Abstract
A computer-implemented method for detecting silent backward-incompatible application programming interface (API) contract drift includes receiving API interaction data from one or more sources in a production environment, where the API interaction data includes request and response payloads for one or more API endpoints. The method includes normalizing the request and response payloads into structured representations and generating runtime structural-semantic fingerprints from the normalized payloads, where each fingerprint encodes field presence, field absence, hierarchical path structure, type signatures, nullability indicators, enumeration membership, and cross-field relationships. The method includes learning endpoint-specific behavioral invariants from historical API traffic, where the behavioral invariants capture implicit semantic contracts including field presence expectations, type stability, nullability expectations, and cross-field dependency rules. The method includes comparing observed runtime fingerprints against the learned behavioral invariants, detecting backward-incompatible drift conditions, and outputting drift alerts characterizing the detected drift conditions.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Agrawal, Harsh and Shinde, Isha Navanath, "SYSTEMS AND METHODS FOR DETECTING SILENT BACKWARD-INCOMPATIBLE API CONTRACT DRIFT USING RUNTIME STRUCTURAL-SEMANTIC FINGERPRINTS", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10178