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由于疫情影响，数字转型对多数企业来说已经不是可有可无的选项，成熟的自动化测试流程在这其中扮演一个相当重要的角色。但碍于许多复杂项目及战略方针需要同时快速进行，测试组时常忽略了定期重复审视现有测试方式，以及优化整体流程的重要性。因此，无论您是已具备多年经验的测试工程师，或是刚开始学习如何利用自动化测试框架的新手，SmartBear及上海道宁将一同分享实际经验和专业知识，来帮助您重新思考如何更有效、更快、更准确地执行大量的测试用例。除了可以提升软件品质，还能替企业减少所需投入的金钱及资源。 在这场45分钟的线上研讨会中，我们会分享： 为什么需要自动化测试？ 优势及最佳实践 如何开始着手建立自动化流程  如何利用TestComplete达到测试目标 2021年五月12号 11:00 点（GMT+8)

ReadyAPI Now Supports Apache Kafka! In 2006, SoapUI was initially developed with a singular goal, create a simple open source SOAP API testing tool.  Since then, developers have contributed code and provided valuable feedback to help SmartBear transform SoapUI into ReadyAPI, the most powerful API testing platform on the market. From our humble beginnings, we have

In some ways, the most valuable contribution of the project owner is to deliver a reviewed set of documents, code, and peer insights. However, this level of collaboration for models and equations can be challenging, and manual/visual inspection could lead to errors.  Many Simulink users do not have an easy way to achieve collaborative, peer-reviewed

For an engineering manager, there never seems to be a right answer. Your customers and business partners are constantly demanding new features while your developers complain about slow builds, flickering automated tests and legacy code that they can’t work with. There’s a constant background noise of interviewing and hiring, and you’re not sure whether to

Adoption for event-driven architectures (EDA) continues to increase as more organizations realize the value of using real-time data to expand business insight and enhance customer and partner engagement. Additionally, event-driven architectures are increasingly playing a vital role in mitigating data gravity when migrating on-premise applications to public cloud.   In the same way APIs expose siloed applications, event-streams can unlock siloed data when utilized with

With many organizations continuing to give teams the flexibility to build and manage their own delivery processes, a balancing point between tooling choice autonomy and mandating tooling dependencies needs to be struck.  As teams explore the many alternatives to traditional CI/CD tooling and as code and delivery move closer together on platforms such as GitHub and Gitlab, the need for scalable solutions teams can build around and