Cause-effect graphing technique: A survey of available approaches and algorithms
Cause-effect graphs are often used as a method for deriving test case suites for black-box
testing different types of systems. This paper represents a survey focusing entirely on the …
testing different types of systems. This paper represents a survey focusing entirely on the …
Structural matching of bpel processes
BPEL has emerged as the industrial standard language for modelling behavioral aspects of
web services. To support business partners in dynamically and flexibly binding their services …
web services. To support business partners in dynamically and flexibly binding their services …
Forward-propagation approach for generating feasible and minimum test case suites from cause-effect graph specifications
Cause-effect graphs are a popular black-box testing technique. The most commonly used
approach for generating test cases from cause-effect graph specifications uses backward …
approach for generating test cases from cause-effect graph specifications uses backward …
Test input generation from cause–effect graphs
Cause–effect graphing is a well-known requirement-based and systematic testing method
with a heuristic approach. Since it was introduced by Myers in 1979, there have not been …
with a heuristic approach. Since it was introduced by Myers in 1979, there have not been …
New graphical software tool for creating cause-effect graph specifications
Sažetak Cause-effect graphing is a commonly used black-box technique with many
applications in practice. It is important to be able to create accurate cause-effect graph …
applications in practice. It is important to be able to create accurate cause-effect graph …
Automatic extraction of cause-effect-relations from requirements artifacts
Background: The detection and extraction of causality from natural language sentences
have shown great potential in various fields of application. The field of requirements …
have shown great potential in various fields of application. The field of requirements …
Operator knowledge inclusion in data-mining approaches for product quality assurance using cause-effect graphs
Product quality is one of the crucial factors influencing customer satisfaction and loyalty, and
of course, a company's reputation in general. A high quantity of non-conforming products …
of course, a company's reputation in general. A high quantity of non-conforming products …
CEGSet: Collection of standardized cause-effect graph specifications
Cause-effect graphs are a commonly used black-box testing method, and many different
algorithms for converting system requirements to cause-effect graph specifications and …
algorithms for converting system requirements to cause-effect graph specifications and …
Mutation-based minimal test suite generation for Boolean expressions
Boolean expressions are highly involved in control flows of programs and software
specifications. Coverage criteria for Boolean expressions aim at producing minimal test …
specifications. Coverage criteria for Boolean expressions aim at producing minimal test …
Automatic generation of test suites from decision table-theory and implementation
M Sharma - 2010 Fifth International Conference on Software …, 2010 - ieeexplore.ieee.org
Several methods for automatic test case generation have been proposed in the past. But
most of these techniques are structural testing techniques that require the understanding of …
most of these techniques are structural testing techniques that require the understanding of …