ESEC/FSE 2022 (series) / ESEC/FSE 2020 /
API Method Recommendation via Explicit Matching of Functionality Verb Phrases
Mon 14 NovDisplayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
Mon 14 Nov
Displayed time zone: Beijing, Chongqing, Hong Kong, Urumqi change
14:00 - 15:30 | ESEC/FSE 20 PerspectivesESEC/FSE 2020 at SRC LT 52 Chair(s): Mauro Pezze USI Lugano; Schaffhausen Institute of Technology | ||
14:00 15mTalk | Understanding Type Changes in Java ESEC/FSE 2020 Ameya Ketkar Oregon State University, USA, Nikolaos Tsantalis Concordia University, Danny Dig University of Colorado Boulder, USA | ||
14:15 15mTalk | Thinking Aloud about Confusing Code: A Qualitative Investigation of Program Comprehension and Atoms of Confusion ESEC/FSE 2020 Dan Gopstein New York University, USA, Anne-Laure Fayard New York University, USA, Sven Apel Saarland University, Justin Cappos | ||
14:30 15mTalk | An Empirical Study of Bots in Software Development: Characteristics and Challenges from a Practitioner’s Perspective ESEC/FSE 2020 Linda Erlenhov Chalmers University of Technology, Sweden / University of Gothenburg, Sweden, Francisco Gomes de Oliveira Neto Chalmers University of Technology, Sweden / University of Gothenburg, Sweden, Philipp Leitner Chalmers University of Technology, Sweden / University of Gothenburg, Sweden Link to publication Media Attached | ||
14:45 15mTalk | Understanding the Impact of GitHub Suggested Changes on Recommendations between Developers ESEC/FSE 2020 | ||
15:00 15mTalk | API Method Recommendation via Explicit Matching of Functionality Verb Phrases ESEC/FSE 2020 Wenkai Xie Fudan University, China, Xin Peng Fudan University, Mingwei Liu Fudan University, Christoph Treude University of Melbourne, Zhenchang Xing CSIRO’s Data61; Australian National University, Xiaoxin Zhang Fudan University, Wenyun Zhao Fudan University, China | ||
15:15 15mTalk | On Decomposing a Deep Neural Network into Modules ESEC/FSE 2020 | ||