Demo Data from EDBT 2026 / reviewers in the wild / expert
Kazuki Nishiura
dblp:117/2832
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 3 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › web application testing
ajax application testing |
0.2 | 1 | 2014 | Validating ajax applications using a delay-based mutation technique · ASE 2014 |
Software testing
mutation testing |
0.2 | 1 | 2014 | Validating ajax applications using a delay-based mutation technique · ASE 2014 |
Software testing
web application testing |
0.2 | 1 | 2014 | Validating ajax applications using a delay-based mutation technique · ASE 2014 |
Methods — techniques the papers use, named apart from their topics
mutation testing · 0.2fault injection · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Validating ajax applications using a delay-based mutation techniqueabstractThe challenge of validating Asynchronous JavaScript and XML (Ajax) applications lies in actual errors exposed in a user environment. Several studies have proposed effective and efficient testing techniques to identify executable faults. However, the applications might have faults that are not executed during testing, but might cause actual errors in a user environment. Although we have investigated static methods for finding ``potential faults'' that seem to cause actual errors if executed, developers need to confirm whether or not the potential faults are actually executable. Herein, we propose a mutation-based testing method implemented in a tool called JSPreventer. Even if the potential faults are not easily executable in a given environment, our method mutates the applications until they are executable using two delay-based mutation operators to manipulate the timing of the applications handling interactions. Thus, JSPreventer provides executable evidences of the not-easily-executable faults for developers, if it reveals actual errors by testing the mutated applications. We applied our method to real-world applications and found actual errors that developers could debug to improve their reliability. Therefore, JSPreventer can help developers validate reliable real-world Ajax applications. Yuta Maezawa, Kazuki Nishiura, Hironori Washizaki, Shinichi Honiden |
ASE | 2 |
| 2013 | Mutation Analysis for JavaScriptWeb Application Testing
Kazuki Nishiura, Yuta Maezawa, Hironori Washizaki, Shinichi Honiden |
SEKE | 1 |
| 2012 | Supporting View Transition Design of Smartphone Applications Using Web Templates
Kazuki Nishiura, Yuta Maezawa, Fuyuki Ishikawa, Shinichi Honiden |
ICWE | 1 |