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Ken Magel

dblp:22/7755 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Empirical software engineering › software metrics
software complexity metrics
0.011982
The subjective nature of programming complexity · CHI 1982

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

complexity metrics · 0.0
YearPublicationVenuePosition
1982 The subjective nature of programming complexity
abstract
One 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
CHI2