Behavior-oriented Adaptation in Testing (BAiT) is a toolset, which supports test generation and execution for deterministic and nondeterministic systems with data. It covers the generation of test cases from a (formal) system specification and test purposes, the identification and selection of test data during test execution and, where necessary and possible, the dynamic adaptation of a test run to the reactions of the implementation under test. The test generation part of the toolset is based on the tool Test Generation with Verification Techniques (TGV) from the Caesar/Aldébaran Development Package (CAD
The testing of a state-based system may involve the application of a number of adaptive test cases. ...
textabstractConformance testing is a widely used approach to validate a system correct w.r.t. its sp...
bstract class, which provides the protocol for executing and evaluating a message to the class under...
Behavior-oriented Adaptation in Testing (BAiT) is a toolset, which supports test generation and exec...
<p>Test cases generation based on improved adaptive genetic algorithm (IAGA).</p
Adaptive testing is a generic term for a number of techniques which aim at improving the test qualit...
Testing is one of the mainstream program verification techniques where a program is executed on a se...
Dynamically Adaptive Systems modify their behavior and structure in response to changes in their sur...
Random testing (RT) is a basic software testing method. When used to detect software failures, RT us...
Evolutionary testing (ET) is a test case generation technique based upon the application of an evolu...
Negative testing deals with an important problem of assessing a system ability to handle unexpected ...
Adaptive random testing (ART) describes a family of algorithms for generating random test cases that...
Evolutionary testing is an optimisation-based test-case generation technique. It can be applied to t...
Random testing (RT) is a basic software testing method. When used to detect software failures, RT us...
In this paper, we present several complementary computational intelligence techniques that we explor...
The testing of a state-based system may involve the application of a number of adaptive test cases. ...
textabstractConformance testing is a widely used approach to validate a system correct w.r.t. its sp...
bstract class, which provides the protocol for executing and evaluating a message to the class under...
Behavior-oriented Adaptation in Testing (BAiT) is a toolset, which supports test generation and exec...
<p>Test cases generation based on improved adaptive genetic algorithm (IAGA).</p
Adaptive testing is a generic term for a number of techniques which aim at improving the test qualit...
Testing is one of the mainstream program verification techniques where a program is executed on a se...
Dynamically Adaptive Systems modify their behavior and structure in response to changes in their sur...
Random testing (RT) is a basic software testing method. When used to detect software failures, RT us...
Evolutionary testing (ET) is a test case generation technique based upon the application of an evolu...
Negative testing deals with an important problem of assessing a system ability to handle unexpected ...
Adaptive random testing (ART) describes a family of algorithms for generating random test cases that...
Evolutionary testing is an optimisation-based test-case generation technique. It can be applied to t...
Random testing (RT) is a basic software testing method. When used to detect software failures, RT us...
In this paper, we present several complementary computational intelligence techniques that we explor...
The testing of a state-based system may involve the application of a number of adaptive test cases. ...
textabstractConformance testing is a widely used approach to validate a system correct w.r.t. its sp...
bstract class, which provides the protocol for executing and evaluating a message to the class under...