Demo Data from VLDB 2026 / reviewers in the wild / expert
Patrick Emmisberger
dblp:150/7400
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2017
—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% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › mutation testing
fault injection |
0.3 | 1 | 2017 | A general framework for dynamic stub injection · ICSE 2017 |
Methods — techniques the papers use, named apart from their topics
domain-specific language · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | A general framework for dynamic stub injectionabstractStub testing is a standard technique to simulate the behavior of dependencies of an application under test such as the file system. Even though existing frameworks automate the actual stub injection, testers typically have to implement manually where and when to inject stubs, in addition to the stub behavior. This paper presents a novel framework that reduces this effort. The framework provides a domain specific language to describe stub injection strategies and stub behaviors via declarative rules, as well as a tool that automatically injects stubs dynamically into binary code according to these rules. Both the domain specific language and the injection are language independent, which enables the reuse of stubs and injection strategies across applications. We implemented this framework for both unmanaged (assembly) and managed (.NET) code and used it to perform fault injection for twelve large applications, which revealed numerous crashes and bugs in error handling code. We also show how to prioritize the analysis of test failures based on a comparison of the effectiveness of stub injection rules across applications. Maria Christakis, Patrick Emmisberger, Patrice Godefroid, Peter Müller 0001 |
ICSE | 2 |
| 2014 | Dynamic Test Generation with Static Fields and Initializers
Maria Christakis, Patrick Emmisberger, Peter Müller 0001 |
RV | 2 |