Testability

Testability is a software attribute that measures the ease with which a software module can be tested to identify any defects. Coursera's testability catalogue teaches you how to design and evaluate software systems with high testability. You'll learn about the principles of testability, including control, observability, and simplicity. Moreover, you'll gain insights into how to create robust testing strategies, including unit testing, integration testing, and system testing. Also, you'll understand the role of mock objects, test harnesses, and test automation. Whether you're a software engineer, QA specialist, or someone interested in making software systems reliable and easy to test, this skill will significantly boost your capabilities.

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.
Learn from top instructors with graded assignments, videos, and discussion forums.
Get in-depth knowledge of a subject by completing a series of courses and projects.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Tools
Required

Results for "Testability"

  • University of Minnesota

    Skills you'll gain: Open Web Application Security Project (OWASP), Cucumber (Software), Software Testing, Selenium (Software), Gherkin (Scripting Language), JUnit, Verification And Validation, Test Automation, Unit Testing, Security Testing, Regression Testing, Test Case, Software Development Tools, Testability, White-Box Testing, Behavior-Driven Development, Code Coverage, Performance Testing, Development Testing, Test Engineering

  • From the course: Unit Testing & Test-Driven Development·Lesson: Isolation, Mocking and Testability

  • University of Minnesota

    Skills you'll gain: Cucumber (Software), Gherkin (Scripting Language), Software Testing, Testability, Test Case, White-Box Testing, Behavior-Driven Development, Code Coverage, Test Engineering, Functional Testing, Test Automation, JUnit, Requirements Analysis, Java Programming

  • Skills you'll gain: Generative AI Agents, Model Deployment, LLM Application, Agentic Workflows, Multimodal Prompts, Prompt Engineering, Agentic systems, Artificial Intelligence, Application Deployment, Test Case, Application Performance Management, Testability, System Design and Implementation, Application Development, API Design, Containerization, System Monitoring, Docker (Software), Software Testing, Python Programming

  • From the course: PCB/CAD Design – DFM & DFT Considerations·Lesson: Untitled Lesson

  • From the course: PCB/CAD Design – DFM & DFT Considerations·Lesson: Untitled Lesson

  • From the course: Python Programming Fundamentals·Lesson: Introduction to unit testing

  • Skills you'll gain: Incident Management, Governance, Incident Response, Data Governance, Compliance Management, Policy Development, Risk Management, Governance Risk Management and Compliance, Risk Management Framework, Supplier Risk Management, Artificial Intelligence, Model Training, AI Security, Testability, Statistical Methods, Data Science, Model Optimization, Applied Machine Learning, Machine Learning Methods, Python Programming

  • From the course: ASP.NET Core - SOLID and Clean Architecture (.NET 5 and Up)·Lesson: Testing

  • From the course: Advanced Quality and Capstone Project·Lesson: Project Kickoff and Planning

  • From the course: Hypothesis-Driven Development·Lesson: Introduction

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, PyTorch (Machine Learning Library), Responsible AI, Debugging, Model Deployment, Model Training, Model Optimization, Deep Learning, Test Tools, Applied Machine Learning, Testability, Machine Learning Methods, Machine Learning, Data Preprocessing, Verification And Validation, Python Programming, AI Security, Test Driven Development (TDD), AI Enablement