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.
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.
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.
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.
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Systematic mapping studies in software engineering
Kai Petersen;Robert Feldt;Shahid Mujtaba;Michael Mattsson.
evaluation and assessment in software engineering (2008)
Guidelines for conducting systematic mapping studies in software engineering : An update
Kai Petersen;Sairam Vakkalanka;Ludwik Kuzniarz.
Information & Software Technology (2015)
Context in industrial software engineering research
Kai Petersen;Claes Wohlin.
empirical software engineering and measurement (2009)
Benefits and limitations of automated software testing: systematic literature review and practitioner survey
Dudekula Mohammad Rafi;Katam Reddy Kiran Moses;Kai Petersen;Mika V. Mantyla.
automation of software test (2012)
A comparison of issues and advantages in agile and incremental development between state of the art and an industrial case
Kai Petersen;Claes Wohlin.
Journal of Systems and Software (2009)
What is DevOps?: A Systematic Mapping Study on Definitions and Practices
Ramtin Jabbari;Nauman bin Ali;Kai Petersen;Binish Tanveer.
Proceedings of the Scientific Workshop Proceedings of XP2016 (2016)
The effect of moving from a plan-driven to an incremental software development approach with agile practices
Kai Petersen;Claes Wohlin.
Empirical Software Engineering (2010)
The Waterfall Model in Large-Scale Development
Kai Petersen;Kai Petersen;Claes Wohlin;Dejan Baca;Dejan Baca.
product focused software process improvement (2009)
Worldviews, Research Methods, and their Relationship to Validity in Empirical Software Engineering Research
Kai Petersen;Cigdem Gencel.
joint conference of international workshop on software measurement and international conference on software process and product measurement (2013)
Measuring the flow in lean software development
K. Petersen;C. Wohlin.
Software - Practice and Experience (2011)
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