A feasibility study of using automated program repair for introductory programming assignments-Reference-Cited by-同舟云学术

A feasibility study of using automated program repair for introductory programming assignments

Published:2017-08-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering
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Author:

Yi Jooyong¹,Ahmed Umair Z.²,Karkare Amey²,Tan Shin Hwei³,Roychoudhury Abhik³

Affiliation:

1. Innopolis University, Russia

2. IIT Kanpur, India

3. National University of Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3106237.3106262

Reference61 articles.

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2. LAURA A System to Debug Student Programs. Artif. Intell. 15 1-2 (1980) 75–122. 10.1016/0004-3702(80)90023-5 LAURA A System to Debug Student Programs. Artif. Intell. 15 1-2 (1980) 75–122. 10.1016/0004-3702(80)90023-5

3. Tiffany Barnes and John C. Stamper. 2008. Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data. In Intelligent Tutoring Systems. 373–382. 10.1007/978-3-540-69132-7_41 Tiffany Barnes and John C. Stamper. 2008. Toward Automatic Hint Generation for Logic Proof Tutoring Using Historical Student Data. In Intelligent Tutoring Systems. 373–382. 10.1007/978-3-540-69132-7_41

4. Geoff Birch Bernd Fischer and Michael Poppleton. 2016. Geoff Birch Bernd Fischer and Michael Poppleton. 2016.

5. Using Fast Model-Based Fault Localisation to Aid Students in Self-Guided Program Repair and to Improve Assessment

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