Demo Data from SIGIR 2026 / reviewers in the wild / expert
Sen-Po Hu
dblp:217/9351
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools
developer tools |
0.1 | 1 | 2018 | Doppio: Tracking UI Flows and Code Changes for App Development · CHI 2018 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.7program analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Doppio: Tracking UI Flows and Code Changes for App DevelopmentabstractDeveloping interactive systems often involves a large set of callback functions for handling user interaction, which makes it challenging to manage UI behaviors, create descriptive documentation, and track code revisions. We developed Doppio, a tool that automatically tracks and visualizes UI flows and their changes based on source code. For each input event listener of a widget, e.g., onClick of an Android View class, Doppio captures and associates its UI output from a program execution with its code snippet from the codebase. It automatically generates a screenflow diagram organized by the callback methods and interaction flow, where developers can review the code and UI revisions interactively. Doppio, as an IDE plugin, is seamlessly integrated into a common development workflow. Our studies show that our tool is able to generate quality visual documentation and helped participants understand unfamiliar source code and track changes. Pei-Yu Chi, Sen-Po Hu, Yang Li 0058 |
CHI | 2 |