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e!COCKPIT Profiler

e!COCKPIT Profiler; Tek Lisans


The e!COCKPIT Profiler add-on allows programmers and application developers to measure and evaluate the processing times and code coverage of the different blocks in an IEC 61131-3 application at an early stage. This add-on can be seamlessly integrated into the e!COCKPIT Engineering Software and measurement may be performed parallel to the application development in the standard development environment.

Advantages:

• Measure both machine code’s runtime behavior and code coverage right at the beginning of the development phase
• Detect runtime problems at an early stage
• Identify both time-consuming program parts and unused programming blocks
• Overall and individual measurement of all application blocks
• Identify the code efficiency by comparing historical and actual measurements
• Increase the software quality

Main functions:

• Implicit binary code extension during translation, without changing the program code of a project
• Dynamic measurement via code instrumentation at each function entry and exit
• Only during measurement: temporary code enlargement and runtime extension of 10 to 50%
• Measurement start by a variable or by command
• Overview of the measurement results in the development environment

Functions:

• Control the runtime measurement via freely selectable Boolean variable
• Measure the runtime of individual programming blocks and function block instances within the “profiler watch list”
• Measure the percentage of missed instructions per block via code coverage
• Measurement results show the time-critical path

Setting options:

• Select the task to be measured
• Select the unit base (tick, milliseconds or microseconds)
• Define the memory size required for the measurement
• Adjust the measurement behavior (next or maximum cycle)
• Select the calls to be measured in the monitoring list
• Select the program blocks to be measured to determine the code coverage

The results in detail:

• Percentage of time spent in the call
• Total time spent in call
• Average time of all POU calls in a single cycle
• Minimum and maximum processing time over multiple cycles
• Number of calls
• Time spent for each call
• Standard deviation of average measured time
• Percentage of the iterated code

Display the results as:

• Summary table
• Call tree (time- or process-oriented)
• Tables
• Watch list

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