Learning Deep Semantics for Test Completion-Reference-Cited by-同舟云学术

Learning Deep Semantics for Test Completion

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
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Author:

Nie Pengyu¹,Banerjee Rahul¹,Li Junyi Jessy¹,Mooney Raymond J.¹,Gligoric Milos¹

Affiliation:

1. UT,Austin,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10172484/10172342/10172620.pdf?arnumber=10172620

Reference91 articles.

1. Deep code comment generation with hybrid lexical and syntactical information;hu;Empirical Software Engineering,2019

2. Testing across configurations

3. An empirical investigation of statistical significance in NLP;berg-kirkpatrick;Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning,0

4. EvoSuite

5. ORANGE

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