The expert in automation technology
Test Framework
To improve software quality and avoid discovering bugs only at the customer's site, it helps to test the code automatically.
Since creating and evaluating such tests can also be error-prone, it helps to have a certain framework in which the corresponding tests can be written and later executed, preferably automatically.
The test framework allows you to easily test your programs and functions and evaluate the results.
For ongoing quality assurance of source code, it is necessary to regularly test the individual parts of the program and monitor the results.
Automated test systems take a lot of work off developers, as they can immediately test the changed parts of the code in parallel.
The following questions often arise:
How good is my test?
Do I reach all parts of the code?
Do I reach the modified part?
The library and the extension for measuring test coverage provide answers to these questions.
"Only trust tests you know actually cover the test area."
Clean Code Developer
- The simple and fast solution for determining and graphically evaluating test coverage
in IEC61131-3 Structured Text / ST / SCL
To find out which code areas are not covered by tests, code coverage analysis is used.
After the test run is completed, the result can be automatically graphically evaluated on the build server.
Overview of executed test cases
JUnit tabular evaluation
Tabular overview of all test cases
successfully executed
skipped
faulty
not present
duration
JUnit time evaluation
Temporal progression of executed test cases
successfully executed
skipped
faulty
duration
Code coverage evaluation
Cobertura evaluation marked in code
Determination and display of test coverage
The following information is revealed:
Instruction executed (green)
Instruction skipped (red)
How often was the instruction executed
Calculation of coverage in %
Blocks
Methods
Instructions
Advantages
-
for your own development department
quickly provides a picture of test quality.
immediately shows where gaps still exist.
-
for customers validating updates
has the changed part been executed?
has the "old" code been affected? (Regression test)
By combining version control, test case documentation, and the results from the test run, a variety of insights can be gained, significantly increasing the stability of the program.
Features
open source -> DOWNLOADS
Easy configuration via XML format
Application generator
Start an automatic build
Upload to target system and start
Dynamic and static test automation
- Execute a static test project
- Execute a generated test project
Evaluation JUnit.xml
Analysis SccX-Structured Code Coverage eXtension
Evaluation code coverage Cobertura XML format
Line and branch coverage
Available for Beckhoff and Sigmatek
Roadmap
Implementation B&R Automation Studio
Implementation Bachmann PLC-Developer
Implementation Codesys V3
By combining version control, test case documentation, and the results from the test run, a variety of insights can be gained, significantly increasing the stability of the program.
