Test Oracle Generation for REST APIs

The number and complexity of test case generation tools for REST APIs have significantly increased in recent years. These tools excel in automating input generation but are limited by their test oracles, which can only detect crashes, regressions, and violations of API specifications or design best practices. This article introduces AGORA+, an approach for generating test oracles for REST APIs through the detection of invariants—output properties that should always hold. AGORA+ learns the expected behavior of an API by analyzing API requests and their corresponding responses. We enhanced the Daikon tool for dynamic detection of likely invariants, adding new invariant types and creating a front-end called Beet. Beet translates any OpenAPI specification and a set of API requests and responses into Daikon inputs. AGORA+ can detect 106 different types of invariants in REST APIs. We also developed PostmanAssertify, which converts the invariants identified by AGORA+ into executable JavaScript assertions. AGORA+ achieved a precision of 80% on 25 operations from 20 industrial APIs. It also identified 48% of errors systematically seeded in the outputs of the APIs under test. AGORA+ uncovered 32 bugs in popular APIs, including Amadeus, Deutschebahn, GitHub, Marvel, NYTimesBooks, and YouTube, leading to fixes and documentation updates.

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Institutions

Publication Details

Journal
ACM Transactions on Software Engineering and Methodology
Published
2025-03-28
DOI
https://doi.org/10.1145/3726524
Citations
2
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
4.62
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article

Test Oracle Generation for REST APIs

Juan C. Alonso, Michael D. Ernst, Sergio Segura, Antonio Ruiz–Cortés
2 citations
ACM Transactions on Software Engineering and Methodology
Software Testing and Debugging Techniques
4.62
article

Test Oracle Generation for REST APIs

Juan C. Alonso, Michael D. Ernst, Sergio Segura, Antonio Ruiz–Cortés
article en
2 citations

Abstract

The number and complexity of test case generation tools for REST APIs have significantly increased in recent years. These tools excel in automating input generation but are limited by their test oracles, which can only detect crashes, regressions, and violations of API specifications or design best practices. This article introduces AGORA+, an approach for generating test oracles for REST APIs through the detection of invariants—output properties that should always hold. AGORA+ learns the expected behavior of an API by analyzing API requests and their corresponding responses. We enhanced the Daikon tool for dynamic detection of likely invariants, adding new invariant types and creating a front-end called Beet. Beet translates any OpenAPI specification and a set of API requests and responses into Daikon inputs. AGORA+ can detect 106 different types of invariants in REST APIs. We also developed PostmanAssertify, which converts the invariants identified by AGORA+ into executable JavaScript assertions. AGORA+ achieved a precision of 80% on 25 operations from 20 industrial APIs. It also identified 48% of errors systematically seeded in the outputs of the APIs under test. AGORA+ uncovered 32 bugs in popular APIs, including Amadeus, Deutschebahn, GitHub, Marvel, NYTimesBooks, and YouTube, leading to fixes and documentation updates.

ACM Transactions on Software Engineering and MethodologyVol. 35(1)
University of Washington (US), Universidad de Sevilla (ES)
Openalex Percentile: Top 7%
Software Testing and Debugging Techniques
4.62
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