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所在平台: Udemy |
课程主页: https://www.udemy.com/course/qa-qc-metrics-kpis-learnit/
课程评论：没有评论
课程名称：数据驱动的质量保证与质量控制：指标/KPI 课程概述： 在现代软件开发中，数据是关键，尤其是在质量保证（QA）领域。无论你是进行手动测试、领导自动化测试还是管理QA团队，收集和解读正确的QA指标的能力能够将猜测转变为战略。《数据驱动的质量保证与质量控制：QA指标》是一本完整的实用指南，旨在帮助学员理解和应用QA和QC中最重要的指标。你将学习如何识别关键趋势、跟踪测试性能，并以适合技术和非技术利益相关者的方式呈现你的结果。 课程内容涵盖： - 核心QA与QC指标及KPI：理解两者的主要区别及其在衡量质量中的作用。 - 自动化与手动测试KPI：学习两种测试方式的指标，如执行率、通过/失败率、波动性、自动化覆盖率等。 - 缺陷指标与趋势：发现如何利用数据识别模式、根本原因及质量风险。 - 质量测量策略：应用框架来跟踪测试覆盖率、产品准备度、测试用例有效性等。 - 通过指标推动过程改进：运用历史数据来推动回顾、减少技术欠债、优化测试周期。 - QA仪表板与报告技巧：学习构建引人注目的视觉摘要的技能，使用工具如Jira、Excel或TestRail。 你还将获得可操作的工具：KPI模板、指标仪表板、公式和检查表，可在实际项目中使用。 适合人群： 本课程特别适合以下人员： - 希望提高工作可量化和可见性的QA工程师及测试人员。 - 渴望量化自动化框架有效性的自动化测试人员。 - 寻求实施或改进团队质量指标的QA负责人和管理者。 - 希望实时了解产品和过程质量的Scrum大师和产品负责人。 - 任何希望使用数据语言交流的软件质量和交付相关人员。 为何指标重要： 在敏捷和DevOps环境中，决策快速且常常缺乏数据，而没有数据QA可能会被落下。本课程教你如何为你的测试工作带来清晰度和可信度。通过真实的指标，你可以清楚展示哪些方面有效、哪些需要修复，以及如何合理分配团队的时间。 完成本课程后，你将能够自信地建立和使用QA指标框架，推动真实的改进，并获得团队、利益相关者和领导的关注。立即加入，开始提供不仅仅是好的，而是可衡量的质量。
Build a Metrics-Driven QA Practice with Confidence - Learn to Measure, Improve, and Communicate Software QualityIn modern software development, data is power - and that includes Quality Assurance. Whether you're testing manually, leading automation, or managing QA teams, the ability to collect and interpret the right QA metrics is what separates guesswork from strategy."Data-Driven Quality Assurance & Quality Control: QA Metrics" is a complete, practical guide to understanding and applying the most critical metrics in QA and QC. You'll learn how to identify key trends, track testing performance, and present your results in a way that makes sense to both technical and non-technical stakeholders.What This Course Covers:Core QA & QC Metrics and KPIs: Understand the key differences and how both play a role in measuring qualityAutomation & Manual Testing KPIs: Learn metrics for both types of testing-execution rates, pass/fail ratios, flakiness, automation coverageDefect Metrics & Trends: Discover how to use data to identify patterns, root causes, and quality risksQuality Measurement Strategies: Apply frameworks for tracking test coverage, product readiness, test case effectiveness, and moreProcess Improvement Through Metrics: Use historical data to drive retrospectives, reduce technical debt, and optimize test cyclesQA Dashboards & Reporting Techniques: Learn new things that will help you to build compelling, visual summaries using tools like Jira, Excel, or TestRailYou'll also get actionable tools: KPI templates, metric dashboards, formulas, and checklists you can use in real-world projects.Who Is This Course For?This course is ideal for:QA Engineers & Testers aiming to make their work more measurable and visibleAutomation Testers looking to quantify their frameworks' effectivenessQA Leads & Managers seeking to implement or improve their team's quality metricsScrum Masters & Product Owners who want real-time insights into product and process qualityAnyone involved in software quality and delivery who wants to speak the language of dataWhy Metrics MatterIn Agile and DevOps environments, decisions are made fast-and without data, QA can get left behind. This course teaches you how to bring clarity and credibility to your testing efforts. With real metrics, you can show exactly what's working, what needs fixing, and how to prioritize your team's time effectively.By the end of this course, you'll be confident in building and using a QA metrics framework that drives real improvement-and gets noticed by your team, stakeholders, and leadership.Join now and start delivering quality that's not just good-but measurable.
