Web Application Programming Interfaces (APIs) allow services to be accessed over the network. RESTful (or REST) APIs, which use the REpresentation State Transfer (REST) protocol, are a popular type of web API. To use or test REST APIs, developers use specifications written in standards such as OpenAPI. However, creating and maintaining these specifications is time-consuming and error-prone, especially as software evolves, leading to incomplete or inconsistent specifications that negatively affect the use and testing of the APIs. To address this problem, we present Respector (REST API specification generator), the first technique to employ static and symbolic program analysis to generate specifications for REST APIs from their source code. We evaluated Respector on 15 real-world APIs with promising results in terms of precision and recall in inferring endpoint methods, endpoint parameters, method responses, and parameter attributes, including constraints leading to successful HTTP responses or errors. Furthermore, these results could be further improved with additional engineering. Comparing the Respector-generated specifications with the developer-provided ones shows that Respector was able to identify many missing end-point methods, parameters, constraints, and responses, along with some inconsistencies between developer-provided specifications and API implementations. Finally, Respector outperformed several techniques that infer specifications from annotations within API implementations or by invoking the APIs.

@inproceedings{paperbot11317,
  title = {Generating REST API Specifications through Static Analysis},
  author = {Ruikai Huang and Manish Motwani and Idel Martinez and Alessandro Orso},
  booktitle = {ICSE},
  year = {2024},
  doi = {10.1145/3597503.3639137}
}