Demo Data from SIGIR 2026 / reviewers in the wild / expert
Duncan J. Murdoch
dblp:94/4686
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2008
—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 |
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 › mutation testing
mutation operators |
0.1 | 1 | 2008 | Sufficient mutation operators for measuring test effectiveness · ICSE 2008 |
Software testing › mutation testing
mutation score |
0.1 | 1 | 2008 | Sufficient mutation operators for measuring test effectiveness · ICSE 2008 |
Software testing
mutation testing |
0.1 | 1 | 2008 | Sufficient mutation operators for measuring test effectiveness · ICSE 2008 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Sufficient mutation operators for measuring test effectivenessabstractMutants are automatically-generated, possibly faulty variants of programs. The mutation adequacy ratio of a test suite is the ratio of non-equivalent mutants it is able to identify to the total number of non-equivalent mutants. This ratio can be used as a measure of test effectiveness. However, it can be expensive to calculate, due to the large number of different mutation operators that have been proposed for generating the mutants. Akbar Siami Namin, James H. Andrews, Duncan J. Murdoch |
ICSE | 3 |