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Software Architecture Measurement-Experiences from a Multinational Company

机译:一家跨国公司的软件体系结构度量-经验

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In this paper, we present our 4-year experience of creating, evolving, and validating an automated software architecture measurement system within Huawei. This system is centered around a comprehensive scale called the Standard Architecture Index (SAI), which is composed of a number of measures, each reflecting a recurring architecture problem. Development teams use this as a guide to figure out how to achieve a better score by addressing the underlying problems. The measurement practice thus motivates desired behaviors and outcomes. In this paper, we present our experience of creating and validating SAI 1.0 and 2.0, which has been adopted as the enterprise-wide standard, and our directions towards SAI 3.0. We will describe how we got the development teams to accept and apply SAI through pilot studies, constantly adjusting the formula based on feedback, and correlating SAI scores with productivity measures. Our experience shows that it is critical to guide development teams to focus on the underlying problems behind each measure within SAI, rather than on the score itself. It is also critical to introduce state-of-the-art technologies to the development teams. In doing so they can leverage these technologies to pinpoint and quantify architecture problems so that better SAI scores can be achieved, along with better quality and productivity.
机译:在本文中,我们介绍了我们在华为内部创建,发展和验证自动化软件体系结构评估系统的4年经验。该系统以称为标准体系结构索引(SAI)的综合规模为中心,该体系由许多措施组成,每个措施都反映了重复出现的体系结构问题。开发团队以此为指导,找出如何通过解决潜在问题来获得更高的分数。因此,测量实践会激发所需的行为和结果。在本文中,我们介绍了我们在创建和验证SAI 1.0和2.0(已被采纳为整个企业范围的标准)方面的经验,以及我们对SAI 3.0的方向。我们将描述我们如何使开发团队通过试点研究来接受和应用SAI,如何根据反馈不断调整公式,以及如何将SAI得分与生产率指标相关联。我们的经验表明,引导开发团队专注于SAI中每个度量标准背后的潜在问题,而不是得分本身,至关重要。向开发团队介绍最新技术也至关重要。通过这样做,他们可以利用这些技术来查明和量化体系结构问题,以便获得更好的SAI分数,以及更好的质量和生产率。

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