Creating Thorough Tests for AI-Generated Code is Hard-Reference-Cited by-同舟云学术

Creating Thorough Tests for AI-Generated Code is Hard

Published:2023-12-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th Annual ACM India Compute Conference
language:
Short-container-title:

Author:

Singhal Shreya¹^ORCID,Kumar Viraj²^ORCID

Affiliation:

1. Indian Institute of Technology, India

2. Indian Institute of Science, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627217.3627238

Reference15 articles.

1. Timothy Alan Budd. 1980. Mutation Analysis of Program Test Data. Ph. D. Dissertation. USA. AAI8025191. Timothy Alan Budd. 1980. Mutation Analysis of Program Test Data. Ph. D. Dissertation. USA. AAI8025191.

2. Mark Chen , Jerry Tworek , Heewoo Jun , Qiming Yuan , Henrique Ponde de Oliveira Pinto , Jared Kaplan, Harri Edwards, Yuri Burda , Nicholas Joseph, Greg Brockman , 2021 . Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374 (2021). Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, 2021. Evaluating large language models trained on code. arXiv preprint arXiv:2107.03374 (2021).

3. Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language

4. Matthias Felleisen , Robert Bruce Findler , Matthew Flatt , and Shriram Krishnamurthi . 2018. How to Design Programs: An Introduction to Programming and Computing . The MIT Press . Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishnamurthi. 2018. How to Design Programs: An Introduction to Programming and Computing. The MIT Press.

5. Property-based testing