Demo Data from SIGIR 2026 / reviewers in the wild / expert
Gerald Anthony Robinson
dblp:86/4690
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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 · 87% Requirements engineering and software design · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering › software metrics
product and process metrics |
0.0 | 1 | 1990 | A Framework for Software Quality Measurement · IEEE J. Sel. Areas Commun. 1990 |
Empirical software engineering › software metrics
software quality metrics |
0.0 | 1 | 1990 | A Framework for Software Quality Measurement · IEEE J. Sel. Areas Commun. 1990 |
Methods — techniques the papers use, named apart from their topics
experimental work · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | A Framework for Software Quality MeasurementabstractThe authors propose a quality model as a framework which should facilitate the evolution of theoretically based systems of measurement for the processes and products of the software development lifecycle. They start by defining measurement and quality measurement, and they present a model for software quality measurement. This model is used to explore several fundamental concepts and as a framework for the development of a set of software quality metrics. The authors discuss how the model can be developed through experimental work and by developing current and potential applications of the model in its immature state. These include process optimization, quality specification, end product quality control, intermediate product quality control, and the prediction of software quality. The authors conclude with a discussion of current issues and future trends in this area. Topics covered include education, the evolution of standards for data definition, and tool support.> Sinclair Guillaume Stockman, Alan Richard Todd, Gerald Anthony Robinson |
IEEE J. Sel. Areas Commun. | 3 |