1. College of Computer Science and Technology, Wuhan University of Technology, Wuhan Hubei 430063, China; 2. Hubei Key Laboratory of Transportation Internet of Things, Wuhan University of Technology, Wuhan Hubei 430070, China
SHEN Li, LIU Hongxing, LI Yonghua. Automatic tracing method from Chinese document to source code based on version control[J]. Journal of Computer Applications, 2018, 38(10): 2996-3001.
[1] GOTEL O C Z, FINKELSTEIN A C W. An analysis of the requirements traceability problem[C]//Proceedings of the 1994 International Conference on Requirements Engineering. Piscataway, NJ:IEEE, 1994:94-101. [2] KUANG H, NIE J, HU H, et al. Analyzing closeness of code dependencies for improving IR-based traceability recovery[C]//Proceedings of the 2017 International Conference on Software Analysis, Evolution and Reengineering. Piscataway, NJ:IEEE, 2017:68-78. [3] MAHMOUD A, NIU N. On the role of semantics in automated requirements tracing[J]. Requirements Engineering, 2015, 20(3):281-300. [4] JYOTI, CHHABRA J K. Requirements traceability through information retrieval using dynamic integration of structural and co-change coupling[C]//Proceedings of the 2017 International Conference on Advanced Informatics for Computing Research. Berlin:Springer, 2017:107-118. [5] PANICHELLA A, LUCIA A D, ZAIDMAN A. Adaptive user feedback for IR-based traceability recovery[C]//Proceedings of the 2015 International Symposium on Software and Systems Traceability. Piscataway, NJ:IEEE, 2015:15-21. [6] PANICHELLA A, McMILLAN C, MORITZ E, et al. When and how using structural information to improve IR-based traceability recovery[C]//Proceedings of the 2013 European Conference on Software Maintenance and Reengineering. Piscataway, NJ:IEEE, 2013:199-208. [7] RAHIMI M, GOSS W, CLELANDHUANG J. Evolving requirements-to-code trace links across versions of a software system[C]//Proceedings of the 2016 International Conference on Software Maintenance and Evolution. Washington, DC:IEEE Computer Society, 2016:99-109. [8] The stanford NLP group. The stanford parser:a statistical parser[EB/OL].[2018-01-15]. https://nlp.stanford.edu/software/lex-parser.shtml. [9] SVNKit[EB/OL].[2018-01-15]. https://svnkit.com/. [10] 中国科学院计算技术研究所.NLPIR汉语分词系统[EB/OL].[2018-01-15]. http://ictclas.nlpir.org/.(Institute of Computing Technology Chinese Academy of Sciences. Chinese lexical analysis system[EB/OL].[2018-01-15]. http://ictclas.nlpir.org/.) [11] MANNING C D, RAGHAVAN P. Introduction to Information Retrieval[M]. Cambridge:Cambridge University Press, 2010:76-92. [12] LI Y, CLELANDHUANG J. Ontology-based trace retrieval[C]//Proceedings of the 2013 International Workshop on Traceability in Emerging Forms of Software Engineering. Piscataway, NJ:IEEE, 2013:30-36. [13] R core team. The R project for statistical computing[EB/OL].[2018-01-15]. https://www.R-project.org/.