Toward Reference Models for Requirements Traceability
IEEE Transactions on Software Engineering
Recovering Traceability Links between Code and Documentation
IEEE Transactions on Software Engineering
Goal-centric traceability for managing non-functional requirements
Proceedings of the 27th international conference on Software engineering
Advancing Candidate Link Generation for Requirements Tracing: The Study of Methods
IEEE Transactions on Software Engineering
Poirot: A Distributed Tool Supporting Enterprise-Wide Automated Traceability
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Clustering support for automated tracing
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Challenges for semi-automatic trace recovery in the automotive domain
TEFSE '09 Proceedings of the 2009 ICSE Workshop on Traceability in Emerging Forms of Software Engineering
Requirements Engineering Visualization: A Survey on the State-of-the-Art
REV '09 Proceedings of the 2009 Fourth International Workshop on Requirements Engineering Visualization
Software traceability with topic modeling
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
A survey of traceability in requirements engineering and model-driven development
Software and Systems Modeling (SoSyM)
A study to support agile methods more effectively through traceability
Innovations in Systems and Software Engineering
Which traceability visualization is suitable in this context? a comparative study
REFSQ'12 Proceedings of the 18th international conference on Requirements Engineering: foundation for software quality
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Automated traceability facilitates the dynamic generation of candidate links between requirements and other software artifacts. It provides an alternative option to the arduous and error-prone process of manually creating and maintaining a trace matrix. However the result set contains both true and false links which must therefore be evaluated by an analyst. Current approaches display the candidate links to the user in a relatively bland textual format. This position paper proposes several visualization techniques for helping analysts to evaluate sets of candidate links. The techniques are illustrated using examples from the Ice Breaker System.