Kevin Sullivan mainly investigates Software, Software engineering, Software design, Systems engineering and Risk analysis. His work deals with themes such as Exploit, System of systems and Fault tree analysis, which intersect with Software. His Software engineering research is multidisciplinary, incorporating elements of Aspect-oriented programming, Programming language, Source code, Software development and Software system.
His work carried out in the field of Software design brings together such families of science as Design tool, SIMPLE and Software construction. His Systems engineering study combines topics in areas such as Range, Implicit invocation, Tracing and Software evolution. His Risk analysis study incorporates themes from Computer security and Software economics.
The scientist’s investigation covers issues in Software engineering, Software, Systems engineering, Programming language and Software development. He interconnects Software design, Software construction, Personal software process, Social software engineering and Component-based software engineering in the investigation of issues within Software engineering. His Software design research is multidisciplinary, relying on both Risk analysis and Formal specification.
His Software research incorporates themes from User interface, Software deployment and Fault tree analysis. His work deals with themes such as Health systems engineering, Ultra-large-scale systems and Survivability, which intersect with Systems engineering. He combines subjects such as Application software and Dependability with his study of Software quality.
Kevin Sullivan mainly focuses on Software, Knowledge management, Theoretical computer science, Software system and Software engineering. His research on Software concerns the broader Programming language. His Programming language research includes elements of Structure and Dependability.
In his study, Distributed computing and Architecture is strongly linked to Static analysis, which falls under the umbrella field of Theoretical computer science. His Software system research is multidisciplinary, incorporating elements of Formal methods, Data mining, Big data and Technical debt. His work in the fields of Software engineering, such as System of systems engineering, intersects with other areas such as Government.
His primary scientific interests are in Knowledge management, Learning sciences, Engineering ethics, Population health and Informatics. His work in Knowledge management is not limited to one particular discipline; it also encompasses Transformative learning. Among his research on Learning sciences, you can see a combination of other fields of science like Political science, Library science, Healthcare system, Higher education and Content creation.
His research in Engineering ethics intersects with topics in Digital learning, Software development and Relevance. His work in Population health incorporates the disciplines of Information Dissemination, Systems science, Engineering research and Blueprint. Kevin Sullivan integrates many fields, such as Informatics and engineering, in his works.
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.
The Multidimensional Anxiety Scale for Children (MASC): Factor Structure, Reliability, and Validity
John S. March;James D.A. Parker;Kevin Sullivan;Patricia Stallings.
Journal of the American Academy of Child and Adolescent Psychiatry (1997)
Software reflexion models: bridging the gap between source and high-level models
Gail C. Murphy;David Notkin;Kevin Sullivan.
foundations of software engineering (1995)
Ultra-Large-Scale Systems: The Software Challenge of the Future
Linda Northrop;Peter Feiler;Richard P Gabriel;John Goodenough.
Software reflexion models: bridging the gap between design and implementation
G.C. Murphy;D. Notkin;K.J. Sullivan.
IEEE Transactions on Software Engineering (2001)
Test-retest reliability of the Multidimensional Anxiety Scale for Children.
John S March;Kevin Sullivan;James Parker.
Journal of Anxiety Disorders (1999)
The structure and value of modularity in software design
Kevin J. Sullivan;William G. Griswold;Yuanfang Cai;Ben Hallen.
foundations of software engineering (2001)
Managing technical debt in software-reliant systems
Nanette Brown;Yuanfang Cai;Yuepu Guo;Rick Kazman.
international conference on software engineering (2010)
Software economics: a roadmap
Barry W. Boehm;Kevin J. Sullivan.
Modular software design with crosscutting interfaces
W.G. Griswold;M. Shonle;K. Sullivan;Y. Song.
IEEE Software (2006)
Toward a science of learning systems: a research agenda for the high-functioning Learning Health System
Charles P. Friedman;Joshua C. Rubin;Jeffrey S. Brown;Melinda Buntin.
Journal of the American Medical Informatics Association (2015)
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