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From design models to test models by means of test ideas

Proceedings of the 6th International Workshop on Model-Driven Engineering, Verification and Validation, 2009
Model-Based Testing is slowly becoming the next level of software testing. It promises higher quality, better coverage and efficient change management. MBT shows two main problems of modeling the test behavior. While modeling test cases test designers rewrite most of the system specification.
Michael Mlynarski   +3 more
openaire   +2 more sources

Model-Based Testing

2014
Software more and more pervades our everyday lives. Hence, we have high requirements towards the trustworthiness of the software. Software testing greatly contributes to the quality assurance of modern software systems. However, as today's software system get more and more complex and exist in many different variants, we need rigorous and systematic ...
Malte Lochau   +3 more
openaire   +2 more sources

Model-Based Testing

IEEE Software, 2012
Model-based testing (MBT) strives to automatically and systematically generate test cases. In this column, Ina Schieferdecker introduces MBT technologies and methods.
openaire   +1 more source

Frailty Models and Rank Tests

Lifetime Data Analysis, 1998
Connections are established between the theories of weighted logrank tests and of frailty models. These connections arise because omission of a balanced covariate from a proportional hazards model generally leads to a model with non-proportional hazards, for which the simple logrank test is no longer optimal.
Oakes, David, Jeong, Jong-Hyeon
openaire   +2 more sources

Model-Based Testing and Model Inference

2012
Model-based software testing is well established, and can be traced back to Moore's "Gedanken experiments" on finite state machines from 1956 [10]. The best known approaches involve the use of models (such as UML interaction diagrams or state machines) as the basis for selecting test inputs that seek to explore the core functionality of the system ...
Karl Meinke, Neil Walkinshaw
openaire   +2 more sources

Model Learning and Model-Based Testing

2018
We present a survey of the recent research efforts in integrating model learning with model-based testing. We distinguished two strands of work in this domain, namely test-based learning (also called test-based modeling) and learning-based testing. We classify the results in terms of their underlying models, their test purpose and techniques, and their
Bernhard K. Aichernig   +4 more
openaire   +2 more sources

Model‐based testing

Software Testing, Verification and Reliability, 2023
Yves Le Traon, Tao Xie 0001
openaire   +1 more source

Broadening the Tests of Learning Models

Journal of Mathematical Psychology, 1998
For many years psychological studies of the learning process have used a simulated medical diagnosis task in which symptom configurations are probabilistically related to diseases. Participants are given a set of symptoms and asked to indicate which disease is present, and feedback is given on each trial. We enrich this standard laboratory task in four
Kitzis, Stephen N.   +4 more
openaire   +2 more sources

Test of a Stock Valuation Model

The Journal of Finance, 1970
A MODEL DESIGNED to explain price differences among common stocks must build upon the working rules of professional investors and the theories of academic analysts and cannot avoid a troublesome dependence on expectations. Our stock valuation model is no exception.
Bower, Dorothy H, Bower, Richard S
openaire   +1 more source

Test of Models of Achromatic Transparency

Perception, 2006
Consider an achromatic disk transparent on an achromatic background formed by two adjoining rectangles, with the common border of the rectangles dividing the disk in half. Current models of achromatic transparency contend that the perceived extent of transparency of the disk depends on the luminance contrast inside the disk and on the luminance ...
openaire   +3 more sources

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