TY - GEN
T1 - Adapting Word Embeddings to Traceability Recovery
AU - Tian, Qingsong
AU - Cao, Qinghua
AU - Sun, Qing
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Maintaining the traceability links of a software is tedious, error-prone task, but an essential requirement. Information retrieval has been approached to help to generate traceability links. Traceability links are usually determined by the similarity between two artifacts. However, methods are put forward mainly based on vector space model, topic model etc. which ignored the word semantic. According to that, this paper adapts the popular word embedding technique to traceability recovery tasks, and handle the out-of-vocabulary words at test time. In the end, a machine learning method is used (learning to rank) to improve our final result. Several contrast experiments are conducted on five public datasets, and the baseline methods are outperformed under the same condition.
AB - Maintaining the traceability links of a software is tedious, error-prone task, but an essential requirement. Information retrieval has been approached to help to generate traceability links. Traceability links are usually determined by the similarity between two artifacts. However, methods are put forward mainly based on vector space model, topic model etc. which ignored the word semantic. According to that, this paper adapts the popular word embedding technique to traceability recovery tasks, and handle the out-of-vocabulary words at test time. In the end, a machine learning method is used (learning to rank) to improve our final result. Several contrast experiments are conducted on five public datasets, and the baseline methods are outperformed under the same condition.
KW - information retrieval
KW - similarity
KW - traceability
UR - https://www.scopus.com/pages/publications/85063903933
U2 - 10.1109/ICISCAE.2018.8666883
DO - 10.1109/ICISCAE.2018.8666883
M3 - 会议稿件
AN - SCOPUS:85063903933
T3 - Proceedings of 2018 International Conference on Information Systems and Computer Aided Education, ICISCAE 2018
SP - 255
EP - 261
BT - Proceedings of 2018 International Conference on Information Systems and Computer Aided Education, ICISCAE 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Information Systems and Computer Aided Education, ICISCAE 2018
Y2 - 6 July 2018 through 8 July 2018
ER -