RESTCluster: Automated Crash Clustering for RESTful API
RESTful APIs have been applied to provide cloud services by various notable companies. The quality assurance of RESTful API is critical. Several automatic RESTful API testing techniques have been proposed to tame this issue. By analyzing crashes caused by each test case, developers can find potential bugs in cloud services. However, automatic tools usually generate a massive number of failed test cases. Since it is labor-intensive for developers to validate each test case, automated crash clustering is one promising solution to help debug cloud services.
In this paper, we propose RESTCluster, a two-phase crash clustering approach. The preliminary evaluation result shows that RESTCluster can achieve 100% precision in different sizes of subjects with a high recall.
Tue 11 OctDisplayed time zone: Eastern Time (US & Canada) change
15:30 - 16:00 | |||
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15:30 30mPoster | RESTCluster: Automated Crash Clustering for RESTful API Student Research Competition Yi Liu Nanyang Technological University | ||
