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Quality Analysis
Explore and master the fundamentals of Quality Analysis
You've not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.Chapter 1
Introduction to Quality Assurance
Quality Assurance (QA) encompasses a systematic approach aimed at guaranteeing a product or service adheres to established quality standards and fulfills customer expectations. It emphasizes proactive measures to prevent defects throughout the development lifecycle, contrasting with traditional approaches which focus on identifying problems post-production. Quality Assurance plays a vital role in enhancing reliability and user satisfaction across various industries, fostering continuous improvements in processes and services offered.
Chapter 2
SDLC & QA's Role in IT
The Software Development Life Cycle (SDLC) presents a structured approach for creating software applications, emphasizing the importance of quality assurance (QA) throughout the process. Different SDLC models, such as Waterfall and Agile, showcase distinct phases and QA roles, with Agile allowing for more continuous involvement. Effective QA practices are crucial for ensuring high-quality outcomes in software development.
Chapter 3
Software Testing Life Cycle (STLC)
The Software Testing Life Cycle (STLC) is a structured process that outlines specific phases followed by QA teams to ensure software testing is conducted systematically. While the Software Development Life Cycle (SDLC) emphasizes software development, STLC focuses on the various steps critical to testing, including requirement analysis, test planning, test case development, and execution. Each phase has defined entry and exit criteria to maintain quality and accountability throughout the testing process.
Chapter 4
Types of Testing
The chapter explores various categories of testing, emphasizing the differences between manual and automation testing, as well as functional versus non-functional testing. It details several common types of testing, their purposes, and appropriate use cases. The insights provided aim to assist QA professionals in selecting the most suitable testing approaches based on project requirements.
Chapter 5
Test Case Design Techniques
Well-designed test cases maximize coverage while minimizing effort, focusing on techniques such as Boundary Value Analysis, Equivalence Partitioning, Decision Table Testing, and State Transition Testing. Understanding the distinctions between test scenarios and test cases is vital for effective test design, allowing for targeted execution and reporting. The chapter emphasizes combining different techniques to achieve comprehensive testing and improve the quality of software products.
Chapter 6
Requirement Traceability Matrix (RTM)
A Requirement Traceability Matrix (RTM) is essential in software development as it ensures that all requirements are verified and validated throughout the testing lifecycle. It serves as a tool for tracking the relationship between user requirements and test cases, thereby enhancing coverage and communication among teams. The chapter outlines the structure of an RTM, steps for creating one, and the importance of bidirectional traceability.
Chapter 7
Defect Lifecycle and Bug Reporting
Defect management is integral to Quality Assurance, focusing on tracking, prioritizing, and communicating defects to enhance product quality. The chapter covers the concept of defects, their lifecycle, the importance of severity and priority, and best practices for writing effective bug reports. By understanding these elements, teams can streamline the defect resolution process and improve overall software quality.
Chapter 8
Testing in Agile Projects
Agile testing integrates quality assurance into every sprint, emphasizing collaboration among team members and continuous feedback. Key principles include early testing, shared responsibilities, and a focus on automation, allowing for rapid adjustments and improved software quality. The role of QA evolves to include participation in all Scrum ceremonies, ensuring that testing is an ongoing process rather than a final step.
Chapter 9
Core Concepts 22
Test management tools play a critical role in modern QA teams by aiding in the planning, organizing, tracking, and reporting of testing activities. These tools foster collaboration among testers, developers, and stakeholders, ensuring transparency throughout the testing processes. Notable tools like JIRA, TestRail, and Zephyr enhance bug management, test execution, and reporting capabilities, facilitating Agile project management and efficient workflows.
Chapter 10
Introduction to Automation Testing
Automation Testing enhances the speed, accuracy, and efficiency of software testing processes by using tools and scripts to automate test execution. It provides numerous benefits such as improved test coverage and the ability to integrate seamlessly into continuous integration/continuous deployment (CI/CD) workflows. However, there are limitations to be considered, including the initial investment and the need for skilled testers to manage automation scripts.
Chapter 11
API Testing Using Postman
API testing using Postman is crucial for ensuring application reliability and data integrity. The chapter introduces the concept of APIs, focusing on REST APIs and their operations. Postman serves as a powerful tool for making requests and validating responses, highlighted through examples of GET and POST requests, and the importance of writing assertions for effective testing.
Chapter 12
SQL for QA Analysts
Understanding SQL is crucial for QA Analysts to validate backend data and troubleshoot effectively. The chapter outlines various basic SQL queries such as SELECT, WHERE, JOIN, and ORDER BY that QA Analysts can utilize to compare frontend outputs with backend database entries. Additionally, it covers common QA scenarios, safety tips for using SQL, and the importance of accurate data validation.
Chapter 13
Performance Testing Basics
Performance Testing is a crucial non-functional testing technique focused on evaluating the behavior of systems under various workloads to ensure efficiency and reliability. It encompasses different testing types like Load Testing, Stress Testing, and Spike Testing, each targeting specific performance aspects. Tools like Apache JMeter facilitate the execution of these tests, allowing testers to analyze response times, throughput, and error rates effectively.