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Chiung-Chen Yu

dblp:07/3491 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
program comprehension
0.021990
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
0.011988
Plan-based representations of pascal and fortran code · CHI 1988
Usability and user experience research
psychology of programming
0.011990
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
YearPublicationVenuePosition
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 code
abstract
The 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
CHI1