EDBT 2026 Demo / reviewers in the wild / expert
Stephen D. Lee
dblp:08/1196
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1994
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2
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 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
fault-based testing |
0.0 | 1 | 1994 | An Empirical Evaluation of Weak Mutation · IEEE Trans. Software Eng. 1994 |
Software testing
mutation testing |
0.0 | 1 | 1994 | An Empirical Evaluation of Weak Mutation · IEEE Trans. Software Eng. 1994 |
Software testing
unit testing |
0.0 | 1 | 1994 | An Empirical Evaluation of Weak Mutation · IEEE Trans. Software Eng. 1994 |
Software testing › mutation testing
weak mutation testing |
0.0 | 1 | 1994 | An Empirical Evaluation of Weak Mutation · IEEE Trans. Software Eng. 1994 |
Methods — techniques the papers use, named apart from their topics
empirical evaluation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | An Empirical Evaluation of Weak MutationabstractMutation testing is a fault-based technique for unit-level software testing. Weak mutation was proposed as a way to reduce the expense of mutation testing. Unfortunately, weak mutation is also expected to provide a weaker test of the software than mutation testing does. This paper presents results from an implementation of weak mutation, which we used to evaluate the effectiveness versus the efficiency of weak mutation. Additionally, we examined several options in an attempt to find the most appropriate way to implement weak mutation. Our results indicate that weak mutation can be applied in a manner that is almost as effective as mutation testing, and with significant computational savings.> A. Jefferson Offutt, Stephen D. Lee |
IEEE Trans. Software Eng. | 2 |
| 1994 | Correction to "An Empirical Evaluation of Weak Mutation"
A. Jefferson Offutt, Stephen D. Lee |
IEEE Trans. Software Eng. | 2 |