SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair-Reference-Cited by-同舟云学术

SEQUENCER: Sequence-to-Sequence Learning for End-to-End Program Repair

Published:2021 Issue: Volume: Page:1-1
ISSN:0098-5589
Container-title:IEEE Transactions on Software Engineering
language:
Short-container-title:IIEEE Trans. Software Eng.

Author:

Chen Zimin¹,Kommrusch Steve James²,Tufano Michele³,Pouchet Louis-Noel⁴,Poshyvanyk Denys⁵,Monperrus Martin⁶

Affiliation:

1. Department of Theoretical Computer Science (TCS), Kungliga Tekniska Hogskolan, 7655 Stockholm, Stockholm Sweden (e-mail: zimin@kth.se)

2. Computer Science, Colorado State University, 3447 Fort Collins, Colorado United States 80523-1019 (e-mail: steve.kommrusch@gmail.com)

3. Computer Science, College of William and Mary, 8604 Williamsburg, Virginia United States 23187-8795 (e-mail: mtufano@email.wm.edu)

4. Computer Science, colorado state university, Fort Collins, Colorado United States (e-mail: pouchet@cs.ucla.edu)

5. Computer Science, William and Mary, Williamsburg, Virginia United States 23188 (e-mail: denys@cs.wm.edu)

6. Department of Theoretical Computer Science (TCS), KTH Royal Institute of Technology, 7655 Stockholm, Stockholm Sweden (e-mail: martin.monperrus@csc.kth.se)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Link

http://xplorestaging.ieee.org/ielx7/32/4359463/08827954.pdf?arnumber=8827954

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