Software packages form the backbone of software systems, significantly influencing their functionality, efficiency, and long-term maintainability. As developers increasingly turn to Large Language Models (LLMs) to streamline software development tasks, the ability of these models to accurately recommend suitable packages becomes critical. However, LLMs lack the ability to provide real-time information about package details such as license, dependencies, or even their existence. This can lead to the integration of outdated, incompatible, or legally restrictive packages, which could compromise the software’s quality and legal standing. In this paper, we introduce the Software Librarian, a tool that provides real-time information about Python packages recommended as part of the generated code by GitHub Copilot, including license details, deprecation status, and package health. Our tool ensures that the recommended packages are not only valid but are also suitable for integration. To support future research, we have made the Software Librarian available on the Visual Studio Marketplace (https://marketplace.visualstudio.com/items?itemName=jaslatendresse.software-librarian) and released the code online (https://github.com/jaslatendresse/software-librarian-prod). A demonstration can be viewed at https://youtu.be/hnPr0rvL8lk.
Thu 1 MayDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30 | AI for Design and ArchitectureDemonstrations / SE In Practice (SEIP) / Research Track at 211 Chair(s): Sarah Nadi New York University Abu Dhabi | ||
11:00 15mTalk | An LLM-Based Agent-Oriented Approach for Automated Code Design Issue Localization Research Track Fraol Batole Tulane University, David OBrien Iowa State University, Tien N. Nguyen University of Texas at Dallas, Robert Dyer University of Nebraska-Lincoln, Hridesh Rajan Tulane University | ||
11:15 15mTalk | Distilled Lifelong Self-Adaptation for Configurable Systems Research Track Yulong Ye University of Birmingham, Tao Chen University of Birmingham, Miqing Li University of Birmingham Pre-print | ||
11:30 15mTalk | The Software Librarian: Python Package Insights for Copilot Demonstrations Jasmine Latendresse Concordia University, Nawres Day ISSAT Sousse, SayedHassan Khatoonabadi Concordia University, Montreal, Emad Shihab Concordia University, Montreal | ||
11:45 15mTalk | aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing SE In Practice (SEIP) Siyuan Jiang , Jia Li Peking University, He Zong aiXcoder, Huanyu Liu Peking University, Hao Zhu Peking University, Shukai Hu aiXcoder, Erlu Li aiXcoder, Jiazheng Ding aiXcoder, Ge Li Peking University Pre-print | ||
12:00 15mTalk | Leveraging MLOps: Developing a Sequential Classification System for RFQ Documents in Electrical Engineering SE In Practice (SEIP) Claudio Martens Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Hammam Abdelwahab Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Katharina Beckh Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Birgit Kirsch Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Vishwani Gupta Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Dennis Wegener Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS), Steffen Hoh Schneider Electric | ||
12:15 15mTalk | On Mitigating Code LLM Hallucinations with API Documentation SE In Practice (SEIP) Nihal Jain Amazon Web Services, Robert Kwiatkowski , Baishakhi Ray Columbia University, Murali Krishna Ramanathan AWS AI Labs, Varun Kumar AWS AI Labs | ||