Introduction to Performance Testing

Introduction to Performance Testing

This theoretical course offers an introduction and in-depth look at Performance Testing, covering essential concepts, test planning, data preparation, and execution strategies. It emphasizes the importance of realistic test scenarios, understanding user behavior, and analyzing performance metrics.This is an introductory course in performance testing.

Durată
7 ore
Tipul de curs
Pe net
Limba
Engleză
Durată
7 ore
Locație
Pe net
Limba
Engleză
Cod
SQA-033
Training pentru 7-8 sau mai multe persoane? Personalizați antrenamentele pentru nevoile dumneavoastră specifice
Introduction to Performance Testing
Durată
7 ore
Locație
Online
Limba
English
Cod
SQA-033
€ 350 *
Training pentru 7-8 sau mai multe persoane? Personalizați antrenamentele pentru nevoile dumneavoastră specifice

Descriere

This Introduction to Performance Testing course provides an in-depth understanding of how to conduct effective performance tests. It covers key areas such as planning test strategies, preparing realistic test data, and executing various test scenarios. The course emphasizes the use of real-world data, importance of data uniqueness, and techniques to manage different data volumes.

Learners will explore performance metrics like response time and throughput, and understand how to analyze these for system optimization. Additionally, the course addresses the challenges of data caching, invalid data inputs, and the impact of user behavior on system performance.

By the end, participants will be equipped with

practical skills for implementing robust performance testing in diverse

environments.This theoretical course offers an introduction and in-depth look at Performance Testing, covering essential concepts, test planning, data preparation, and execution strategies. It emphasizes the importance of realistic test scenarios, understanding user behavior, and analyzing performance metrics.

certificat
După finalizarea cursului, se eliberează un certificat
în formularul Luxoft Training

Obiective

The objective of this course is to equip participants with a thorough understanding of performance testing, encompassing aspects such as strategic test planning, realistic test data preparation, execution of diverse testing scenarios, and comprehensive analysis of performance metrics. Emphasizing practical application, the course is tailored to enhance skills in identifying and optimizing system performance under a variety of conditions, ensuring learners can effectively address real-world challenges in performance testing environments.

Public țintă

  • Test managers, 
  • Junior performance testers.

Cerințe preliminare

Experience with Windows OS, web-application testing experience and basic HTTP protocol knowledge.

Foaia de parcurs

  1. Introduction and Basic Concepts: Begin with an overview of performance testing, introducing its purpose, significance, and basic terminologies. This foundational module sets the stage for more advanced topics.

  2. Analysis and Preparation for Performance Testing: Delve into the initial stages of performance testing, focusing on understanding the system under test, setting testing goals, and assessing current performance.

  3. Planning and Realistic User Modeling: Learn how to develop a comprehensive test plan, incorporating strategies for creating realistic user models that closely mimic real-world user behaviors and scenarios.

  4. Test Data Preparation: Gain insights into effective methods for preparing test data, including techniques for generating, managing, and ensuring the realism and uniqueness of the data used in testing scenarios.

  5. Test Environment Preparation: Understand the essentials of setting up a suitable test environment, covering aspects like configuring hardware, software, and network settings to accurately simulate production environments.

  6. Results: Interpretation and Presentation: Conclude with techniques for analyzing and interpreting test results, focusing on how to effectively present findings, identify bottlenecks, and make data-driven recommendations for system optimization.
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