Will automation improve quality
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For https://www.agileglobalevent.com/conference/agile-testing/agile-testing-and-automation-melbourne Often automation is seen as a magic bullet that will somehow increase the quality of a product. In this talk we will explore how automation is like manual testing, a tool that is part of a larger effort to improve quality. We look at how to automation can be applied at various stages of the software development life cycle and what non-technical factors need to be considered for automation to have a chance of succeeding. Finally we will look at possible career paths for testers in an Agile and automation rich workplace.
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The document describes the Certified Professional Automation Agile Testing (CP-AAT) certification program, which teaches practical agile testing concepts through hands-on experience with tools like Cucumber, FitNesse, Selenium, and Hudson/Jenkins. The 3-day program helps participants learn testing approaches like behavior-driven development, acceptance test-driven development, and test-driven development. It also covers test automation frameworks, continuous integration, and shift-left and right-side testing. The certification involves theory, practical, and behavioral assessments to demonstrate hands-on tool knowledge and contribute as an agile team member.
Test Automation
This document summarizes a presentation on test automation. It discusses why test automation is needed such as manual testing taking too long and being error prone. It covers barriers to test automation like lack of experience and programmer attitudes. An automation strategy is proposed, including categories of tests to automate and not automate. Best practices are provided such as having an automation engineer and following software development practices. Specific tools are also mentioned. Good practices and lessons learned are shared such as prioritizing tests and starting better practices with new development.
Automation Concepts
The document discusses key aspects of successful test automation including:
1. Applying a software development process to automation to improve reliability and maintainability.
2. Improving testing processes with robust manual testing and defect management before automating.
3. Clearly defining requirements for what to automate and goals of the automation effort.
Enhancing Software Quality
The document discusses the need for enhanced software quality training. It notes that current education lacks depth and real-world experience. A new approach to training is needed that focuses on building a strong conceptual foundation and practical skills through hands-on learning of techniques, tools, and best practices. This should involve real-world projects, continuous learning, and training that is interactive and never fully ends.
Quality Loopback
The ability to deliver software to production speedily and reliably is critical to supporting a disruptive business landscape and covering implementation gaps. A key factor inhibiting this is testing. DevOps practices encourage shifting left, i.e., testing more during development using unit and component test rather than with QA using end-to-end tests. However, unit and component testing lack functional coverage that may exist in QA end-to-end tests. Shifting left with a domain focus may lead to component and unit tests that don't just guarantee that the software is built right but also that the right software is build.
What-is-RainforestQA-InfoSheet
Rainforest QA is a platform that allows teams to do functional testing at the speed of automation by leveraging both manual and automated testing. It treats manual QA testing like automation by having tests written in plain English and sent to Rainforest testers to run, with results returned in around 30 minutes. This enables teams to test early and often to support faster development cycles without sacrificing quality. The platform integrates with existing development tools and processes.
Rainforest QA InfoSheet
Rainforest QA is a platform that allows teams to do functional testing at the speed of automation by leveraging both manual and automated testing. It treats manual QA like automation by enabling users to easily write and run tests in plain English that are then executed by Rainforest testers, with results returned within 30 minutes. This provides a faster and more flexible testing solution than traditional manual or solely automated approaches. The platform integrates with existing development tools and processes.
Tce automation-d4
This document discusses continuous integration and deployment practices. It begins by asking questions about the topics and then provides explanations and examples. The key points discussed are:
- Connecting business to operations through automation.
- The roles of development, QA, and operations in automation.
- Best practices for automation including unit testing, integration testing, and continuous integration/deployment.
- A case study that automated deployment, testing, and continuous integration using tools like Hudson, Maven, and a private cloud.
Parasoft .TEST, Write better C# Code Using Data Flow Analysis
Data flow analysis is a type of static code analysis that examines how values are propagated through a program. It is more effective than pattern matching or regular static analysis at finding defects related to interactions between methods and classes that may be difficult to uncover through testing alone. Static analysis tools using data flow analysis can simulate execution paths to detect potential issues without requiring the code to be compiled and run. Developers are encouraged to use static testing tools to catch defects early in development, as prevention of bugs is more efficient than finding and fixing them later.
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Quality Principals and its application to project management
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Parasoft .TEST, Write better C# Code Using Data Flow Analysis
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
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Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
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12. Jupyter Notebooks with Code Examples
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Will automation improve quality
- 1. Will Automation Improve Quality? Guy Gershoni
- 4. Code Coverage - 100% == fully correct - Will ensure quality
- 5. Project A - over 90% - Reliably unreliable! Project B: - 0% - Reliable and successful
- 6. Expensive to Write, Run and Maintain
- 7. TDD & BDD are not just for regression
- 8. Unit Tests VS Functional Tests
- 9. Automated Testing can also become a bottleneck
- 10. Goal of Automation Suite… Fail FAST!
- 11. Is a Gamble… play the odds
- 12. Automation is not All or Nothing
- 13. Automated Testing != Manual Testing
- 14. Quality Testing
- 15. Define Quality Monitor QualityImprove Quality
- 18. Roll Forwards
- 19. Roll Backwards
- 20. Monitoring
- 21. Collect Logs
- 22. System X hasn’t logged payment for an hour?
- 23. Reduced MTTR!
- 25. Confidence
- 26. Detectability
- 27. Recoverability
- 28. Blast Radius
- 29. Journey from Tester to...
- 31. Summary
- 32. Summary ● Can be complex and hairy ○ But can add value by broadening test scope ● Tests can add value in Analysis and Design phase ● Quality is not just Testing (Automated and Manual) ● Automation Suites should try and fail as fast as possible… can become a bottleneck ● Can reduce the cost of failure with good Deployments and Monitoring and reduce pressure on testing ● Work on appropriate level of automation for team/company… can change over time.
- 33. Questions?