JSOptimizer: An Extensible Framework for JavaScript Program Optimization

Liu, Yi

doi:10.1109/icse-companion.2019.00069

Cited by 5 publications

(1 citation statement)

References 12 publications

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“…For undocumented APIs, a possible solution is to infer their related schemes in an online manner by analyzing the feedback of the testing process. Another possible solution is to use client-side analysis techniques [31,32,49] to generate traffic between clients and servers and analyze the traffic to infer the correct usage of the undocumented APIs. We leave the support of undocumented APIs as future work.…”

Section: Threats To Validitymentioning

confidence: 99%

Morest: Model-based RESTful API Testing with Execution Feedback

Liu¹,

Li²,

Deng³

et al. 2022

Preprint

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RESTful APIs are arguably the most popular endpoints for accessing Web services. Blackbox testing is one of the emerging techniques for ensuring the reliability of RESTful APIs. The major challenge in testing RESTful APIs is the need for correct sequences of API operation calls for in-depth testing. To build meaningful operation call sequences, researchers have proposed techniques to learn and utilize the API dependencies based on OpenAPI specifications. However, these techniques either lack the overall awareness of how all the APIs are connected or the flexibility of adaptively fixing the learned knowledge.In this paper, we propose Morest, a model-based RESTful API testing technique that builds and maintains a dynamically updating RESTful-service Property Graph (RPG) to model the behaviors of RESTful-services and guide the call sequence generation. We empirically evaluated Morest and the results demonstrate that Morest can successfully request an average of 152.66%-232.45% more API operations, 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 6 real-world projects and found 44 bugs (13 of them cannot be detected by existing approaches). Specifically, 2 of the confirmed bugs are from Bitbucket, a famous code management service with more than 6 million users.

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Section: Threats To Validitymentioning

confidence: 99%