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Sen-Po Hu

dblp:217/9351 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
User interface design and tools
developer tools
0.112018
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
YearPublicationVenuePosition
2018 Doppio: Tracking UI Flows and Code Changes for App Development
abstract
Developing 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
CHI2