What is he best known for?
The fields of study he is best known for:
- Software
- Artificial intelligence
- Programming language
His scientific interests lie mostly in Software engineering, Software, Empirical research, Management science and Knowledge management.
Robert Feldt undertakes interdisciplinary study in the fields of Software engineering and Classification scheme through his works.
His study in the field of Software development process and Requirements engineering also crosses realms of Context.
His Empirical research research integrates issues from Software peer review, Software analytics, Software Engineering Process Group and Social software engineering.
His Knowledge management research is multidisciplinary, relying on both Empirical process, Software development and Group development.
His Scheme research incorporates elements of Field, Popularity and Set.
His most cited work include:
- Systematic mapping studies in software engineering (1358 citations)
- A systematic review of search-based testing for non-functional system properties (315 citations)
- Empirical evidence in global software engineering: a systematic review (272 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Software, Software engineering, Software development, Knowledge management and Context.
As a part of the same scientific study, he usually deals with the Software, concentrating on Test case and frequently concerns with Artificial intelligence, Machine learning, Test design and Test set.
His Software engineering research is multidisciplinary, incorporating perspectives in Software construction, Social software engineering and Systems engineering.
His Knowledge management study incorporates themes from Agile software development, User experience design and Empirical research.
He works mostly in the field of Agile software development, limiting it down to topics relating to Process management and, in certain cases, Requirements engineering, as a part of the same area of interest.
He focuses mostly in the field of Empirical research, narrowing it down to topics relating to Empirical process and, in certain cases, Bayesian probability and Lean software development.
He most often published in these fields:
- Software (40.60%)
- Software engineering (35.47%)
- Software development (28.63%)
What were the highlights of his more recent work (between 2018-2021)?
- Software (40.60%)
- Software engineering (35.47%)
- Artificial intelligence (11.11%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Software, Software engineering, Artificial intelligence, Agile software development and Test case.
His research in Software is mostly concerned with Software development.
His biological study spans a wide range of topics, including Social psychology and Knowledge management.
His Software testing research extends to Software engineering, which is thematically connected.
His research investigates the connection with Artificial intelligence and areas like Machine learning which intersect with concerns in Set.
His Agile software development study combines topics in areas such as Group development and Process management.
Between 2018 and 2021, his most popular works were:
- Guiding deep learning system testing using surprise adequacy (125 citations)
- Group development and group maturity when building agile teams: A qualitative and quantitative investigation at eight large companies (33 citations)
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (24 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Software
- Programming language
The scientist’s investigation covers issues in Agile software development, Software engineering, Process management, Software and Context.
His Agile software development research incorporates themes from Group development, Capability Maturity Model, Cronbach's alpha, Construct validity and Measure.
His Process management study integrates concerns from other disciplines, such as Root cause analysis, Data-driven and Requirements elicitation.
His work in the fields of Software, such as Software development process, Software system and Lean product development, intersects with other areas such as Multimethodology and Interview.
His work deals with themes such as Empirical process and Data science, which intersect with Workflow.
His Source code study also includes fields such as
- Graphical user interface that intertwine with fields like Focus, Software quality, User experience design and Knowledge management,
- Usability that intertwine with fields like Software development.
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