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凯捷(Capgemini):2024-25年世界质量报告(英文版)(54页).pdf

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1、16th Edition 2024-25WORLD QUALITY REPORTNew futures in focusI N A S S O C I AT I O N W I T H:WorldQualityReportRegional and country reports are available online from or from Capgemini,Sogeti,and OpenText local offices covering:North America,United Kingdom,France,Germany,Benelux,Southern Europe(Italy

2、,Spain,and Portugal)Eastern Europe(Poland,Romania,Hungary,and the Czech Republic),China,Australia and New Zealand,Japan,and the Nordics.2 0 2 4-2 5ContentsQuality Engineering in AgileQuality Engineering AutomationQuality Engineering and AIIntelligent Products ValidationQuality Engineeringin Sustaina

3、bility Data Quality12 20 3036445311Current trends inQuality Engineering&TestingAutomotiveManufacturing Consumer Products,Retail,and DistributionHealthcare andLife SciencesPublic SectorFinancial ServicesTelco,Media and TechnologyEnergy,Utilities,Natural Resources,and Chemicals 6468 72768084889263Sect

4、or analysis04Introduction06Executive summary08Key recommendations97About the survey102About the sponsorsWelcome to the very special 16th edition of the World Quality Report,which is recognized as the industrys largest research study to provide a comprehensive assessment of the current state of Quali

5、ty Engineering(QE)practices from around the world and across different industries.Over the last 16 years,this report has tracked and examined the most important trends and developments in Quality Engineering&Testing by surveying 1,775 executives across multiple sectors and regions.Its a great honor

6、for us here at Capgemini and Sogeti to publish this report,along with our strategic technology partner OpenText.We have ensured the topics covered are as wide and far-reaching as possible to give you forward-looking view of the latest trends,challenges,transformative initiatives,and disruptions shap

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根据报告的内容,本文主要涵盖以下关键点: 1. 质量工程在敏捷开发中的重要性日益凸显,40%的组织已将质量工程师直接嵌入敏捷团队,以提升质量工程与敏捷开发的融合。 2. 测试自动化水平持续提升,全球平均测试自动化水平达到44%,其中71%的组织已采用或计划采用新兴技术如AI来增强测试自动化。 3. 数据质量的重要性日益凸显,64%的组织认为数据质量至关重要,但许多组织在数据质量管理方面仍处于初级阶段。 4. 智能产品验证备受关注,21%的测试预算已分配给智能技术,但验证协议、AI模型及集成复杂性仍是挑战。 5. 可持续发展备受重视,98%的公司认为可持续发展目标至关重要,但绿色IT举措的验证仍需加强。 6. 质量工程面临的主要挑战包括缺乏战略定位、自动化程度不足、技能不足等,需要通过业务指标、培训、流程改进等来提升质量工程的价值。 7. 总体而言,质量工程领域正迅速发展,AI等新技术为质量工程带来新机遇,但质量工程师的专业知识和积极参与对成功至关重要。
质量工程在敏捷开发中的角色是什么? 人工智能如何改变质量工程? 质量工程在可持续发展中的作用是什么?
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