Code reuse is an important part of software development. The adoption of code reuse practices is especially common among Node.js developers. The Node.js package manager, NPM, indexes over 1 Million packages and developers often seek out packages to solve programming tasks. Due to the vast number of packages, selecting the right package is difficult and time consuming. With the goal of improving productivity of developers that heavily reuse code through third-party packages, we present Node Code Query (NCQ), a Read-Eval-Print-Loop environment that allows developers to 1) search for NPM packages using natural language queries, 2) search for code snippets related to those packages, 3) automatically correct errors in these code snippets, 4) quickly setup new environments for testing those snippets, and 5) transition between search and editing modes. In two user studies with a total of 20 participants, we find that participants begin programming faster and conclude tasks faster with NCQ than with baseline approaches, and that they like, among other features, the search for code snippets and packages. Our results suggest that NCQ makes Node.js developers more efficient in reusing code.
Tue 5 DecDisplayed time zone: Pacific Time (US & Canada) change
16:00 - 18:00 | Code Search and Text to CodeResearch Papers / Industry Papers / Journal First / Demonstrations at Golden Gate A Chair(s): Miryung Kim University of California at Los Angeles, USA | ||
16:00 15mTalk | [Remote] Self-Supervised Query Reformulation for Code Search Research Papers Yuetian Mao Shanghai Jiao Tong University, Chengcheng Wan East China Normal University, Yuze Jiang Shanghai Jiao Tong University, Xiaodong Gu Shanghai Jiao Tong University Media Attached | ||
16:15 15mTalk | [Remote] Natural Language to Code: How Far are We? Research Papers Shangwen Wang National University of Defense Technology, Mingyang Geng National University of Defense Technology, Bo Lin National University of Defense Technology, Zhensu Sun Singapore Management University, Ming Wen Huazhong University of Science and Technology, Yepang Liu Southern University of Science and Technology, Li Li Beihang University, Tegawendé F. Bissyandé University of Luxembourg, Xiaoguang Mao National University of Defense Technology DOI Pre-print Media Attached | ||
16:30 15mTalk | [Remote] xASTNN: Improved Code Representations for Industrial Practice Industry Papers Zhiwei Xu Tsinghua University, Min Zhou Tsinghua University, Xibin Zhao Tsinghua University, Yang Chen Huazhong University of Science and Technology, Xi Cheng VMware, Hongyu Zhang Chongqing University DOI Media Attached | ||
16:45 7mTalk | [Remote] On the Dual Nature of Necessity in Use of Rust Unsafe Code Industry Papers Yuchen Zhang New York University, USA, Ashish Kundu Cisco Research, Georgios Portokalidis Stevens Institute of Technology, Jun Xu The University of Utah DOI Media Attached | ||
16:53 7mTalk | On Using Information Retrieval to Recommend Machine Learning Good Practices for Software Engineers Demonstrations Laura Cabra-Acela Universidad de Los Andes, Anamaria Mojica-Hanke University of Passau, Universidad de Los Andes, Mario Linares-Vásquez Universidad de los Andes, Steffen Herbold University of Passau Media Attached | ||
17:00 15mTalk | MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation Journal First Federico Cassano Northeastern University, John Gouwar Northeastern University, Daniel Nguyen Hannover High School, Sydney Nguyen Wellesley College, Luna Phipps-Costin Northeastern University, Donald Pinckney Northeastern University, Ming-Ho Yee Northeastern University, Yangtian Zi Northeastern University, Carolyn Jane Anderson Wellesley College, Molly Q Feldman Oberlin College, Arjun Guha Northeastern University and Roblox, Michael Greenberg Stevens Institute of Technology, Abhinav Jangda Microsoft Research Link to publication Media Attached | ||
17:15 15mTalk | NCQ: Code reuse support for Node.js developers Journal First Brittany Reid The University of Adelaide, Marcelo d'Amorim North Carolina State University, Markus Wagner Monash University, Australia, Christoph Treude University of Melbourne Link to publication DOI Pre-print Media Attached | ||
17:30 15mTalk | Efficient Text-to-Code Retrieval with Cascaded Fast and Slow Transformer Models Research Papers Akhilesh Deepak Gotmare Salesforce Research, Junnan Li Salesforce Research, Shafiq Joty Salesforce Research, Steven C.H. Hoi Salesforce Research Asia Media Attached | ||
17:45 15mTalk | PEM: Representing Binary Program Semantics for Similarity Analysis via A Probabilistic Execution Model Research Papers Xiangzhe Xu Purdue University, Zhou Xuan , Shiwei Feng Purdue University, Siyuan Cheng Purdue University, Yapeng Ye Purdue University, Qingkai Shi The Hong Kong University of Science and Technology, Guanhong Tao Purdue University, Le Yu , Zhuo Zhang Purdue University, Xiangyu Zhang Purdue University Media Attached | ||