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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Optimizing and maintaining up-to-date API documentation is a challengingproblem for evolving OpenAPIs. In this poster, we propose a data-drivencontinuous optimization solution and multilingual SDK generation scheme toimprove the comprehensibility of API documentation. We compute the correlationbetween API integrity and API trial success rate. Based on this, we partitionthe API to ensure that each API has a correct optimization direction. Then, wepropose a fine-grained(i.e., parameter level) continuous optimization solutionto annotate problems in API documents in real-time. Based on the aboveresolutions, we can provide theoretical analysis and support for theoptimization and management of API documents. Finally, we explore the crucialchallenges of OpenAPIs and introduce a tailored solution, TeaDSL, amulti-language SDK solution for all OpenAPI gateways. TeaDSL is adomain-specific language that expresses OpenAPI gateways, generating SDKs, codesamples, and test cases. The experiments evaluated on the online system showthat this work's approach significantly improves the user experience oflearning OpenAPIs.

Improving API Documentation Comprehensibility via Continuous Optimization and Multilingual SDK