2010 - ACM Senior Member
His main research concerns Software engineering, Software development, Social software engineering, Empirical research and Software construction. His research integrates issues of Tacit knowledge, Knowledge transfer and State in his study of Software engineering. His Software development study necessitates a more in-depth grasp of Software.
His studies examine the connections between Social software engineering and genetics, as well as such issues in Software Engineering Process Group, with regards to Personal software process and Experimental software engineering. His studies in Empirical research integrate themes in fields like Domain, Relevance and External validity. Jeffrey C. Carver works mostly in the field of Software peer review, limiting it down to topics relating to Software verification and validation and, in certain cases, Software quality analyst and Software technical review.
The scientist’s investigation covers issues in Software engineering, Software development, Software, Empirical research and Software construction. The study incorporates disciplines such as Supercomputer, Software quality, Software development process and Software requirements in addition to Software engineering. He studied Software development and Engineering management that intersect with Agile software development.
Jeffrey C. Carver has researched Software in several fields, including Variety, Artificial intelligence and Reliability engineering. His work deals with themes such as Test, Software maintenance, Task, Taxonomy and Data science, which intersect with Empirical research. Within one scientific family, he focuses on topics pertaining to Systems engineering under Software construction, and may sometimes address concerns connected to Context.
Jeffrey C. Carver spends much of his time researching Software, Software engineering, Engineering management, Research software and Software testing. In the subject of general Software, his work in Software development and Scientific software is often linked to Translation research, thereby combining diverse domains of study. His Software development research includes elements of Robustness and Openness to experience.
His Software engineering research is mostly focused on the topic Maintainability. The concepts of his Engineering management study are interwoven with issues in Agile software development, Software development process, Fault prevention and Best practice. His Software testing research incorporates elements of Test suite, Test case, Human–computer interaction, Code coverage and Empirical research.
His primary areas of investigation include Task, Test, Engineering management, Agile software development and Work. His Task study combines topics in areas such as Domain, Concurrent testing and Field. His studies deal with areas such as Industrial engineering, Software system, Scientific software, Strengths and weaknesses and Empirical research as well as Test.
Jeffrey C. Carver merges many fields, such as Engineering management and Business agility, in his writings. A majority of his Work research is a blend of other scientific areas, such as Foundation, Relevance, Requirements engineering, Engineering ethics and Active learning. His work in Identification addresses subjects such as Set, which are connected to disciplines such as Functional requirement, Adaptation and Data science.
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 role of replications in Empirical Software Engineering
Forrest J. Shull;Jeffrey C. Carver;Sira Vegas;Natalia Juristo.
Empirical Software Engineering (2008)
An empirical methodology for introducing software processes
Forrest Shull;Jeffrey Carver;Guilherme H. Travassos.
foundations of software engineering (2001)
Issues in using students in empirical studies in software engineering education
J. Carver;L. Jaccheri;S. Morasca;F. Shull.
ieee international software metrics symposium (2003)
A systematic literature review to identify and classify software requirement errors
Gursimran Singh Walia;Jeffrey C. Carver.
Information & Software Technology (2009)
Software Development Environments for Scientific and Engineering Software: A Series of Case Studies
Jeffrey C. Carver;Richard P. Kendall;Susan E. Squires;Douglass E. Post.
international conference on software engineering (2007)
Characterizing software architecture changes: A systematic review
Byron J. Williams;Jeffrey C. Carver.
Information & Software Technology (2010)
Replicating software engineering experiments: addressing the tacit knowledge problem
F. Shull;V. Basili;J. Carver;J.C. Maldonado.
(2002)
Understanding the High-Performance-Computing Community: A Software Engineer's Perspective
V.R. Basili;J.C. Carver;D. Cruzes;L.M. Hochstein.
(2008)
Knowledge-Sharing Issues in Experimental Software Engineering
Forrest Shull;Manoel G. Mendoncça;Victor Basili;Jeffrey Carver.
(2004)
Parallel Programmer Productivity: A Case Study of Novice Parallel Programmers
Lorin Hochstein;Jeff Carver;Forrest Shull;Sima Asgari.
(2005)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Carnegie Mellon University
University of Maryland, College Park
Federal University of Rio de Janeiro
University of Illinois at Urbana-Champaign
Universidade de São Paulo
University of Maryland, College Park
University of Maryland, College Park
Eindhoven University of Technology
North Carolina State University
Microsoft (United States)
Queensland University of Technology
Rice University
Télécom ParisTech
Northeastern University
Gifu Pharmaceutical University
University of Pennsylvania
Kansas State University
University of Innsbruck
Texas A&M University
University of Porto
University of Adelaide
Lakehead University
Marine Biological Association of the United Kingdom
United States Geological Survey
Johns Hopkins University
Aarhus University