API-related Developer Information Needs in Stack Overflow
Fri 13 May 2022 12:00 - 12:05 at ICSE room 4-even hours - Software Ecosystems 3 Chair(s): Christina von Flach
Stack Overflow (SO) provides informal documentation for APIs in response to questions that express API related developer needs. Navigating the information available on SO and getting information related to a particular API and need is challenging due to the vast amount of questions and answers and the tag-driven structure of SO. In this paper we focus on identifying and classifying fine-grained developer needs expressed in sentences of API-related SO questions, as well as the specific information types used to express such needs, and the different roles APIs play in these questions and their answers. We derive a taxonomy, complementing existing ones, through an empirical study of 266 SO posts. We then develop and evaluate an approach for the automated identification of the fine-grained developer needs in SO threads, which takes a thread as input and outputs the corresponding developer needs, the types of information expressing them, and the roles of API elements relevant to the needs. To show a practical application of our taxonomy, we introduce and evaluate an approach for the automated retrieval of SO questions, based on these developer needs.
Wed 11 MayDisplayed time zone: Eastern Time (US & Canada) change
03:00 - 04:00 | Software Ecosystems 1Technical Track / Journal-First Papers at ICSE room 2-odd hours Chair(s): Massimiliano Di Penta University of Sannio, Italy | ||
03:00 5mTalk | API-related Developer Information Needs in Stack Overflow Journal-First Papers Mingwei Liu Fudan University, Xin Peng Fudan University, Andrian Marcus University of Texas at Dallas, Shuangshuang Xing Fudan University, Christoph Treude University of Melbourne, Chengyuan Zhao Fudan University Link to publication DOI Pre-print Media Attached | ||
03:05 5mTalk | GitHub Discussions: An exploratory study of early adoption Journal-First Papers Hideaki Hata Shinshu University, Nicole Novielli University of Bari, Sebastian Baltes SAP SE & University of Adelaide, Raula Gaikovina Kula Nara Institute of Science and Technology, Christoph Treude University of Melbourne Link to publication DOI Pre-print Media Attached | ||
03:10 5mTalk | An Exploratory Study of Deep Learning Supply Chain Technical Track Xin Tan Beihang University, China, Kai Gao Peking University, China, Minghui Zhou Peking University, China, Li Zhang Beihang University Pre-print Media Attached | ||
03:15 5mTalk | Demystifying the Vulnerability Propagation and Its Evolution via Dependency Trees in the NPM Ecosystem Technical Track Chengwei Liu Tianjin University and Nanyang Technological University, Sen Chen Tianjin University, Lingling Fan Nankai University, Bihuan Chen Fudan University, China, Yang Liu Nanyang Technological University, Xin Peng Fudan University Pre-print Media Attached | ||