Recovering traceability links in software artifact management systems using information retrieval methods
By Andrea De Lucia, Fausto Fasano, Rocco Oliveto, G. Tortora. TSEM, 2007
414 citations recorded by the source corpus.
Subfields: Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/75ff8f088c8e60e6a91685b2e46d4c8483295e42
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Jane Cleland-Huang
- Jin L.C. Guo
- Stefan Winkler
- Jinghui Cheng
- Jens Henning von Pilgrim
- Artur Andrzejak
- Lutz Büch
In Software
Citations in the corpus
- A survey of traceability in requirements engineering and model-driven development (2010, background): “[46] and Lormans and van Deursen [113] have analyzed the impact of different strategies to post-process the list of candidate links in order to further reduce the amount of manual work.”
- Semantically Enhanced Software Traceability Using Deep Learning Techniques (2017, methodology): “This dataset is considerably larger than those used in most previous studies on requirements traceability [5], [44], [34] and the task of creating links across such a large dataset represents a challenging industrial-strength tracing problem.”