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P2 RESTCluster: Automated Crash Clustering for RESTful API

RESTCluster:面向 RESTful API 的自动化崩溃聚类
ASE Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering2022匹配度 1/10 · 该论文研究RESTful API自动化测试的崩溃聚类,属于软件测试与调试领域,与用户关注的静态分析、LLM/Agent、浮点程序分析、贝叶斯程序分析等核心方向无直接关联。引用 2 inbox
Yi Liu
crossref: 2026-09-12

AI 速览

一句话:提出 RESTCluster,将 RESTful API 自动化测试产生的大量崩溃或失败用例自动聚类,辅助开发者调试云服务。

RESTful API 已被多家知名公司用于提供云服务,因此其质量保证十分关键。已有自动化 RESTful API 测试技术虽能发现故障,却往往产生大量失败测试用例;开发者逐一验证这些用例负担沉重,因此自动失败聚类是辅助调试云服务的有前景方案。论文题目为 RESTCluster,核心贡献是面向 RESTful API 的自动化崩溃聚类。摘要未描述具体聚类算法、特征表示、实验对象或评估指标,也未报告结果。

问题
自动化 RESTful API 测试常生成大量失败测试用例,开发者逐一验证成本高,亟需自动失败聚类来辅助调试云服务。
方法
论文提出 RESTCluster,对 RESTful API 的失败或崩溃测试用例进行自动聚类,以减轻开发者人工排查负担并支持云服务调试。
评估
摘要未给出具体实验评估信息,仅说明自动失败聚类是辅助调试云服务的有前景方案。
原文摘要(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.

链接与引用

DOI 原文 ·

BibTeX
@inproceedings{paperbot7145,
  title = {RESTCluster: Automated Crash Clustering for RESTful API},
  author = {Yi Liu},
  booktitle = {ASE},
  year = {2022},
  doi = {10.1145/3551349.3559511}
}