MATLAB & Simulink

POLYSPACE PRODUCT

Polyspace for C/C++ Code Verification

Course Highlights

This two-day course discusses the use of Polyspace Code Prover to prove code correctness, improve software quality metrics, and ensure product integrity. This hands-on course is intended for engineers who develop software or models targeting embedded systems. Topics include:

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• 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

Course Objectives

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The aim of the course is to provide the participants with the knowledge on using Polyscape Code Prover to do verification, diagnostic and MISRA-C Compliance checking.

Who Must Attend 

Engineers who develop software and model for embedded system target. 

Prerequisites

Strong knowledge of C or C++.

Course Outline

Day 1 of 2

Polyspace Workflow Overview

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

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-Software development workflows with Polyspace

-Simple verification example

-Analyzing defects and run-time errors

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 Bug Finder.

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- Common run-time environment artifacts

- Handling processor-specific code

- Defining the execution context

- Setting target hardware information

- Analyzing and managing Bug Finder defects

- Detecting coding rule violations

Analyzing Polyspace Code Prover Results

Objective: Become proficient at interpreting Polyspace Code Prover results.

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- Overview of abstract interpretation

- Call tree analysis

- Source code navigation

- Execution paths

- Variable ranges

- Global variable

Code Verification Checks

Objective: Find run-time erros using diagnostics available in Polyspcae Code Prover.

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-Overview of C source code checks

-Locaton of checks in source code

-Description of checks

-Relevant verification options

 Day 2 of 2

Managing Polyspace Code Prover Verifications and Results

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

- Determining verification effort
- Performing a quick review
- Performing a selective orange review
- Setting verification precision
- Prioritizing orange checks
- Reviewing orange 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
- Function stubbing
- Data range specification
- Manual stubbing

Integration Analysis

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

- Managing code modules
- Analyzing integration defects and rule violations with Bug Finder and Code Prover
- Importing comments

Measuring and Reporting Software Quality

Objective: Use Polyspace metrics to share and catalog verification results, and generate standard reports from verification results.

- Sharing results
- Using Polyspace metrics
- Testing software quality objectives
- Creating documentation

Application Analysis

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

- Setting up an application verification
- Improving the results of an application verification
- Detecting concurrency issues
- Comparing robustness and contextual verification