What is he best known for?
The fields of study he is best known for:
- Software
- Artificial intelligence
- Programming language
His primary areas of investigation include Feature, Feature model, Software, Software engineering and Artificial intelligence.
His Feature research includes themes of Metamorphic testing, Correctness, Interface and Oracle.
His work on Software product line is typically connected to Constraint satisfaction problem as part of general Software study, connecting several disciplines of science.
His studies deal with areas such as Software system and Data science as well as Software product line.
His study in Software engineering is interdisciplinary in nature, drawing from both Semantic reasoner and Operating system.
His Artificial intelligence research is multidisciplinary, incorporating elements of User interface, Machine learning and Data mining.
His most cited work include:
- Automated analysis of feature models 20 years later: A literature review (877 citations)
- Automated reasoning on feature models (514 citations)
- Automated analysis of feature models: challenges ahead (178 citations)
What are the main themes of his work throughout his whole career to date?
Antonio Ruiz-Cortés spends much of his time researching Software engineering, Business process, Software, Data mining and Context.
His research in Software engineering intersects with topics in Service-level agreement, Instrumentation and Database.
His study on Business process management, Business process modeling and Business Process Model and Notation is often connected to Performance indicator as part of broader study in Business process.
In general Software, his work in Software product line is often linked to Constraint satisfaction problem linking many areas of study.
His research in Constraint satisfaction problem intersects with topics in Constraint satisfaction and Constraint programming.
Antonio Ruiz-Cortés interconnects Set, Business process discovery, Artificial intelligence, Feature model and Machine learning in the investigation of issues within Data mining.
He most often published in these fields:
- Software engineering (28.95%)
- Business process (21.71%)
- Software (19.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Context (15.13%)
- Software engineering (28.95%)
- Web service (11.18%)
In recent papers he was focusing on the following fields of study:
Antonio Ruiz-Cortés mostly deals with Context, Software engineering, Web service, Service and Web API.
In his research on the topic of Context, Feature is strongly related with Software.
His work carried out in the field of Software engineering brings together such families of science as Service-level agreement and De facto standard.
His Web service study also includes fields such as
- Dependency and related Parsing and Code generation,
- Test suite and related Code coverage, Set, System integration and Database.
His biological study deals with issues like Information retrieval, which deal with fields such as restrict and Relation.
His research in Machine learning tackles topics such as Business process which are related to areas like Data mining and Reference implementation.
Between 2018 and 2021, his most popular works were:
- Automated analysis of feature models: Quo vadis? (19 citations)
- Visual ppinot : A Graphical Notation for Process Performance Indicators (18 citations)
- A Catalogue of Inter-parameter Dependencies in RESTful Web APIs (6 citations)
In his most recent research, the most cited papers focused on:
- Software
- Programming language
- Artificial intelligence
His primary areas of investigation include Context, Software engineering, Web service, Web API and Data science.
He is studying Agile software development, which is a component of Software engineering.
The various areas that Antonio Ruiz-Cortés examines in his Web service study include Dependency, restrict, Information retrieval and Service.
The concepts of his Web API study are interwoven with issues in Test suite, Set, System integration and Code coverage.
His studies deal with areas such as Software system, Software, Field and Feature as well as Data science.
His Software construction study in the realm of Software connects with subjects such as Product and Empirical research.
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.
