Demo Data from EDBT 2026 / reviewers in the wild / expert
George J. Schick
dblp:54/5796
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1980
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 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 |
Software testing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Performance modeling and evaluation · 100% |
Topics — the 2 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 | 1978 | An Analysis of Competing Software Reliability Models · IEEE Trans. Software Eng. 1978 |
Software testing › software reliability
software reliability modeling |
0.0 | 1 | 1978 | An Analysis of Competing Software Reliability Models · IEEE Trans. Software Eng. 1978 |
Methods — techniques the papers use, named apart from their topics
probability distribution modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1980 | Use of a subjective prior distribution for the reliability of computer software
George J. Schick, Chi-Yuan Lin |
J. Syst. Softw. | 1 |
| 1978 | An Analysis of Competing Software Reliability ModelsabstractThis paper examines the most widely used reliability models. The models discussed fall into two categories, the data domain and the time domain. Besides tracing the historical development of the various models their advantages and disadvantages are analyzed. This includes models based on discrete as weil as continuous probability distributions. How well a given model performs its purpose in a specific economic environment will determine the usefulness of the model. Each of the models is examined with actual data as to the applicability of the error fmding process. George J. Schick, Ray W. Wolverton |
IEEE Trans. Software Eng. | 1 |