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Download Domain-Specific Model-Driven Testing by Stefan Bärisch PDF

Posted On April 11, 2017 at 6:50 am by / Comments Off on Download Domain-Specific Model-Driven Testing by Stefan Bärisch PDF

By Stefan Bärisch

Software program reuse and software program caliber are more and more very important issues in modern-day software program engineering either for researchers and for practitioners. The layout and implementation of assessments is principally hard whilst exams are conceptualized for various variations and models of an software. Stefan Baerisch applies a mixture of function modeling and code new release, for which he makes use of a model-driven process, as a way to facilitate the layout of checks through non-programmers. hence, the reuse of checks, represented via summary try types, for various structures less than exams is made attainable. The procedure makes use of code iteration to permit try out execution on heterogeneous and altering implementations. this mixture of modeling and code new release makes it possible for a extra built-in and extra effective checking out strategy.

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As a consequence, neither the existence of core assets nor a formal representation of the variability of the product-line can be assumed. Since reuse of existing assets is not possible, the identification and capture of variability in the context of MTCC is done for the first time and only for the purpose of testing. We argue that while the reuse of product line assets for testing would be desirable, the use of models dedicated to testing simplifies the modeling process, thus the construction of the MTCC test models is far less costly than the creation of models for software construction.

3, precision falls with increasing recall, the first results returned by the system are therefore the most likely to be relevant by the judgement of the system. For a number of situations, for instance, when it is likely that a user will only inspect a limited number of documents, regardless of their relevance, the precision value after the first k documents is better suited to evaluate an IR system than precision at a specific recall level. Precision at k and R-Precision are measures applicable for such situations.

While Software Product Lines are based on the systematic reuse and adaption of a common set of Core Assets, system families are generally not the product of systematic reuse. MTCC addresses the testing of system families and therefore does not assume the existence of common infrastructure or artifacts. A central aspect in working with system families and product lines is the systematic treatment and representation of the variability. Feature models are a means to represent the features that exist in a system family and their relationships.

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