MATLAB and Simulink Training

Polyspace for C/C++ Code Verification

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Course Details

This two-day, hands-on course discusses the use of Polyspace Bug Finder™ and Polyspace Code Prover™ to prove code correctness, improve software quality metrics, and ensure product integrity. The course is intended for engineers who develop software or models targeting embedded systems. 
 
Topics include:
 
  • Creating a verification project
  • Reviewing and understanding verification results
  • Emulating target execution environments
  • Handling missing functions and data
  • Managing unproven code (color-coded in orange by Polyspace® products)
  • Applying MISRA C® rules
  • Reporting analysis results

Day 1 of 3


Polyspace Workflow Overview

Objective: Become familiar with Polyspace Bug Finder and Polyspace Code Prover and work through an introductory example.

  • Code verification workflows
  • Running a Bug Finder analysis
  • Running a Code Prover verification
  • Analyzing and fixing software problems

Polyspace Bug Finder Analysis

Objective: Analyze code that may not be ANSI C compliant and account for the run-time environment, and correct defects and coding rule violations using Polyspace Bug Finder.

  • Creating a Polyspace project
  • Common run-time environment artifacts
  • Handling processor-specific code
  • Setting target hardware information
  • Analyzing defects in Polyspace Bug Finder
  • Analyzing MISRA C rule violations
  • Measuring code metrics
  • Template projects

Analyzing Polyspace Code Prover Results

Objective: Become proficient at interpreting Polyspace Code Prover results.

  • Overview of abstract interpretation
  • Analyzing the call tree
  • Navigating through source code
  • Interpreting Polyspace Code Prover results
  • Viewing global variable usage in source code

Code Verification Checks

Objective: Find run-time errors using diagnostics available in Polyspace Code Prover.

  • Overview of C source code checks
  • Polyspace Code Prover run-time error checks
  • Relevant verification options

Day 2 of 3


Managing Polyspace Code Prover Verifications and Results

Objective: Handle verification results that contain large amounts of unproven checks.

  • Code Prover verification workflows
  • Controlling program execution sequence
  • Prioritizing orange run-time error checks

Adding Precision to Polyspace Code Prover Verifications

Objective: Learn how Polyspace Code Prover treats missing code during verification, and how to affect this behavior to produce more meaningful verifications.

  • Robustness verification and contextual verification
  • Automatic stubbing
  • Data range specification
  • Manual stubbing

Integration Analysis with Polyspace Access

Objective: Learn how to manage verification results with increasing code complexity using Polyspace Access™, and how to interpret and compare integrated analysis with robust analysis.

  • Post-submit workflows with Polyspace Access
  • Contextual verification
  • Detecting integration defects and run-time errors

Application Analysis

Objective: Review procedures and options that are useful when verifying complete applications.

  • Application software concerns
  • Analyzing concurrent data access issues
  • Replacing assembly or hardware functions
  • Handling third-party code in Polyspace
  • Creating documentation

Day 3 of 3 (optional, available with private training only)


Hands-On Instruction (Optional)

Objective: Spend time reviewing what you have learned and applying Polyspace directly to your own project. Potential topics include:

  • Polyspace Bug Finder checks
  • C++ code verification
  • Tasking and shared data analysis
  • Generated code verification
  • Development process review
  • Workflow integration
  • Client/server software installation
  • Polyspace configuration for project code
  • Results interpretation

Appendix F: Integration Analysis with Polyspace Desktop

Objective: Learn how to manage verifications with increasing code complexity, and how to interpret and compare integrated analysis with robust analysis.

  • Contextual verification
  • Creating new modules
  • Detecting integration defects and run-time errors

Level: Intermediate

Prerequisites:

  • Strong knowledge of C or C++

Duration: 2 days

Languages: English, 日本語, 한국어, 中文

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