Three key structure-based testing techniques

Name: Three key structure-based testing techniques
Rating: 5.0 (3 reviews)

Learn about 3 key white-box testing techniques for JavaScript or Python

Created byMartins Gills

Last updated 10/2023

English

What you'll learn

Will improve their software testing skills
Will learn in detail how to achieve for the source code the statement, branching and branch condition coverage
Improve the testing of their Python code
Improve the testing of their JavaScript code
Be able to apply the structure-based test techniques at high level algorithms

Course content

6 sections • 28 lectures • 2h 44m total length

Welcome to 3 structure-based testing techniques1:39

The basis for the structure-based test techniques1:08
Explore how structure-based software testing translates code into graphical diagrams to design test cases, including statement testing, branch decision testing, and branch condition testing, with JavaScript and Python examples.
Representing the control flow of a software6:28
Representing the conditional statements7:41
Conditional and ordinary statements
Representing loops6:07
About the loops
Control flow of high-level algorithms6:41
Explore transforming algorithm descriptions into graphical workflows by identifying if-then conditions, else branches, and loops, as the first of three structure-based testing techniques, leading to statement testing.
Text to control flow

Introduction to statement testing0:46
Key principles5:34
Apply statement testing to cover every line of code, using one test for linear blocks. For if-then conditions, a single true-path test may suffice to execute all statements.
Decisions and statement coverage
Other decisions6:58
Demonstrates statement coverage through testing both true and false branches in if-then-else decisions, and shows loop testing with practical test cases.
More decisions
Sequential and nested decisions17:46
Multiple decisions and the statement coverage
Special cases with the conditions9:23
Summarizing the statement testing5:25
On statement coverage

Introduction to branch/decision testing1:06
Key principles of branch/decision testing6:16
Quiz on branch/decision principles
More conditional statements6:38
Quiz on conditional statements and the branch conditions
Multiple decisions5:36
Analyze sequential and nested if-then decisions and learn minimal test coverage for independent conditionals using a golden status example based on purchases over 2000 and service over 24 months.
Nested decisions14:17
Quiz on multiple and nested decisions and the branch coverage
Unreachable branches5:31
Summarizing the branch/decision testing6:04
On the branch/condition testing

Introduction to branch conditions1:12
Key principles of branch conditions4:56
On key principles of branch conditions
Combinations from two bool operands8:00
Explore how two boolean operands combine with and, or, not, and xor to form complex conditions, and see how parentheses affect evaluation of the expressions and truth values.
On expressions with two bool operands
Goals of branch condition testing4:33
On goals of branch condition testing
Testing the combinations5:49
On Branch condition combination testing
Modified combinations of conditions5:17
Comparing the coverage of the test techniques7:05
Compare structure-based testing techniques by analyzing branch condition testing, modified branch condition testing, and branch condition combination testing, and evaluate their coverage metrics and test case demands.
On coverage of the branching condition testing techniques

Requirements

Basic programming skills Javascript or Python
Foundations of the software testing
Basic understanding of the goals of the structural testing

Description

This course will help you to improve your expertise in three most common software testing techniques applied at the code level. The course will also help you to prepare for ISTQB exams. It actually focuses on a specific part from the syllabus. The most important value from the course is the practical one. This serves as useful addition to the traditional ISTQB-related training.

It might be a bit difficult for the absolute beginners in the software testing area, but it can improve the competence of existing testers / QAs or developers creating tests for their code.

So often one can see the automated tests (e.g. unit tests, API tests) or manual tests are either not using distinct techniques or not applying the techniques properly thus losing the quality of the tests, not reaching the desired level of test coverage. This course will fill the gap – you will be confident about the main structure-based testing techniques, the rationale behind each test case. Understanding the testing methods also helps you in test planning – the number of tests required, to estimate the resources etc.

The techniques help both developers and QAs/testers. The principles can be applied both to software code and to higher level algorithms (e.g. in requirements specification or in the technical design documentation).

Every technique in this course is explained in detail. For each technique several examples are given, as author believes that this is one of the best ways of learning. After the course, start applying the structure-based test techniques!

The knowledge here is applicable in a tool-neutral manner. At the same time, most of examples are shown as Python code, some – as JavaScipt.

Who this course is for:

Software testers
Programmers
Software developers
QA
System analysts

Three key structure-based testing techniques

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 2min

Control flow5 lectures • 28min

Statement testing6 lectures • 46min

Branch or decision testing7 lectures • 45min

4. Testing of branch conditions7 lectures • 37min

5. Summary2 lectures • 6min

Requirements

Description

Who this course is for: