Augmenting Stack Overflow with API Usage Patterns Mined from GitHub (ESEC/FSE 2018 - Demonstrations)

Sun 4 - Fri 9 November 2018 Lake Buena Vista, Florida, United States

Who

Anastasia Reinhardt, Tianyi Zhang, Mihir Mathur, Miryung Kim

Track

ESEC/FSE 2018 Demonstrations

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When

Tue 6 Nov 2018 15:30 - 15:52 at Solar - Bugs Chair(s): Hoan Nguyen

Abstract

Programmers often consult Q&A websites such as Stack Overflow (SO) to learn new APIs. However, online code snippets are not always complete or reliable in terms of API usage. To assess online code snippets, we build a Chrome extension, ExampleCheck that detects API usage violations in SO posts using API usage patterns mined from 380K GitHub projects. It quantifies how many GitHub examples follow common API usage and illustrates how to remedy the detected violation in a given SO snippet. With ExampleCheck, programmers can easily identify the pitfalls of a given SO snippet and learn how much it deviates from common API usage patterns in GitHub. The demo video is at https://youtu.be/WOnN-wQZsH0.

Link to Preprint

http://web.cs.ucla.edu/~tianyi.zhang/examplecheck-demo-final.pdf

Anastasia Reinhardt

Tianyi Zhang

University of California, Los Angeles

United States

Mihir Mathur

University of California, Los Angeles

Miryung Kim

University of California, Los Angeles

United States

Time Zone

The program is currently displayed in (GMT-05:00) Guadalajara, Mexico City, Monterrey.

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Session Program

Tue 6 Nov
Displayed time zone: Guadalajara, Mexico City, Monterrey change

15:30 - 17:00	BugsDemonstrations at Solar Chair(s): Hoan Nguyen Iowa State University

15:30 22m Talk		Augmenting Stack Overflow with API Usage Patterns Mined from GitHub Demonstrations Anastasia Reinhardt , Tianyi Zhang University of California, Los Angeles, Mihir Mathur University of California, Los Angeles, Miryung Kim University of California, Los Angeles Pre-print
15:52 22m Talk		PowerStation: Automatically detecting and fixing inefficienciesof database-backed web applications in IDE Demonstrations Junwen Yang , Cong Yan , Pranav Subramaniam , Shan Lu University of Chicago, Alvin Cheung University of Washington
16:15 22m Talk		SketchFix: A Tool for Automated Program Repair Approach Using Lazy Candidate Generation Demonstrations Jinru Hua , Mengshi Zhang University of Texas at Austin, USA, Kaiyuan Wang , Sarfraz Khurshid University of Texas at Austin
16:37 22m Talk		WarningsGuru: Integrating statistical bug models with static analysis to provide timely and specific bug warnings Demonstrations Louis-Philippe Querel Concordia University, Peter Rigby Concordia University, Montreal, Canada