Demo Data from VLDB 2026 / reviewers in the wild / expert
Benjamin S. Porter
dblp:48/1444
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 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 · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › software metrics
function points |
0.0 | 1 | 1992 | Improving the Reliability of Function Point Measurement: An Empirical Study · IEEE Trans. Software Eng. 1992 |
Empirical software engineering › software size measurement
function point analysis |
0.0 | 1 | 1992 | Improving the Reliability of Function Point Measurement: An Empirical Study · IEEE Trans. Software Eng. 1992 |
Empirical software engineering
software metrics |
0.0 | 1 | 1992 | Improving the Reliability of Function Point Measurement: An Empirical Study · IEEE Trans. Software Eng. 1992 |
Empirical software engineering › software estimation
software size estimation |
0.0 | 1 | 1992 | Improving the Reliability of Function Point Measurement: An Empirical Study · IEEE Trans. Software Eng. 1992 |
Methods — techniques the papers use, named apart from their topics
survey · 0.0case study · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1992 | Improving the Reliability of Function Point Measurement: An Empirical StudyabstractOne measure of the size and complexity of information systems that is growing in acceptance and adoption is function points, a user-oriented, nonsource line of code metric of the systems development product. Previous research has documented the degree of reliability of function points as a metric. This research extends that work by (a) identifying the major sources of variation through a survey of current practice, and (b) estimating the magnitude of the effect of these sources of variation using detailed case study data from commercial systems. The results of this research show that a relatively small number of factors has the greatest potential for affecting reliability, and recommendations are made for using these results to improve the reliability of function point counting in organizations.> Chris F. Kemerer, Benjamin S. Porter |
IEEE Trans. Software Eng. | 2 |