Demo Data from EDBT 2026 / reviewers in the wild / expert
William B. Pressly
dblp:60/7880
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 |
Debugging and program repair · 87% Program analysis · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair
fault localization |
0.1 | 1 | 2009 | A Linear Programming Approach for Automated Localization of Multiple Faults · ASE 2009 |
Debugging and program repair › fault localization
multiple fault localization |
0.1 | 1 | 2009 | A Linear Programming Approach for Automated Localization of Multiple Faults · ASE 2009 |
Program analysis › dynamic analysis › trace analysis
execution trace analysis |
0.0 | 1 | 2009 | A Linear Programming Approach for Automated Localization of Multiple Faults · ASE 2009 |
Methods — techniques the papers use, named apart from their topics
linear programming · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | A Linear Programming Approach for Automated Localization of Multiple FaultsabstractIn this paper, we address the problem of localizing faults by analyzing execution traces of successful and unsuccessful invocations of the application when run against a suite of tests. We present a new algorithm, based on a linear programming model, which is designed to be particularly effective for the case where multiple faults are present in the application under investigation. Through an extensive empirical study, we show that in the case of both single and multiple faults, our approach outperforms a host of prominent fault localization methods from the literature. Brian C. Dean, William B. Pressly, Brian A. Malloy, Adam Whitley 0001 |
ASE | 2 |