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ICSE 2020
Wed 24 June - Thu 16 July 2020
Wed 8 Jul 2020 01:35 - 01:47 at Baekje - P10-Stack Overflow Chair(s): Emerson Murphy-Hill

Intelligent services are becoming increasingly more pervasive; application developers want to leverage the latest advances in areas such as computer vision to provide new services and products to users, and large technology firms enable this via RESTful APIs. While such APIs promise an easy-to-integrate on-demand machine intelligence, their current design, documentation and developer interface hides much of the underlying machine learning techniques that power them. Such APIs look and feel like conventional APIs but abstract away data-driven probabilistic behaviour—the implications of a developer treating these APIs in the same way as other, traditional cloud services, such as cloud storage, is of concern. The objective of this study is to determine the various pain-points developers face when implementing systems that rely on the most mature of these intelligent services, specifically those that provide computer vision. We use Stack Overflow to mine indications of the frustrations that developers appear to face when using computer vision services, classifying their questions against two recent classification taxonomies (documentation-related and general questions). We find that, unlike mature fields like mobile development, there is a contrast in the types of questions asked by developers. These indicate a shallow understanding of the underlying technology that empower such systems. We discuss several implications of these findings via the lens of learning taxonomies to suggest how the software engineering community can improve these services and comment on the nature by which developers use them.

Wed 8 Jul

Displayed time zone: (UTC) Coordinated Universal Time change

01:05 - 02:05
What Do Programmers Discuss about Blockchain? A Case Study on the Use of Balanced LDA and the Reference Architecture of a Domain to Capture Online Discussions about Blockchain Platforms across Stack Exchange CommunitiesJ1
Journal First
Zhiyuan Wan Zhejiang University, Xin Xia Monash University, Ahmed E. Hassan Queen's University
Bounties on Technical Q&A Sites: A Case Study of Stack Overflow BountiesJ1
Journal First
Jiayuan Zhou Queen's University, Shaowei Wang Mississippi State University, Cor-Paul Bezemer University of Alberta, Canada, Ahmed E. Hassan Queen's University
MSRBot: Using Bots to Answer Questions from Software RepositoriesJ1
Journal First
Ahmad Abdellatif Concordia University, Khaled Badran Concordia University, Emad Shihab Concordia University
Why Will My Question Be Closed? NLP-Based Pre-Submission Predictions of Question Closing Reasons on Stack OverflowNIER
New Ideas and Emerging Results
Laszlo Toth University of Szeged, Hungary, Balázs Nagy University of Szeged, Hungary, László Vidács University of Szeged, Hungary, Tibor Gyimóthy University of Szeged, Hungary
Interpreting Cloud Computer Vision Pain-Points: A Mining Study of Stack OverflowTechnical
Technical Papers
Alex Cummaudo Applied Artificial Intelligence Institute, Deakin University, Rajesh Vasa Deakin University, Scott Barnett Deakin University, John Grundy Monash University, Mohamed Abdelrazek Deakin University