|
|
Semantic similarity-based program retrieval: a multi-relational graph perspective |
Qianwen GOU1, Yunwei DONG1(), YuJiao WU1, Qiao KE2 |
1. School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China 2. School of Mathematics and Statistics, Northwestern Polytechnical University, Xi’an 710129, China |
|
|
|
Corresponding Author(s):
Yunwei DONG
|
About author: Peng Lei and Charity Ngina Mwangi contributed equally to this work. |
Just Accepted Date: 13 September 2023
Issue Date: 17 November 2023
|
|
1 |
Sadowski C, Stolee K T, Elbaum S. How developers search for code: a case study. In: Proceedings of the 10th Joint Meeting on Foundations of Software Engineering. 2015, 191–201
|
2 |
X, Ling L, Wu S, Wang G, Pan T, Ma F, Xu A X, Liu C, Wu S Ji . Deep graph matching and searching for semantic code retrieval. ACM Transactions on Knowledge Discovery from Data, 2021, 15( 5): 88
|
3 |
F, Yamaguchi N, Golde D, Arp K Rieck . Modeling and discovering vulnerabilities with code property graphs. In: Proceedings of 2014 IEEE Symposium on Security and Privacy. 2014, 590–604
|
4 |
L, Banarescu C, Bonial S, Cai M, Georgescu K, Griffitt U, Hermjakob K, Knight P, Koehn M, Palmer N Schneider . Abstract meaning representation for sembanking. In: Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse. 2013, 178–186
|
5 |
Feng Z, Guo D, Tang D, Duan N, Feng X, Gong M, Shou L, Qin B, Liu T, Jiang D, Zhou M. CodeBERT: a pre-trained model for programming and natural languages. In: Proceedings of Findings of the Association for Computational Linguistics: EMNLP 2020. 2020, 1536–1547
|
6 |
Cambronero J, Li H, Kim S, Sen K, Chandra S. When deep learning met code search. In: Proceedings of the 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. 2019, 964−974
|
7 |
Gu X, Zhang H, Kim S. Deep code search. In: Proceedings of the 40th IEEE/ACM International Conference on Software Engineering. 2018, 933−944
|
8 |
J, Shuai L, Xu C, Liu M, Yan X, Xia Y Lei . Improving code search with co-attentive representation learning. In: Proceedings of the 28th International Conference on Program Comprehension. 2020, 196−207
|
9 |
L, Xu H, Yang C, Liu J, Shuai M, Yan Y, Lei Z Xu . Two-stage attention-based model for code search with textual and structural features. In: Proceedings of 2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER). 2021, 342−353
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|