大型工业软件系统的质量评估:阿里巴巴的经验报告

Chen Zhi, Shuiguang Deng, Jianwei Yin, Min Fu, Hai Zhu, Yuanping Li, Tao Xie
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引用次数: 4

摘要

为了保证大型工业软件系统的高软件质量,传统的软件质量保证方法,如软件测试和性能工程,在阿里巴巴这个世界上最大的零售商和世界上最大的互联网公司之一被广泛使用。但是,为了实现阿里巴巴的业务增长和工程文化的高度可持续性,对软件质量评估的需求仍然很高。为了解决这个问题,我们通过在工业环境中遵循GQM范例,为软件质量评估开发了一个工业解决方案。此外,我们将多种评估方法集成到我们的解决方案中,范围从度量选择到评级聚合。我们的解决方案已经在阿里巴巴实施、部署和采用:(1)被阿里巴巴业务平台部门用于持续监控60多个核心软件系统的质量;(2)被阿里巴巴的研发效率部门用于支持全集团范围内的质量意识代码搜索和自动代码检查。本文介绍了我们提出的工业解决方案,包括其技术和工业采用,以及在我们的解决方案的开发和部署过程中吸取的经验教训。
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Quality Assessment for Large-Scale Industrial Software Systems: Experience Report at Alibaba
To assure high software quality for large-scale industrial software systems, traditional approaches of software quality assurance, such as software testing and performance engineering, have been widely used within Alibaba, the world's largest retailer, and one of the largest Internet companies in the world. However, there still exists a high demand for software quality assessment to achieve high sustainability of business growth and engineering culture in Alibaba. To address this issue, we develop an industrial solution for software quality assessment by following the GQM paradigm in an industrial setting. Moreover, we integrate multiple assessment methods into our solution, ranging from metric selection to rating aggregation. Our solution has been implemented, deployed, and adopted at Alibaba: (1) used by Alibaba's Business Platform Unit to continually monitor the quality for 60+ core software systems; (2) used by Alibaba's R&D Efficiency Unit to support group-wide quality-aware code search and automatic code inspection. This paper presents our proposed industrial solution, including its techniques and industrial adoption, along with the lessons learned during the development and deployment of our solution.
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