Navigating Complexity in Software Engineering: A Prototype for Comparing GPT-n Solutions

28 January 2023

Papers citing "Navigating Complexity in Software Engineering: A Prototype for Comparing GPT-n Solutions"

8 / 8 papers shown

Title
Using Large Language Models to Enhance Programming Error Messages Juho Leinonen Arto Hellas Sami Sarsa B. Reeves Paul Denny James Prather Brett A. Becker 45 184 0 20 Oct 2022
Taming Multi-Output Recommenders for Software Engineering Christoph Treude 58 4 0 31 Jul 2022
Investigating Explainability of Generative AI for Code through Scenario-based Design Jiao Sun Q. V. Liao Michael J. Muller Mayank Agarwal Stephanie Houde Kartik Talamadupula Justin D. Weisz 50 158 0 10 Feb 2022
What are Weak Links in the npm Supply Chain? Nusrat Zahan Thomas Zimmermann Patrice Godefroid Brendan Murphy C. Maddila Laurie A. Williams 52 106 0 19 Dec 2021
Evaluating Large Language Models Trained on Code Mark Chen Jerry Tworek Heewoo Jun Qiming Yuan Henrique Pondé ... Bob McGrew Dario Amodei Sam McCandlish Ilya Sutskever Wojciech Zaremba ELM ALM 217 5,513 0 07 Jul 2021
Unified Pre-training for Program Understanding and Generation Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 125 765 0 10 Mar 2021
Automated Query Reformulation for Efficient Search based on Query Logs From Stack Overflow Kaibo Cao Chunyang Chen Sebastian Baltes Christoph Treude Xiang Chen 67 60 0 01 Feb 2021
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 151 2,626 0 19 Feb 2020