There is one session available:
There is one session available:
Automated Software Testing: Unit Testing, Coverage Criteria and Design for Testability
About this courseSkip 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
Introductory knowledge of programming, specifically with Java.
- Language: English
- Video Transcript: English
- Associated programs:
- Professional Certificate in Automated Software Testing
- Associated skills: Test Automation, System Testing, Software Quality (SQA/SQC), Boundary Testing, Software Testing, Safety Assurance, Automation, Code Coverage, Testability, Unit Testing
What you'll learnSkip 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
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.
About the instructors
More about this courseSkip More about this course
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.