Her primary areas of study are Traceability, Software engineering, Requirements traceability, Software and TRACE. Her Traceability research includes themes of Requirements management, Software system, Tracing, Systems engineering and Probabilistic logic. Her Requirements management research is multidisciplinary, incorporating perspectives in Risk analysis and Requirements elicitation.
Her Software engineering study combines topics in areas such as Software maintenance, Software development and Software development process. Her research in Requirements traceability tackles topics such as Reverse semantic traceability which are related to areas like Traceability matrix and Software verification and validation. Her primary area of study in Software is in the field of Domain analysis.
Her main research concerns Traceability, Software engineering, Software, TRACE and Requirements traceability. Her Traceability research integrates issues from Software system, Tracing, Systems engineering, Risk analysis and Source code. Her Software engineering study incorporates themes from Software maintenance, Software development, Requirements engineering, Software architecture and Requirements analysis.
Her studies examine the connections between Software and genetics, as well as such issues in Domain, with regards to Domain knowledge. Her research in Requirements traceability intersects with topics in Traceability matrix, Reverse semantic traceability, Formal specification, Software verification and validation and Process management. Her Data mining study combines topics from a wide range of disciplines, such as Probabilistic logic and Cluster analysis.
Her primary scientific interests are in Software, Traceability, TRACE, Source code and Domain. Her work on Requirements engineering as part of general Software research is frequently linked to Natural disaster, bridging the gap between disciplines. Her research integrates issues of Information retrieval and Tracing in her study of Traceability.
Jane Cleland-Huang has included themes like Software system, Commit, Artificial intelligence, Code refactoring and Machine learning in her Source code study. Her research on Domain concerns the broader Software engineering. The Software engineering study combines topics in areas such as Ontology, Semantic network and Semantic Web.
Jane Cleland-Huang mainly focuses on Software, Traceability, Process management, Source code and Software system. The various areas that Jane Cleland-Huang examines in her Software study include Domain, Software engineering and Distributed computing. Her Traceability research includes themes of Tracing and Data science.
The concepts of her Process management study are interwoven with issues in Goal modeling and Software evolution. Her studies deal with areas such as Software development, Classifier, Task analysis, Information retrieval and Commit as well as Source code. Her study in Software system is interdisciplinary in nature, drawing from both Knowledge sharing and Life-critical system.
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.
Event-based traceability for managing evolutionary change
J. Cleland-Huang;C.K. Chang;M. Christensen.
IEEE Transactions on Software Engineering (2003)
Software traceability: trends and future directions
Jane Cleland-Huang;Orlena C. Z. Gotel;Jane Huffman Hayes;Patrick Mäder.
international conference on software engineering (2014)
Goal-centric traceability for managing non-functional requirements
Jane Cleland-Huang;Raffaella Settimi;Oussama BenKhadra;Eugenia Berezhanskaya.
international conference on software engineering (2005)
Best Practices for Automated Traceability
J. Cleland-Huang;R. Settimi;E. Romanova;B. Berenbach.
IEEE Computer (2007)
Utilizing supporting evidence to improve dynamic requirements traceability
J. Cleland-Huang;R. Settimi;Chuan Duan;Xuchang Zou.
international conference on requirements engineering (2005)
Software and Systems Traceability
Jane Cleland-Huang;Orlena Gotel;Andrea Zisman.
Automated classification of non-functional requirements
Jane Cleland-Huang;Raffaella Settimi;Xuchang Zou;Peter Solc.
Requirements Engineering (2007)
The Detection and Classification of Non-Functional Requirements with Application to Early Aspects
J. Cleland-Huang;R. Settimi;Xuchang Zou;P. Solc.
ieee international conference on requirements engineering (2006)
A machine learning approach for tracing regulatory codes to product specific requirements
Jane Cleland-Huang;Adam Czauderna;Marek Gibiec;John Emenecker.
international conference on software engineering (2010)
On-demand feature recommendations derived from mining public product descriptions
Horatiu Dumitru;Marek Gibiec;Negar Hariri;Jane Cleland-Huang.
international conference on software engineering (2011)
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: