Demo Data from EDBT 2026 / reviewers in the wild / expert
Hiroaki Mikami
dblp:199/2982
· DBLP profile ↗
2ranked-venue papers
2as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author
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.
| Human-computer interaction and pervasive computing
1 paper |
User interface design and tools · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Software maintenance and evolution · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
User interface design and tools
programming environments |
0.3 | 1 | 2017 | Micro-Versioning Tool to Support Experimentation in Exploratory Programming · CHI 2017 |
User interface design and tools › developer tools
version control |
0.3 | 1 | 2017 | Micro-Versioning Tool to Support Experimentation in Exploratory Programming · CHI 2017 |
Methods — techniques the papers use, named apart from their topics
user study · 0.6undo model · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami, Kenji Fukumizu, Shogo Murai, Shuji Suzuki, Yuta Kikuchi, Taiji Suzuki, Shin-ichi Maeda, Kohei Hayashi |
ECML/PKDD (3) | 1 |
| 2017 | Micro-Versioning Tool to Support Experimentation in Exploratory ProgrammingabstractExperimentation plays an essential role in exploratory programming, and programmers apply version control operations when switching the part of the source code back to the past state during experimentation. However, these operations, which we refer to as micro-versioning, are not well supported in current programming environments. We first examined previous studies to clarify the requirements for a micro-versioning tool. We then developed a micro-versioning tool that displays visual cues representing possible micro-versioning operations in a textual code editor. Our tool includes a history model that generates meaningful candidates by combining a regional undo model and tree-structured undo model. The history model uses code executions as a delimiter to segment text edit operations into meaning groups. A user study involving programmers indicated that our tool satisfies the above-mentioned requirements and that it is useful for exploratory programming. Hiroaki Mikami, Daisuke Sakamoto, Takeo Igarashi |
CHI | 1 |