Parasoft: Leader in Service Virtualization

Download voke Research's Market Mover Array Report to learn why Parasoft was named the Lifecycle Virtualization leader.

Parasoft: Leader in Test Automation

Learn why Parasoft received the highest score for API testing and test automation in “The Forrester WAVE: Modern Application Functional Test Auto...

Continuous Testing

Learn how Continuous Testing provides a real-time, objective assessment of the business risks associated with an application under development.
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Parasoft Resource Center

Release = Merged, Correlated Coverage

This on demand webinar explores methods and metrics to more rapidly assess the risk of a software release candidate, including the value of Merged, Correlated Coverage and how to implement and leverage this metric as a critical step toward assessing risk and prioritizing testing activities.

Merged, Correlated Coverage: Using Application Coverage to Release Faster

by Mark Lambert (VP of Product Management and Support), Wayne Ariola (Chief Strategy Officer), Adam Trujillo (Technical Writer)

Describes the challenges that development teams face and how application coverage is the driving force for helping teams meet their release objectives.

PIE Attracts Bugs (in your code)

How can you transform the data collected from numerous SDLC practices and systems into insightful, actionable information? It’s as easy as PIE! Discover how Parasoft PIE automatically identifies business risks while highlighting opportunities for process improvement.

What’s New with Parasoft Development Testing Platform?

Parasoft Development Testing Platform integrates Parasoft, open-source as well as third party tools to consistently apply software quality practices throughout the SDLC. Discover the latest UI enhancements, next generation of unit testing & code coverage engines, and improvements with our Process Intelligence Engine (PIE).

Parasoft dotTEST

Parasoft dotTEST, our development testing solution for .NET languages, is an integrated Development Testing solution for automating a broad range of best practices proven to improve software development team productivity and software quality.

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.

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.

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.

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.

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.

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 (Cynthia Dunlop), 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

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

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

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 unit testing starter kit for C and C++ includes a Q & A with Parasoft founder Adam Kolawa, unit testing case studies, and data sheets for unit testing tools.

Unit Testing Best Practices

by Adam Kolawa (CEO and co-founder), Wayne Ariola (Chief Strategy Officer), Cynthia Dunlop (Lead Technical Writer)

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

Understand and Optimize Code Coverage

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 Development Testing Case Study

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 Static Analysis & Unit Testing Case Study

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 for Finding 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.

Enventive Unit Testing and Static Analysis Case Study

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.

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