Demo Data from VLDB 2026 / reviewers in the wild / expert
Nelson M. Andrews
dblp:93/6754
· 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 |
Software testing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
software reliability |
0.0 | 1 | 1990 | Data Stability in an Application of a Software Reliability Model · IEEE J. Sel. Areas Commun. 1990 |
Software testing › software reliability › software reliability modeling
software reliability growth model |
0.0 | 1 | 1990 | Data Stability in an Application of a Software Reliability Model · IEEE J. Sel. Areas Commun. 1990 |
Software testing
system testing |
0.0 | 1 | 1990 | Data Stability in an Application of a Software Reliability Model · IEEE J. Sel. Areas Commun. 1990 |
Methods — techniques the papers use, named apart from their topics
parameter fitting · 0.0goel-okumoto model · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | Data Stability in an Application of a Software Reliability ModelabstractThe Goel-Okumoto (1979) model of reliability growth is applied to the failure data for a large software development project. This is done by fitting the model parameters to the error counts and test times, which are periodically tabulated. In the early phases of system testing, the problem of inaccurate estimation due to insufficient reliability growth occurs. A simple test is devised to measure the stability of the data with respect to this problem. In practice, such a test on the data can be used to determine when system testing has sufficiently progressed to allow one to expect reasonable estimates from reliability growth models.> George L. Gentzler Jr., Nelson M. Andrews |
IEEE J. Sel. Areas Commun. | 2 |