Whitepapers
Solving the Agile Catch 22
Trying to keep up with agile AND catch all the bugs?
If automated Continuous Integration Testing is a major goal in your agile environment, then you’re familiar with the challenge of effectiveness vs. efficiency. Automated test execution alone cannot find all the bugs. You need good test coverage, too.
Cause Effect Modeling automates test generation, accelerates regression library maintenance, and integrates with automation frameworks to make effective Continuous Integration Testing a reality.
Cause Effect Modeling Whitepaper
Using models to improve quality, shorten time-to-market, and reduce costs
This whitepaper provides a general description of a new breed of modeling technology called Cause Effect Modeling. By representing detailed functional requirements with mathematically complete models, Cause Effect Modeling represents a fundamental change in the software development “rules-of-the-game.”
Validation and Verification for Mission and Safety Critical Systems
Need algorithms to generate strong test coverage?
Safety-critical systems are a growing part of the software landscape, across a wide variety of industries including medicine, automotive, energy, aviation, and defense.
Today more than ever, systems must satisfy high reliability requirements, and critical systems must comply with an ever-growing body of regulations for test coverage and to eliminate sources of human error from development processes.
Cause-Effect Modeling automates test generation, satisfying the strictest test coverage criteria, driving process improvement, and eliminating sources of human error.
Test Management Systems
Getting the most out of your TMS with Cause Effect Modeling
Test Management Systems such as HP Quality Center, IBM Test Manager, and Microsoft Test Manager are powerful tools that deliver on the promise of a central library of reusable tests.
Unfortunately, organizations often end up with enormous test libraries because finding and maintaining old tests is often more difficult for testers than simply creating new ones. The practical realities of maintaining a test library too often get in the way of realizing the benefit of a central library.
This whitepaper explores this challenge in detail. It describes how model-based test generation solves the classic test maintenance problem. By maintaining models rather than tests, testing organizations realize all the benefits of early validation, strong test coverage, and unlock the power of their TMS.
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Integrated Quality Management