Demo Data from EDBT 2026 / reviewers in the wild / expert
Chiung-Chen Yu
dblp:07/3491
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 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.
| Software engineering, system software, and programming languages
2 papers |
Software maintenance and evolution · 70% Empirical software engineering · 30% | |
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software maintenance and evolution
program comprehension |
0.0 | 2 | 1990 | Common Cognitive Representations of Program Code Across Tasks and Languages · Int. J. Man Mach. Stud. 1990 Plan-based representations of pascal and fortran code · CHI 1988 |
Empirical software engineering › human factors in software engineering
developer cognition |
0.0 | 1 | 1988 | Plan-based representations of pascal and fortran code · CHI 1988 |
Usability and user experience research
psychology of programming |
0.0 | 1 | 1990 | Common Cognitive Representations of Program Code Across Tasks and Languages · Int. J. Man Mach. Stud. 1990 |
Methods — techniques the papers use, named apart from their topics
code segmentation · 0.0card sorting · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Common Cognitive Representations of Program Code Across Tasks and Languages
Scott P. Robertson, Chiung-Chen Yu |
Int. J. Man Mach. Stud. | 2 |
| 1988 | Plan-based representations of pascal and fortran codeabstractThe first step in program modification is comprehension. Several researchers argue that programmers utilize plan-based representations when composing or comprehending code. In this study we tested the psychological validity of this proposal and examined the nature of plan-based program representations. Experienced programmers were asked to segment code and sort programs. The segmenting data showed that programmers agree on the major components of a program and that these components are defined by goals in a plan representation. Pascal and FORTRAN programs that employ the same plan structure were segmented into similar components. Program sorting data also showed clustering into plan groups. However task related dimensions are also important parts of program representations. Chiung-Chen Yu, Scott P. Robertson |
CHI | 1 |