Demo Data from EDBT 2026 / reviewers in the wild / expert
Xiao-Mei Chou
dblp:23/5988
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1989
—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 · 87% Debugging and program repair · 13% |
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 | 1989 | Does Imperfect Debugging Affect Software Reliability Growth? · ICSE 1989 |
Software testing › software reliability › software reliability modeling
software reliability growth model |
0.0 | 1 | 1989 | Does Imperfect Debugging Affect Software Reliability Growth? · ICSE 1989 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Does Imperfect Debugging Affect Software Reliability Growth?abstractThis paper discusses the improvement of conventional software reliability growth models by elimination of the unreasonable assumption that errors or faults in a program can be perfectly removed when they are detected.The results show that exponential-type software reliability growth models that deal with errorcounting data could be used even if the perfect debugging assumption were not held, in which case the interpretation of the model parameters should be changed.An analysis of real project data is presented. I. INTRODUCTlON Mitsuru Ohba, Xiao-Mei Chou |
ICSE | 2 |