Parasoft Resources Center: Coverage Analysis

Parasoft TV - Integrated Error Detection Techniques for Java

Demonstrates how to automate and synchronize error-detection techniques—including static code analysis, data flow analysis, unit testing, and runtime error detection—to more effectively find defects in Java applications.

Parasoft TV - Multiple Error Detection Techniques for Embedded Software Development

Demonstrates how to automate and synchronize error-detection techniques—including static code analysis, data flow analysis, unit testing, and runtime error detection—to more effectively find defects in embedded C applications.

Parasoft TV - Parasoft C/C++test for Embedded Development

Demonstrates how Parasoft C/C++test enables teams to produce better code for embedded systems, test it more efficiently, and monitor progress towards their quality goals.

Parasoft TV - Introduction to Parasoft C/C++test

Introduces how Parasoft C/C++test automates comprehensive development testing for C and C++, including static analysis, unit testing, code review, runtime error detection, and more.

Integrated Error-Detection Techniques Find More Bugs in Embedded C Software , Parasoft White Paper  by Marek Kucharski (President Parasoft SA, VP of Dev), Cynthia Dunlop (Lead Technical Writer)

Demonstrates how to automate and synchronize error-detection techniques—including static code analysis, data flow analysis, unit testing, and runtime error detection—to more effectively find defects in embedded C applications.

Coverage Analysis Starter Kit

Read our 20 page Code Coverage Guide to learn how to avoid common pitfalls and mistakes regarding code coverage.

Integrating Error-Detection Techniques to Find More Bugs in Embedded C Software , Embedded Computing Design  by Marek Kucharski (President Parasoft SA, VP of Dev), Miroslaw Zielinski (C++test Development Mgr), Cynthia Dunlop (Lead Technical Writer)

Demonstrates how automated techniques such as pattern-based static code analysis, runtime memory monitoring, unit testing, and flow analysis can be used together to find bugs in a sample embedded C application.

Code Coverage Awareness   by Mirko Raner (Systems Engineer), Cynthia Dunlop (Lead Technical Writer)

Introduces steps for improving code coverage awareness: tools for measuring coverage; understanding the type of coverage provided; identifying and covering uncovered cases.

Code Coverage Density and Test Overlap   by Mirko Raner (Systems Engineer), Cynthia Dunlop (Lead Technical Writer)

Explains why test overlap is generally undesirable, introduces test overlap and the imperfection of coverage models, and explores how to achieve properly distributed test density.

Towards Full Regression Test Coverage   by Mirko Raner (Systems Engineer), Cynthia Dunlop (Lead Technical Writer)

Explains how to achieve full regression coverage (complete entry/exit coverage) and why complete path coverage is not sufficient.

The Problem with Path Code Coverage   by Mirko Raner (Systems Engineer), Cynthia Dunlop (Lead Technical Writer)

Discusses why so few available code coverage analysis tools support path coverage: high number of paths, difficulty identifying and covering paths, representation challenges.

Jtest: Java Static Analysis, Code Review, Unit Testing, Security - 998 KB PDF

This data sheet introduces Parasoft Jtest , an integrated Java testing toolkit for static code analysis, code review, automated unit and component testing, coverage analysis, runtime error detection, and regression testing.

C/C++test: C/C++ Static Analysis, Code Review, Unit Testing, Security - 1,108 KB PDF

This data sheet introduces Parasoft C/C++test, an integrated C and C++ testing toolkit for static code analysis, code review, automated unit and component testing, coverage analysis, runtime error detection, and regression testing.

Test Code Coverage Metrics   by Mirko Raner (Systems Engineer), Cynthia Dunlop (Lead Technical Writer)

Explores code coverage metrics including statement coverage (block coverage), branch coverage, and path coverage.

Code Coverage Granularity   by Mirko Raner (Systems Engineer), Cynthia Dunlop (Lead Technical Writer)

Explains what coverage granularity means, why line-based coverage is meaningless yet popular, and granularity levels for test coverage (line, statements/expression, bytecode instruction).

Dispelling Common Code Coverage Myths and Dodging Pitfalls   by Mirko Raner (Systems Engineer), Cynthia Dunlop (Lead Technical Writer)

Introduces common pitfalls and misconceptions regarding code coverage granularity, coverage criteria, coverage density, and test overlap, then it explains what you need to know to choose the best coverage metric for your goals.

Unit Testing: Is More Coverage Better?   by Adam Kolawa (CEO and co-founder), Cynthia Dunlop (Lead Technical Writer)

Argues that greater unit testing code coverage is not always better. Also discusses what you can learn by reviewing unit test code coverage.

dotTEST: .NET Static Analysis, Code Review, Unit Testing, Security - 1,086 KB PDF

This data sheet introduces Parasoft dotTEST, an integrated .NET language testing toolkit for static code analysis, code review, automated unit and component testing, coverage analysis, and regression testing.

Unit Testing Starter Kit

This 20-page eKit provides practical tips on how adopt unit testing without all the traditional hassles—so you can obtain real value from unit testing.

Understand and Optimize Code Coverage eBook

This 20-page Code Coverage Guide introduces common pitfalls and misconceptions regarding code coverage granularity, coverage criteria, coverage density, and test overlap, then it explains what you need to know to choose the best coverage metric for your goals.

Integrated Error-Detection Techniques Find More Bugs in .NET Applications , Parasoft White Paper

Demonstrates how to automate and synchronize error-detection techniques—including static code analysis, data flow analysis, and unit testing—to more effectively find defects in .NET applications.

Wipro Case Study - 625 KB PDF

To remain competitive, Wipro needed a more efficient and cost-effective way to maintain the exceptional quality standards that they pride themselves on. Find out how an automated testing infrastructure helped them achieve their quality objectives while reducing testing time and effort by 25%.

Trane Case Study - 549 KB PDF

Trane decided to migrate their legacy systems to C++ and .NET to enable more rapid and agile responses to business demands. Discover how Parasoft reduced the learning curve, helped them ensure code met uniform expectations around reliability, performance, and maintainability, and helped them achieve nearly 100% coverage on unit tests.

Integrated Error-Detection Techniques Find More Bugs in Java Applications , Parasoft White Paper

Demonstrates how to automate and synchronize error-detection techniques—including static code analysis, data flow analysis, unit testing, and runtime error detection—to more effectively find defects in Java applications.

Unit Testing Best Practices

Explains how unit testing can help your team rapidly modify code with confidence—and how to get started as painlessly as possible.

Intermoco Case Study - 1,244 KB PDF

Intermoco's engineering organization is responsible for both the "server side" (or database) activities associated with its network operations center as well as "embedded" solutions associated with metering and communication units in the field. Learn how Parasoft helped them double testing coverage, reducing the risk of inaccurate reporting and unit failures in the field.

Cover Yourself in Java , Software Test & Performance

Explains the basic notions of Java test coverage and discusses some of the common pitfalls and misconceptions.

Enventive Case Study - 554 KB PDF

Most of Enventive's products must comply with a design for Six Sigma development process and meet a five nines (99.999%) reliability standard. Discover how Parasoft helped them move towards their goal of 100% crash-free code—and also implemented best practices that enable them to spend more time creating new capabilities.