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Parasoft Resources Center: Coverage Analysis

Agile Quality Practices that Save Time

This 12-page eBook aggregates 10 tips for ensuring that each new feature is truly "done"...and defects don't derail your Agile project. read more >>

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, cove... read more >>

Integrated Error-Detection Techniques Find More Bugs in Embedded C Software

Demonstrates how to automate and synchronize error-detection techniques—including static code analysis, data flow analysis, unit testing, and runtime error... read more >>

Jtest: Java Static Analysis, Code Review, Unit Testing, Security , May 2012 - 225 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.

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Data Sheet
Integrated Error-Detection Techniques Find More Bugs in Embedded C Software , Parasoft White Paper, May 2012

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.

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White Paper
Integrating Error-Detection Techniques to Find More Bugs in Embedded C Software , Embedded Computing Design, November 2011

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.

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Article
dotTEST: .NET Static Analysis, Code Review, Unit Testing, Security , September 2011 - 286 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.

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Data Sheet
Code Coverage Awareness , September 2011

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

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Blog
C/C++test: C/C++ Static Analysis, Code Review, Unit Testing, Security , September 2011 - 883 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.

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Data Sheet
Code Coverage Density and Test Overlap , September 2011

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.

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Blog
Towards Full Regression Test Coverage , September 2011

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

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Blog
The Problem with Path Code Coverage , August 2011

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

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Blog
Test Code Coverage Metrics , August 2011

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

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Blog
Code Coverage Granularity , August 2011

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

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Blog
Dispelling Common Code Coverage Myths and Dodging Pitfalls , August 2011

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.

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Blog
Coverage Analysis , July 2011

Introduces Parasoft's coverage analysis capabilities (test coverage for unit testing, integration testing, system testing).

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Web Page
dotTEST: .NET Testing and Analysis , May 2011

Introduces how dotTEST simplifies static analysis, code review, unit testing for languages that target the Microsoft .NET Framework and .NET Compact Framework, including C#, VB.NET, and MC++ (Managed C++).

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Web Page
C/C++test: C/C++ Testing and Analysis , May 2011

Introduces how C/C++test simplifies static analysis, code review, unit testing, and runtime error detection for embedded and enterprise development.

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Web Page
Jtest: Java Testing and Analysis , May 2011

Introduces how Parasoft Jtest simplifies Java static analysis, code review, unit testing, and runtime error detection.

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Web Page
Unit Testing: Is More Coverage Better? , April 2011

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

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Blog
Introduction to Parasoft C/C++test , April 2011

This webinar introduces Parasoft C/C++test, a broadly-featured language tool for testing C and C++ applications.

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Video
Unit Testing Starter Kit , March 2011

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.

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Guide/Kit
Understand and Optimize Code Coverage eBook , December 2010

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.

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White Paper
Integrated Error-Detection Techniques Find More Bugs in .NET Applications , Parasoft White Paper, October 2010

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.

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White Paper
Wipro Case Study , September 2010 - 575 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%.

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Case Study
Trane Case Study , February 2010 - 86 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.

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Case Study
Integrated Error-Detection Techniques Find More Bugs in Java Applications , Parasoft White Paper, October 2009

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.

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White Paper
Unit Testing Best Practices , July 2009

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

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White Paper
Intermoco Case Study , September 2008 - 721 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.

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Case Study
Cover Yourself in Java , Software Test & Performance, June 2008

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

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Article
Enventive Case Study , January 2006 - 665 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.

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Case Study
 
 
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