English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

RESTful APIs are arguably the most popular endpoints for accessing Webservices. Blackbox testing is one of the emerging techniques for ensuring thereliability of RESTful APIs. The major challenge in testing RESTful APIs is theneed for correct sequences of API operation calls for in-depth testing. Tobuild meaningful operation call sequences, researchers have proposed techniquesto learn and utilize the API dependencies based on OpenAPI specifications.However, these techniques either lack the overall awareness of how all the APIsare connected or the flexibility of adaptively fixing the learned knowledge. Inthis paper, we propose Morest, a model-based RESTful API testing technique thatbuilds and maintains a dynamically updating RESTful-service Property Graph(RPG) to model the behaviors of RESTful-services and guide the call sequencegeneration. We empirically evaluated Morest and the results demonstrate thatMorest can successfully request an average of 152.66%-232.45% more APIoperations, cover 26.16%-103.24% more lines of code, and detect 40.64%-215.94%more bugs than state-of-the-art techniques. In total, we applied Morest to 6real-world projects and found 44 bugs (13 of them cannot be detected byexisting approaches). Specifically, 2 of the confirmed bugs are from Bitbucket,a famous code management service with more than 6 million users.

Morest: Model-based RESTful API Testing with Execution Feedback