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RESTCluster: Automated Crash Clustering for RESTful API

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Yi LiuAuthors Info & Claims

ASE '22: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Article No.: 198, Pages 1 - 3

https://doi.org/10.1145/3551349.3559511

Published: 05 January 2023 Publication History

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Abstract

RESTful API has been adopted by many other notable companies to provide cloud services. Quality assurance of RESTful API is essential. Several automated RESTful API testing techniques have been proposed to overcome this problem. However, automated tools often generate a large number of failed test cases. Since validating each test case is a lot of work for developers, automatic failure clustering is a promising solution to help debug cloud services.

In this paper, we propose RESTCluster, a two-phase crash clustering approach. The preliminary evaluation result indicates that RESTCluster can achieve 100% precision in different sizes of subjects with a high recall.

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Cited By

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Wang YXu Y(2024)Beyond REST: Introducing APIF for Comprehensive API Vulnerability FuzzingProceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3678890.3678928(435-449)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3678890.3678928
Qian CZhang MNie YLu SCao H(2023)A Survey on Bug Deduplication and Triage Methods from Multiple Points of ViewApplied Sciences10.3390/app1315878813:15(8788)Online publication date: 29-Jul-2023
https://doi.org/10.3390/app13158788

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ASE '22: Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

October 2022

2006 pages

ISBN:9781450394758

DOI:10.1145/3551349

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 05 January 2023

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ASE '22

ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering

October 10 - 14, 2022

MI, Rochester, USA

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Wang YXu Y(2024)Beyond REST: Introducing APIF for Comprehensive API Vulnerability FuzzingProceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3678890.3678928(435-449)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3678890.3678928
Qian CZhang MNie YLu SCao H(2023)A Survey on Bug Deduplication and Triage Methods from Multiple Points of ViewApplied Sciences10.3390/app1315878813:15(8788)Online publication date: 29-Jul-2023
https://doi.org/10.3390/app13158788

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Recommendations

Morest: Industry Practice of Automatic RESTful API Testing

RESTInfer: automated inferring parameter constraints from natural language RESTful API descriptions

RESTful API Automated Test Case Generation with EvoMaster

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