Demo Data from EDBT 2026 / reviewers in the wild / expert
Andy Neumann
dblp:299/2158
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-8024-0041ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 first-author · 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 |
Services computing and microservices · 77% Software maintenance and evolution · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Services computing and microservices › web service interfaces
RESTful APIs |
0.5 | 1 | 2021 | An Analysis of Public REST Web Service APIs · IEEE Trans. Serv. Comput. 2021 |
Methods — techniques the papers use, named apart from their topics
empirical study · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | An Analysis of Public REST Web Service APIsabstractBusinesses are increasingly deploying their services on the web, in the form of web applications, SOAP services, message-based services, and, more recently, REST services. Although the movement towards REST is widely recognized, there is not much concrete information regarding the technical features being used in the field, such as typical data formats, how HTTP verbs are being used, or typical URI structures, just to name a few. In this paper, we go through the Alexa.com top 4000 most popular sites to identify precisely 500 websites claiming to provide a REST web service API. We analyze these 500 APIs for key technical features, degree of compliance with REST architectural principles (e.g., resource addressability), and for adherence to best practices (e.g., API versioning). We observed several trends (e.g., widespread JSON support, software-generated documentation), but, at the same time, high diversity in services, including differences in adherence to best practices, with only 0.8 percent of services strictly complying with all REST principles. Our results can help practitioners evolve guidelines and standards for designing higher quality services and also understand deficiencies in currently deployed services. Researchers may also benefit from the identification of key research areas, contributing to the deployment of more reliable services. Andy Neumann, Nuno Laranjeiro, Jorge Bernardino |
IEEE Trans. Serv. Comput. | 1 |