Bottlenecks limit application performance and can be caused by hardware, software, or network resources. Identifying bottlenecks in complex J2EE applications requires various tools. The process involves running load tests using diagnostic tools to identify bottleneck layers and components, then using profilers to debug problematic code. Monitoring application server heap usage and server resource consumption also helps identify bottlenecks.
Choosing an appropriate tool and building the right framework are typically thought of as the main challenges in implementing successful test automation. However, long term success requires that other key questions must be answered including: - What are our objectives? - How should we be organized? - Will our processes need to change? - Will our test environment support test automation? - What skills will we need? - How and when should we implement? In this workshop, Lee will discuss how to assess your test automation readiness and build a strategy for long term success. You will interactively walk through the assessment process and build a test automation strategy based on input from the group. Attend this workshop and you will take away a blue print and best practices for building an effective test automation strategy in your organization. • Understand the key aspects of a successful test automation function • Learn how to assess your test automation readiness • Develop a test automation strategy specific to your organization
In this presentation which was delivered to testers in Manchester, I help would-be performance testers to get started in performance testing. Drawing on my experiences as a performance tester and test manager, I explain the principles of performance testing and highlight some of the pitfalls.
The document outlines a test strategy for an agile software project. It discusses testing at each stage: release planning, sprints, a hardening sprint, and release. Key points include writing test cases during planning and sprints, different types of testing done during each phase including unit, integration, feature and system testing, retrospectives to improve, and using metrics like burn downs and defect tracking to enhance predictability. The overall strategy emphasizes testing early and often throughout development in short iterations.
This document discusses performance testing and provides information on several related topics: - It defines performance, load, and stress testing and explains their differences. - It outlines why performance testing is important, when it should be conducted, and what aspects of a system should be tested. - The performance testing process is described as involving planning, creating test scenarios and scripts, running tests, monitoring tests, and analyzing results. - Automated performance testing is presented as more effective than manual testing due to issues with resources, coordination, and repeatability when using human testers.
The document discusses test management for software quality assurance, including defining test management as organizing and controlling the testing process and artifacts. It covers the phases of test management like planning, authoring, execution, and reporting. Additionally, it discusses challenges in test management, priorities and classifications for testing, and the role and responsibilities of the test manager.
The document provides an introduction and overview of performance testing. It discusses what performance testing, tuning, and engineering are and why they are important. It outlines the typical performance test cycle and common types of performance tests. Finally, it discusses some myths about performance testing and gives an overview of common performance testing tools and architectures.