VLDB 2026 Research / reviewers in the wild / expert
T. Xia
dblp:30/2155
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1999
—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 · 44% Operating systems · 44% Debugging and program repair · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Operating systems
fault tolerance |
0.0 | 1 | 1999 | Combining Fault Avoidance, Fault Removal and Fault Tolerance: An Integrated Model · ASE 1999 |
Software testing
software reliability |
0.0 | 1 | 1999 | Combining Fault Avoidance, Fault Removal and Fault Tolerance: An Integrated Model · ASE 1999 |
Debugging and program repair
fault removal |
0.0 | 1 | 1999 | Combining Fault Avoidance, Fault Removal and Fault Tolerance: An Integrated Model · ASE 1999 |
Methods — techniques the papers use, named apart from their topics
reliability modeling · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Combining Fault Avoidance, Fault Removal and Fault Tolerance: An Integrated ModelabstractFault avoidance, fault removal and fault tolerance represent three successive lines of defense against the contingency of faults in software systems and their impact on system reliability. Beyond the colorful discussions of the relative merits of these techniques, the law of diminishing returns advocates that they be used in concert, where each is applied whenever it is most effective. Such a premise remains an idle act of faith so long as these techniques cannot be captured by a uniform model. This paper proposes such a model and illustrates how it can be used in practice to improve the quality of software products. Ali Mili 0001, Bojan Cukic, T. Xia, Rahma Ben Ayed |
ASE | 3 |