Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery
Author:
Affiliation:
1. State Key Lab for Novel Software Technology, Nanjing University, China
2. Insititute for Software Systems, JOHANNES KEPLER UNIVERSITY LINZ, China
3. Fakultät für Informatik und Automatisierung, Technische Universität Ilmenau, Germany
Funder
the Austrian Science Fund (FWF)
the National Natural Science Foundation of China
the German Ministry of Education and Research (BMBF)
the general program of the State Key Laboratory for Novel Software Technology
DFG
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3551349.3556948
Reference65 articles.
1. A Traceability Technique for Specifications
2. Nasir Ali , Haipeng Cai , Abdelwahab Hamou-Lhadj , and Jameleddine Hassine . 2018. Exploiting Parts-of-Speech for Effective Automated Requirements Traceability. Information and Software Technology 106 (09 2018 ). https://doi.org/10.1016/j.infsof.2018.09.009 10.1016/j.infsof.2018.09.009 Nasir Ali, Haipeng Cai, Abdelwahab Hamou-Lhadj, and Jameleddine Hassine. 2018. Exploiting Parts-of-Speech for Effective Automated Requirements Traceability. Information and Software Technology 106 (09 2018). https://doi.org/10.1016/j.infsof.2018.09.009
3. Exploiting Parts-of-Speech for effective automated requirements traceability
4. An empirical study on requirements traceability using eye-tracking
5. An empirical study on the importance of source code entities for requirements traceability
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