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Charles Welty

dblp:57/548 · also Charles J. Welty · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1988
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 2 · 2 first-authorHuman-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.

Databases, data mining, and information retrieval
2 papers
Data models and query languages · 100%
Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 100%
Human-computer interaction and pervasive computing
2 papers
Usability and user experience research · 66% Interaction techniques and input · 34%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Computing education · 100%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data models and query languages
SQL
0.011985
Correcting User Errors in SQL · Int. J. Man Mach. Stud. 1985
Data models and query languages
query language
0.011981
Human Factors Comparison of a Procedural and a Nonprocedural Query Language · ACM Trans. Database Syst. 1981
Interaction techniques and input › text entry
error correction
0.011985
Correcting User Errors in SQL · Int. J. Man Mach. Stud. 1985
Computing education › programming education
programming language learning
0.011981
Human Factors Comparison of a Procedural and a Nonprocedural Query Language · ACM Trans. Database Syst. 1981

Methods — techniques the papers use, named apart from their topics

empirical study · 0.0human factors comparison · 0.0error analysis · 0.0controlled experiment · 0.0
YearPublicationVenuePosition
1988 Experimentation in Computer Science: An Empirical View
Jeffrey Mitchell, Charles Welty
Int. J. Man Mach. Stud.2
1985 Correcting User Errors in SQL
Charles Welty
Int. J. Man Mach. Stud.1
1982 Reply
Charles Welty, David W. Stemple
ACM Trans. Database Syst.1
1981 Human Factors Comparison of a Procedural and a Nonprocedural Query Language
abstract
Two experiments testing the ability of subjects to write queries in two different query languages were run. The two languages, SQL and TABLET, differ primarily in their procedurality; both languages use the relational data model, and their Halstead levels are similar. Constructs in the languages which do not affect their procedurality are identical. The two languages were learned by the experimental subjects almost exclusively from manuals presenting the same examples and problems ordered identically for both languages. The results of the experiments show that subjects using the more procedural language wrote difficult queries better than subjects using the less procedural language. The results of the experiments are also used to compare corresponding constructs in the two languages and to recommend improvements for these constructs.
Charles Welty, David W. Stemple
ACM Trans. Database Syst.1