ICSE 2024 (series) / MSR 2024 (series) / Mining Challenge /
ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle
Mon 15 Apr 2024 14:00 - 14:05 at Almada Negreiros - Mining Challenge Chair(s): Preetha Chatterjee, Fabio Palomba
The software development landscape has undergone a significant shift with the advent of Large Language Models (LLMs) such as ChatGPT. These models, renowned for their ability to generate text that closely mimics human language, have become essential in aiding developers in a variety of tasks, ranging from code generation to issue resolution. Nevertheless, the effectiveness of these interactions largely hinges on the nature of the prompts provided by developers. Hence, this study delves into the DevGPT dataset, a rich collection of developer-ChatGPT dialogues, to unearth the patterns in prompts that lead to effective problem resolutions. The underlying motivation for this research is to enhance the collaboration between human developers and AI tools, thereby improving productivity and problem-solving efficacy in software development. Utilizing a combination of textual analysis and data-driven approaches, this paper seeks to identify the attributes of prompts that are associated with successful interactions, providing crucial insights for the strategic employment of ChatGPT in software engineering environments.
Mon 15 AprDisplayed time zone: Lisbon change
Mon 15 Apr
Displayed time zone: Lisbon change
14:00 - 15:30 | Mining ChallengeMining Challenge at Almada Negreiros Chair(s): Preetha Chatterjee Drexel University, USA, Fabio Palomba University of Salerno | ||
14:00 5mTalk | ChatGPT Chats Decoded: Uncovering Prompt Patterns for Superior Solutions in Software Development Lifecycle Mining Challenge Liangxuan Wu Huazhong University of Science and Technology, Yanjie Zhao Huazhong University of Science and Technology, Xinyi Hou Huazhong University of Science and Technology, Tianming Liu Monash Univerisity, Haoyu Wang Huazhong University of Science and Technology | ||
14:05 5mTalk | Write me this Code: An Analysis of ChatGPT Quality for Producing Source Code Mining Challenge Konstantinos Moratis Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Themistoklis Diamantopoulos Electrical and Computer Engineering Dept, Aristotle University of Thessaloniki, Dimitrios-Nikitas Nastos Electrical and Computer Engineering Dept., Aristotle University of Thessaloniki, Andreas Symeonidis Aristotle University of Thessaloniki Pre-print | ||
14:10 5mTalk | Quality Assessment of ChatGPT Generated Code and their Use by Developers Mining Challenge Mohammed Latif Siddiq University of Notre Dame, Lindsay Roney University of Notre Dame, Jiahao Zhang , Joanna C. S. Santos University of Notre Dame Pre-print Media Attached File Attached | ||
14:15 5mTalk | Analyzing Developer Use of ChatGPT Generated Code in Open Source GitHub Projects Mining Challenge Balreet Grewal University of Alberta, Wentao Lu University of Alberta, Sarah Nadi New York University Abu Dhabi, University of Alberta, Cor-Paul Bezemer University of Alberta Pre-print | ||
14:20 5mTalk | How I Learned to Stop Worrying and Love ChatGPT Mining Challenge Piotr Przymus Nicolaus Copernicus University in Toruń, Poland, Mikołaj Fejzer Nicolaus Copernicus University in Toruń, Jakub Narębski Nicolaus Copernicus University in Toruń, Krzysztof Stencel University of Warsaw Pre-print | ||
14:25 5mTalk | Can ChatGPT Support Developers? An Empirical Evaluation of Large Language Models for Code Generation. Mining Challenge Kailun Jin York University, Chung-Yu Wang York University, Hung Viet Pham York University, Hadi Hemmati York University Pre-print | ||
14:30 5mTalk | The role of library versions in Developer-ChatGPT conversations Mining Challenge Pre-print | ||
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14:45 5mTalk | Chatting with AI: Deciphering Developer Conversations with ChatGPT Mining Challenge Suad Mohamed Belmont University, Abdullah Parvin Belmont University, Esteban Parra Belmont University | ||
14:50 5mTalk | Does Generative AI Generate Smells Related to Container Orchestration?: An Exploratory Study with Kubernetes Manifests Mining Challenge Yue Zhang Auburn University, Rachel Meredith Auburn University, Wilson Reaves Auburn University, Julia Coriolano Federal University of Pernambuco, Muhammad Ali Babar School of Computer Science, The University of Adelaide, Akond Rahman Auburn University Pre-print | ||
14:55 5mTalk | On the Taxonomy of Developers' Discussion Topics with ChatGPT Mining Challenge | ||
15:00 5mTalk | How to refactor this code? An exploratory study on developer-ChatGPT refactoring conversations Mining Challenge Eman Abdullah AlOmar Stevens Institute of Technology, AnushKrishna Venkatakrishnan Rochester Institute of Technology, USA, Mohamed Wiem Mkaouer University of Michigan - Flint, Christian Newman , Ali Ouni ETS Montreal, University of Quebec | ||
15:05 5mTalk | Analyzing Developer-ChatGPT Conversations for Software Refactoring: An Exploratory Study Mining Challenge Omkar Sandip Chavan Rochester Institute of Technology, Divya Dilip Hinge Rochester Institute of Technology, Soham Sanjay Deo Rochester Institute of Technology, Yaxuan (Olivia) Wang Rochester Institute of Technology, Mohamed Wiem Mkaouer University of Michigan - Flint | ||
15:10 5mTalk | How Do Software Developers Use ChatGPT? An Exploratory Study on GitHub Pull Requests Mining Challenge Moataz Chouchen ETS, Narjes Bessghaier ETS Montreal, University of Quebec, Mahi Begoug , Ali Ouni ETS Montreal, University of Quebec, Eman Abdullah AlOmar Stevens Institute of Technology, Mohamed Wiem Mkaouer University of Michigan - Flint | ||
15:15 5mTalk | Investigating the Utility of ChatGPT in the Issue Tracking System: An Exploratory Study Mining Challenge Joy Krishan Das University of Saskatchewan, Saikat Mondal University of Saskatchewan, Chanchal K. Roy University of Saskatchewan, Canada Pre-print | ||
15:20 5mTalk | Enhancing User Interaction in ChatGPT: Characterizing and Consolidating Multiple Prompts for Issue Resolution Mining Challenge Saikat Mondal University of Saskatchewan, Suborno Deb Bappon Department of Computer Science, University of Saskatchewan, Canada, Chanchal K. Roy University of Saskatchewan, Canada Pre-print | ||