hormone versus clomiphene citrate in intrauterine insemination for unexplained subfertility : a randomized controlled trial (20 citations)
- How good is your puppet? An empirically defined and validated quality model for puppet (20 citations)
In his most recent research, the most cited papers focused on:
- Programming language
- Software
- Algebra
Joost Visser mainly investigates Software, Pregnancy rate, Order, Obstetrics and Automotive industry.
His Software research is multidisciplinary, incorporating perspectives in Set and Software engineering, Implementation.
The study incorporates disciplines such as Statistical model and Declarative programming in addition to Software engineering.
His research integrates issues of Artificial insemination and Infertility in his study of Pregnancy rate.
His Software quality research includes themes of Quality, Software analysis pattern, Configuration management, Software system and Maintainability.
His study in Traceability is interdisciplinary in nature, drawing from both Machine learning and Artificial intelligence.
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