What is he best known for?
The fields of study he is best known for:
- Software engineering
- Software development
- Software development process
Software engineering, Management science, Empirical process, Agile software development and Software development process are his primary areas of study.
His Software engineering research incorporates themes from Test, Knowledge management and Reusability.
His Management science research incorporates elements of Data science, Relation and Process.
His work in Empirical process tackles topics such as Lean software development which are related to areas like Lean project management, Process management, Personal software process and Software Engineering Process Group.
His studies deal with areas such as Agile usability engineering, Global software and Agile Unified Process as well as Agile software development.
His Software development process research is multidisciplinary, incorporating elements of Test suite, Test case, Empirical research and Scope.
His most cited work include:
- Systematic mapping studies in software engineering (1358 citations)
- Guidelines for conducting systematic mapping studies in software engineering : An update (721 citations)
- Context in industrial software engineering research (205 citations)
What are the main themes of his work throughout his whole career to date?
Kai Petersen mainly investigates Software engineering, Process management, Agile software development, Process and Management science.
Kai Petersen undertakes multidisciplinary investigations into Software engineering and Systematic mapping in his work.
His Process management research includes elements of Agile practices, Software system and Knowledge management.
Kai Petersen combines subjects such as Software development, Empirical process, Agile usability engineering, Risk analysis and Agile Unified Process with his study of Agile software development.
Borrowing concepts from Structure, Kai Petersen weaves in ideas under Process.
The various areas that Kai Petersen examines in his Management science study include Relevance, Requirements engineering, Relation, Empirical research and Data science.
He most often published in these fields:
- Software engineering (25.93%)
- Process management (24.44%)
- Agile software development (20.74%)
What were the highlights of his more recent work (between 2017-2021)?
- Process management (24.44%)
- Empirical research (17.04%)
- Software engineering (25.93%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Process management, Empirical research, Software engineering, Checklist and Process.
His Process management study integrates concerns from other disciplines, such as Agile practices, Key and Taxonomy.
His Empirical research research integrates issues from Management science, Sampling, Software walkthrough, Software Engineering Process Group and Social software engineering.
As a part of the same scientific study, Kai Petersen usually deals with the Management science, concentrating on Relevance and frequently concerns with Industrial software and Engineering management.
Among his Software engineering studies, you can observe a synthesis of other disciplines of science such as Systematic mapping and Evidence based decision making.
His work in Process addresses subjects such as Software system, which are connected to disciplines such as Behavior-driven development, Software versioning and Component.
Between 2017 and 2021, his most popular works were:
- A systematic literature review of software requirements reuse approaches (31 citations)
- Choosing Component Origins for Software Intensive Systems: In-House, COTS, OSS or Outsourcing?—A Case Survey (27 citations)
- CERSE - Catalog for empirical research in software engineering: A Systematic mapping study (15 citations)
In his most recent research, the most cited papers focused on:
- Software engineering
- Software development
- Software development process
His scientific interests lie mostly in Empirical research, Process management, Software engineering, Management science and DevOps.
His research integrates issues of Sampling, Personal software process, Software Engineering Process Group and Data science in his study of Empirical research.
Kai Petersen has researched Process management in several fields, including Agile software development and Agile practices.
His studies in Software engineering integrate themes in fields like Checklist and Social software engineering.
His work deals with themes such as Software requirements, Relevance, Process and Reusability, which intersect with Management science.
His DevOps research is multidisciplinary, incorporating perspectives in Key and Software development.
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.
