Blogs (1) >>
ASE 2019
Sun 10 - Fri 15 November 2019 San Diego, California, United States

Developer forums are one of the most popular and useful Q&A websites on API usages. The analysis of API forums can be a critical resource for the automated question and answer approaches. In this paper, we empirically study three API forums including Twitter, eBay, and AdWords, to investigate the characteristics of question-answering process. We observe that +60% of the posts on all three forums were answered by providing API method names or documentation. +85% of the questions were answered by API development teams and the answers from API development teams drew fewer follow-up questions. Our results provide empirical evidences for us in a future work to build automated solutions to answer developer questions on API forums.

Wed 13 Nov
Times are displayed in time zone: Tijuana, Baja California change

15:20 - 16:00
Poster Session: Late Breaking ResultsLate Breaking Results at Kensington Ballroom
15:20
40m
Poster
Recommendation of Exception Handling Code in Mobile App Development
Late Breaking Results
Pre-print
15:20
40m
Poster
LVMapper: A Large-variance Clone Detector Using Sequencing Alignment Approach
Late Breaking Results
Ming Wu, Pengcheng WangUniversity of Science and Technology of China, Kangqi Yin, Haoyu Cheng, Yun XuUniversity of Science and Technology of China, Chanchal K. RoyUniversity of Saskatchewan
Pre-print
15:20
40m
Poster
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers
Late Breaking Results
Pre-print
15:20
40m
Poster
An Empirical Study on the Characteristics of Question-Answering Process on Developer Forums
Late Breaking Results
Yi LiNanyang Technological University, Shaohua WangNew Jersey Institute of Technology, USA, Tien N. NguyenUniversity of Texas at Dallas, Son NguyenThe University of Texas at Dallas, Xinyue Ye, Yan Wang
Pre-print
15:20
40m
Poster
Testing Neural Programs
Late Breaking Results
Md Rafiqul Islam RabinUniversity of Houston, Ke WangVisa Research, Mohammad Amin Alipour
Pre-print
15:20
40m
Poster
Self Learning from Large Scale Code Corpus to Infer Structure of Method Invocations
Late Breaking Results
Pre-print
15:20
40m
Poster
Data Sanity Check for Deep Learning Systems via Learnt Assertions
Late Breaking Results
Haochuan LuFudan University, Huanlin Xu, Nana Liu, Yangfan ZhouFudan University, Xin Wang
Pre-print
15:20
40m
Poster
Software Engineering for Fairness: A Case Study with Hyperparameter Optimization
Late Breaking Results
Joymallya ChakrabortyNorth Carolina State University, Tianpei Xia, Fahmid M. Fahid, Tim MenziesNorth Carolina State University
Pre-print
15:20
40m
Poster
API Misuse Correction: A Statistical Approach
Late Breaking Results
Pre-print
15:20
40m
Poster
Should We Add Repair Time to an Unfixed Bug? An Exploratory Study of Automated Program Repair on 2980 Small-Scale Programs
Late Breaking Results
Pre-print
15:20
40m
Poster
Learning test traces
Late Breaking Results
Pre-print
15:20
40m
Poster
The Dynamics of Software Composition Analysis
Late Breaking Results
Pre-print
15:20
40m
Poster
A Process Mining based Approach to Improving Defect Detection of SysML Models.
Late Breaking Results
Mounifah Alenazi, Nan NiuUniversity of Cincinnati, Juha SavolainenDanfoss
Pre-print
15:20
40m
Poster
Open-Source Projects and their Collaborative Development Workflows
Late Breaking Results
panuchart bunyakiatikasetsart university, Usa Sammapunkasetsart university
Pre-print
15:20
40m
Poster
Detecting Deep Neural Network Defects with Data Flow Analysis
Late Breaking Results
Jiazhen Gu, Huanlin Xu, Yangfan ZhouFudan University, Xin Wang, Hui Xu, Michael LyuThe Chinese University of Hong Kong
Pre-print
15:20
40m
Poster
On building an automated responding system for app reviews: What are the characteristics of reviews and their responses?
Late Breaking Results
Pre-print