Demo Data from SIGIR 2026 / reviewers in the wild / expert
Nancy E. Rallis
dblp:85/1902
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2001
—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 |
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
fault detection |
0.0 | 1 | 2001 | Reliability Estimation for a Software System with Sequential Independent Reviews · IEEE Trans. Software Eng. 2001 |
Software testing › software reliability
reliability estimation |
0.0 | 1 | 2001 | Reliability Estimation for a Software System with Sequential Independent Reviews · IEEE Trans. Software Eng. 2001 |
Software testing
software reliability |
0.0 | 1 | 2001 | Reliability Estimation for a Software System with Sequential Independent Reviews · IEEE Trans. Software Eng. 2001 |
Methods — techniques the papers use, named apart from their topics
sequential test and correction cycles · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Reliability Estimation for a Software System with Sequential Independent ReviewsabstractSuppose that several sequential test and correction cycles have been completed for the purpose of improving the reliability of a given software system. One way to quantify the success of these efforts is to estimate the probability that all faults are found by the end of the last cycle, We describe how to evaluate this probability both prior to and after observing the numbers of faults detected in each cycle and we show when these two evaluations would be the same. Nancy E. Rallis, Zachary F. Lansdowne |
IEEE Trans. Software Eng. | 1 |