His primary areas of investigation include Software engineering, Social software engineering, Software development, Empirical process and Software maintenance. His Software engineering research is multidisciplinary, incorporating perspectives in Statistical hypothesis testing, Significance testing and Confidence interval. His research integrates issues of Range, Personal software process, Software Engineering Process Group and Competence in his study of Social software engineering.
His Software development study typically links adjacent topics like Empirical evidence. His work investigates the relationship between Empirical process and topics such as Management science that intersect with problems in Empirical research, Test, Set, Sociology of scientific knowledge and Empirical research methods. The study incorporates disciplines such as Java, Object-oriented programming, Code refactoring, Maintainability and Code smell in addition to Software maintenance.
Dag I. K. Sjøberg mostly deals with Software engineering, Software development, Software, Empirical research and Quality. His specific area of interest is Software engineering, where Dag I. K. Sjøberg studies Maintainability. In his research, Analysis effort method, Risk analysis and Software crisis is intimately related to Operations research, which falls under the overarching field of Software development.
Dag I. K. Sjøberg interconnects Reliability engineering and Estimation in the investigation of issues within Software. In Empirical research, Dag I. K. Sjøberg works on issues like Management science, which are connected to Empirical evidence. His Quality research includes elements of Knowledge management, Reliability, Task and Process.
Dag I. K. Sjøberg focuses on Process management, Software, Empirical research, Context and Engineering management. His Software study incorporates themes from Mathematics education and Software engineering. His studies deal with areas such as Construct validity and Statistical conclusion validity as well as Software engineering.
His work carried out in the field of Empirical research brings together such families of science as Quality, Software development and Management science. His Software development research is multidisciplinary, incorporating elements of Project management, Measure and Operations research. His research investigates the connection with Engineering management and areas like Social software engineering which intersect with concerns in Knowledge management.
The scientist’s investigation covers issues in Engineering management, Agile software development, Knowledge management, Project management and Medical education. His research in Engineering management intersects with topics in Extreme programming practices, Software development process, Rasch model, Software verification and validation and Social software engineering. The Agile software development study combines topics in areas such as Duration, Management science, Information sharing and Stand-up meeting.
As a part of the same scientific family, Dag I. K. Sjøberg mostly works in the field of Knowledge management, focusing on Software development and, on occasion, Team composition. His Project management research is multidisciplinary, relying on both Quality, Team effectiveness, Teamwork, Scrum and Psychological safety. His studies in Medical education integrate themes in fields like Team working 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.
Guide to Advanced Empirical Software Engineering
Forrest Shull;Janice Singer;Dag I.K. Sjøberg.
The Future of Empirical Methods in Software Engineering Research
D.I.K. Sjoberg;T. Dyba;M. Jorgensen.
Systematic review: A systematic review of effect size in software engineering experiments
Vigdis By Kampenes;Tore Dybå;Jo E. Hannay;Dag I. K. Sjøberg.
Evidence-based software engineering.
Tore Dybå;Gunnar R. Bergersen;Dag I. K. Sjøberg.
Perspectives on Data Science for Software Engineering (2016)
Variations in middle cerebral artery blood flow investigated with noninvasive transcranial blood velocity measurements.
K F Lindegaard;T Lundar;J Wiberg;D Sjøberg.
Evaluating Pair Programming with Respect to System Complexity and Programmer Expertise
B. Arisholm;H. Gallis;T. Dyba;D.I.K. Sjoberg.
Quantifying the Effect of Code Smells on Maintenance Effort
D. I. K. Sjoberg;A. Yamashita;B. C. D. Anda;A. Mockus.
A systematic review of statistical power in software engineering experiments
Tore Dybå;Tore Dybå;Vigdis By Kampenes;Dag I.K. Sjøberg.
The effectiveness of pair programming: A meta-analysis
Jo E. Hannay;Tore Dybå;Erik Arisholm;Dag I. K. Sjøberg.
Building Theories in Software Engineering
Dag I. K. Sjøberg;Tore Dybå;Bente Cecilie Dahlum Anda;Jo Erskine Hannay.
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