Demo Data from EDBT 2026 / reviewers in the wild / expert
Ken Magel
dblp:22/7755
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1982
—ORCID · none
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 |
Empirical software engineering · 77% Software maintenance and evolution · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › software metrics
software complexity metrics |
0.0 | 1 | 1982 | The subjective nature of programming complexity · CHI 1982 |
Methods — techniques the papers use, named apart from their topics
complexity metrics · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1982 | The subjective nature of programming complexityabstractOne of the more difficult problems confronting software engineers today is the construction of accurate predictive models of the software development process, [2],[8] and [9]. It has long been recognized that one of the most essential elements of any successful model of this process is a quantification of the complexity of software systems. During the past several years a great deal of work has been performed by researchers such as Halstead [3], McCab [5], and others in an attempt to develop metrics which adequately capture the complexity of software systems. Yet one very important aspect of software development complexity seems to have been overlooked in the rush to develop software complexity metrics, q.e. it's psychological nature. Daniel G. McNicholl, Ken Magel |
CHI | 2 |