Model-based testing is the application of ‘model-based design’ in engineering executable tests for software quality analysis. Model-based testing involves an application of complex mathematical and visual tools that generates an archetype of the software under test and its requisite behaviour. This creates an executable yardstick that can ‘communicate’ directly with the system under test via abstract and concrete test cases to map specific errors.
Model-based testing can be deployed through three modes – online testing, offline generation of executable tests and offline generation of manually deployable tests. The primary advantage of model-based testing lies in unprecedented automation leading to increased effectiveness.
Model Based Testing and Behavior-Driven Development
White Paper By: CA Technologies
Behavior-Driven Development (BDD) seeks to foster collaboration between the business and IT, inspired by the notion of a ‘ubiquitous language’, taken over from Domain Driven Development. As modern organizations rely increasingly on software that can provide value to its customers, IT teams are required to deliver fully tested software that delivers on changing business needs,...
Continuous Testing for Continuous Delivery: What Does it Mean in Practice?
White Paper By: CA Technologies
Today continuous delivery is enabling modern organizations to become leaders in fast-emerging, technology-driven markets To deliver software that accurately reflects constantly changing user needs, more organizations are moving toward continuous delivery. Continuous testing helps ensure that quality is built in from the requirements, while validating each component at the development...
Power Supply Testing: 400 Hz Operation
White Paper By: Crystal Group
All of the power supplies tested passed the thermal, stress test, and low/high voltage operation criteria at 440 Hz. However, there is one very important parameter that must be considered in deeming a power supply appropriate for operation in a 400 Hz environment. This parameter is known as power factor, commonly abbreviated as PF. The higher the PF (desired), the lower the reactance and the...
A.I. for Risk Based Testing and Production Driven Test Coverage
White Paper By: QualiTest Group
Analyzing large amounts of production data by actual users is a very good risk-based approach to testing highly complex systems based on what users actually do instead of all of the theoretical permutations of what a system may need to support. Is software testing capable of employing A.I. approaches, or will human software testers soon be bested by computers as well? This white paper...
Creating Tests with AscentialTest
White Paper By: Zeenyx Software
Earlier creating a test was as easy as navigating through the application under test (AUT), but testing groups quickly discovered that the tests were of no use once the target application changed. Organizations can significantly reduce the duration of testing cycles by adopting the step-based approach to build manual and automated tests. This whitepaper provides insights on how...
Testing Legacy Application Modernization
White Paper By: Zeenyx Software
When a legacy application is modernized, transaction flow may be changed to adjust to the standards and capabilities of the new platform. If tests are automated using a traditional testing tool, those user interface changes would require a significant amount of test maintenance to get tests running on the new platform. AscentialTest provides a short-cut by allowing users to develop...
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