Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Charles A. Behrens

dblp:52/4080 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1983
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 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
1 paper
Empirical software engineering · 87% Software maintenance and evolution · 13%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering › software metrics
function points
0.011983
Measuring the Productivity of Computer Systems Development Activities with Function Points · IEEE Trans. Software Eng. 1983
Empirical software engineering › software metrics
productivity measurement
0.011983
Measuring the Productivity of Computer Systems Development Activities with Function Points · IEEE Trans. Software Eng. 1983

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

productivity index · 0.0function point analysis · 0.0
YearPublicationVenuePosition
1983 Measuring the Productivity of Computer Systems Development Activities with Function Points
abstract
The function point method of measuring application development productivity developed by Albrecht is reviewed and a productivity improvement measure introduced. The measurement methodology is then applied to 24 development projects. Size, environment, and language effects on productivity are examined. The concept of a productivity index which removes size effects is defined and an analysis of the statistical significance of results is presented.
Charles A. Behrens
IEEE Trans. Software Eng.1