Demo Data from EDBT 2026 / reviewers in the wild / expert
Alexa Hernandez
dblp:265/6181
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-3066-2000ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021
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 · 77% Software maintenance and evolution · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing › test generation
unit test generation |
0.6 | 1 | 2022 | Generating Unit Tests for Documentation · IEEE Trans. Software Eng. 2022 |
Software maintenance and evolution
software documentation |
0.2 | 1 | 2022 | Generating Unit Tests for Documentation · IEEE Trans. Software Eng. 2022 |
Methods — techniques the papers use, named apart from their topics
template-based generation · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Generating Unit Tests for DocumentationabstractSoftware projects capture redundant information in various kinds of artifacts, as specifications from the source code are also tested and documented. Such redundancy provides an opportunity to reduce development effort by supporting the joint generation of different types of artifacts. We introduce a tool-supported technique, called DScribe, that allows developers to combine unit test and documentation templates, and to invoke these templates to generate documentation and unit tests. DScribe supports the detection and replacement of outdated documentation, and the use of templates can encourage extensive test suites with a consistent style. Our evaluation of 835 specifications revealed that 85 percent were not tested or correctly documented, and DScribe could be used to automatically generate 97 percent of the tests and documentation. An additional study revealed that tests generated by DScribe are more focused and readable than those written by human testers or generated by state-of-the-art automated techniques. Mathieu Nassif, Alexa Hernandez, Ashvitha Sridharan, Martin P. Robillard |
IEEE Trans. Software Eng. | 2 |