Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability

About this course

Software testinggets a bad rap for being difficult, time-consuming, redundant, and above all – boring. But in fact, it is a proven way to ensure that your software will work flawlessly andcan meet release schedules.

In a two-course series, we will teach you automated software testing in an inspiring way. We will show you that testing is not as daunting a task as you might think, and how automated testing will make you a better developer who programs excellent software.

This first course will teach you specification-based testing, boundary testing, test adequacy and code coverage, unit vs system testing, mock objects, design for testability, and test code quality.

This is a highly practical course. Throughout the lessons, you will test various programs by means of different techniques. By the end, you will be able to choose the best testing strategies for different projects.

If you are or want to become a five-star software developer, QA engineer, or software tester, join this course. Testing will never be the same again!

At a glance

  • Institution: DelftX
  • Subject: Computer Science
  • Level: Intermediate
  • Prerequisites:Introductory knowledge of programming, specifically with Java.
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • Professional Certificate in Automated Software Testing
  • Associated skills: Software Quality (SQA/SQC), Software Testing, Unit Testing, Automation, Testability, System Testing, Test Automation, Code Coverage, Boundary Testing, Safety Assurance

What you’ll learn

  • How to test any software system using current state-of-the-arttechniques
  • How to derive test cases that deal with exceptional, corner, and bad-weather cases by means of several different techniques
  • The limitations of current testing techniques and how to decide on the best testing strategies for a given context
  • How to develop testable architectures and to write maintainable test code

Syllabus

Topic 1: Automated software testing

  • Understand some basic principles of testing and whyit requires creativity.
  • Get familiar withsome testing vocabulary, which improves our communication.
  • Devise our first set of tests for a Java program and automatethese testsusing JUnit.
  • Understand the differences between unit, integration, and system testing, as well as the testing pyramid.

Topic 2: Functional testing

  • Learn how to read a requirement and derive the partitions, which are the actual concrete tests we will perform to make sure our system works (we call it “partitioning” and “equivalent partitioning”).
  • Learn how to think about and test possible corner cases, as developersoften forget to deal with such cases (we call itboundary testing).
  • Get a few tips, based on experience, on common corner cases.

Topic 3: Structural testing and code coverage

  • Learn how to analyze the structure of your source code and derive meaningful tests.
  • Be able to use the most popular structural testing adequacy criteria, such as line coverage, branch coverage, and path coverage as well as to understand their differences.
  • Derive a minimal set of tests when your branches (e.g., ifs) are too complex.
  • Use a standard industry code coverage tool and interpret its results.

Topic 4: Testability and mock objects

  • Understand the differences between different test levels (e.g., unit, integration, and system tests)
  • Understand what makes a system more or less testable.
  • Propose refactoring opportunities for increasing testability.
  • Be able to apply mock objects in order to unit test a class.
  • Understand when not to apply mock objects and go for integration tests.

Topic 5 : Test code smells

  • Judge the internal code quality of your test suite and advice possible improvements.
  • Understand and avoid flaky tests.
  • Refactor and clean smelly test code.

More about this course

LICENSE

The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike (CC-BY-NC-SA) 4.0 International License.

Automated Software Testing: Model and State-based Testing

Learn the advanced software testing techniques, tools, and best practices required to deliver high-quality software.

About this course

Software testing gets a bad rap for being difficult, time-consuming, redundant, and above all – boring. But in fact, it is a proven way to ensure that your software will work flawlessly and can meet release schedules.

In a two-course series, we will teach you automated software testing in an inspiring way. We will show you that testing is not as daunting a task as you might think, and how automated testing will make you a better developer who programs excellent software.

This second course builds upon the first course’s material. It covers more advanced tools and techniques and their applications. Key topics include state-based and web testing, combinatorial testing, mutation testing, and property-based testing.

This is a highly practical course. Throughout the lessons, you will test various programs by means of different techniques. By the end, you will be able to choose the best testing strategies for different projects..

If you are or want to become a five-star software developer, QA engineer, or software tester, join this course. Testing will never be the same again!

At a glance

  • Institution: DelftX
  • Subject: Computer Science
  • Level: Advanced
  • Prerequisites:
    • Familiar with the outline of the first course
    • Practical experience with testing
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • Professional Certificate in Automated Software Testing
  • Associated skills: Software Testing, Automation, Web Testing, Test Automation, Safety Assurance

What you’ll learn

  • The key ideas behind advanced software testing techniques, such as mutation and property-based testing
  • The current state-of-the-art in software testing research, such as the usage of artificial intelligence to automate testing activities
  • The limitations of current testing techniques, and how todetermine the best testing strategies for a given context

Syllabus

Topic 1: Model-based testing and decision tables

  • Create decision tables to represent complex decisions of your software.
  • Apply different coverage criteria in the decision table to generate test cases.

Topic 2: Model-Based testing and state machines

  • Devise state machines that represent the software system (e.g., web systems) and use them to generate test cases.
  • Apply different coverage criteria to generate test cases that cover different paths of the system.

Topic 3: Self-testing

  • Understand what pre-conditions, post-conditions, and invariants are, and how to design them in your software system.
  • Use these contracts to test your software from the “inside out”
  • Write properties and let property-based testing frameworks generate test cases automatically.

Topic 4: Mutation testing

  • Understand the key ideas behind mutation testing.
  • Apply mutation testing in software systems and discover what parts of your software are not tested enough.