DevOps中的质量评估:税务欺诈检测系统的自动分析

Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion Pub Date : 2017-04-18 DOI:10.1145/3053600.3053632

Diego Perez-Palacin, Y. Ridene, J. Merseguer

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引用次数: 9

摘要

本文介绍了一个税务欺诈检测系统的DevOps流程的工业应用。特别地，我们报告了开发迭代期间质量评估的影响，特别关注性能需求的实现。我们研究了在添加新功能的过程迭代中如何保证质量需求。在一个旨在提高数据密集型应用质量的项目背景下，从业人员和学者已经开展了这方面的经验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Quality Assessment in DevOps: Automated Analysis of a Tax Fraud Detection System

The paper presents an industrial application of a DevOps process for a Tax fraud detection system. In particular, we report the influence of the quality assessment during development iterations, with special focus on the fulfillment of performance requirements. We investigated how to guarantee quality requirements in a process iteration while new functionalities are added. The experience has been carried out by practitioners and academics in the context of a project for improving quality of data intensive applications.

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Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering Companion

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