ICSE 2024 (series) / MSR 2024 (series) / Mining Challenge /
The role of library versions in Developer-ChatGPT conversations
Mon 15 Apr 2024 14:30 - 14:35 at Almada Negreiros - Mining Challenge Chair(s): Preetha Chatterjee, Fabio Palomba
The latest breakthroughs in large language models (LLM) have empowered software development tools, such as ChatGPT, to aid developers in complex tasks. Developers use ChatGPT to write code, review code changes, and even debug their programs. In these interactions, ChatGPT often recommends code snippets that depend on external libraries. However, code from libraries changes over time, invalidating a once-correct code snippet and making it difficult to reuse recommended code.
In this study, we analyze DevGPT, a dataset of more than 4,000 Developer-ChatGPT interactions, to understand the role of library versions in code-related conversations. We quantify how often library version constraints are mentioned in code-related conversations and when ChatGPT recommends the installation of specific libraries. Our findings show that, albeit to constantly recommend and analyze code with external dependencies, library version constraints only appear in 15% of the conversations. In the majority of conversations, the version constraints are prompted by users (as opposed to being specified by ChatGPT) as a method for receiving better quality responses. Moreover, we study how library version constraints are used in the conversation through qualitative methods, identifying several potential problems that warrant further research.
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 | ||
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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 | ||
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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 | ||
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