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

Raimo Rask

dblp:59/3570 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 1993
—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 · 90% Requirements engineering and software design · 10%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering › software metrics
function points
0.011993
Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment · IEEE Trans. Software Eng. 1993
Empirical software engineering
software metrics
0.011993
Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment · IEEE Trans. Software Eng. 1993
Requirements engineering and software design › software design notation
data flow diagram
0.011993
Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment · IEEE Trans. Software Eng. 1993
Empirical software engineering
software effort estimation
0.011993
Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment · IEEE Trans. Software Eng. 1993
Empirical software engineering › software estimation
software size estimation
0.011993
Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment · IEEE Trans. Software Eng. 1993

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

simulation · 0.0regression analysis · 0.0correlation analysis · 0.0
YearPublicationVenuePosition
1993 Simulation and Comparison of Albrecht's Function Point and DeMarco's Function Bang Metrics in a CASE Environment
abstract
Software size estimates provide a basis for software cost estimation during software development. Hence, it is important to measure the system size reliably as early as possible. Two of the best known specification level metrics, Albrecht's function points (A.J. Albrecht, 1979) and DeMarco's function bang metrics (T. DeMarco, 1982) are compared by a simulation study in which automatically generated randomized dataflow diagrams (DFDs) were used as a statistical sample to automatically count function points and function bang in a built CASE environment. These value counts were correlated statistically using correlation coefficients and regression analysis. The simulation study permits sufficient variation in the base material to cover most types of system specifications. Moreover, it allows sufficient sampling sizes to make statistical analysis of data. The obtained results show that in certain cases there is a relatively good statistical correlation between these metrics.>
Raimo Rask, Petteri Laamanen, Kalle Lyytinen
IEEE Trans. Software Eng.1