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Lecture Notes in Computer Science 3472

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Part VI<br />

Beyond Test<strong>in</strong>g<br />

This last part of the book <strong>in</strong>troduces two extensions of the typical test<strong>in</strong>g approach.<br />

It describes methods for the cont<strong>in</strong>uous test<strong>in</strong>g effort, also at a later<br />

run-time of the system. Furthermore, it recalls essentials of model check<strong>in</strong>g, a<br />

different powerful technique to get “better” systems, on the one hand to separate<br />

model check<strong>in</strong>g and test<strong>in</strong>g, on the other hand, to show possible comb<strong>in</strong>ations<br />

lead<strong>in</strong>g to approaches like black box check<strong>in</strong>g or adaptive model check<strong>in</strong>g. The<br />

latter glue learn<strong>in</strong>g of automata and model check<strong>in</strong>g to study an underly<strong>in</strong>g<br />

system.

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