Learning from Evolution for Evolution
| Autor: | Lars Grunske, Mattias Ulbrich, Matthias Tichy, Gabriele Taentzer, Christopher Haubeck, Winfried Lamersdorf, Birgit Vogel-Heuser, Kiana Busch, Sandro Koch, Sinem Getir, Robert Heinrich, Abhishek Chakraborty, Stefan Kögel, Timo Kehrer, Safa Bougouffa, Alexander Fay, Udo Kelter, Jan Ladiges, Suhyun Cha |
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| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Managed Software Evolution ISBN: 9783030134983 Managed Software Evolution |
| DOI: | 10.1007/978-3-030-13499-0_10 |
| Popis: | Successful system evolution is dependent on knowledge about the system itself, its past and its present, as well as the environment of the system. This chapter presents several approaches to automate the acquisition of knowledge about the system’s past, for example past evolution steps, and its present, for example models of its behaviour. Based on these results, further approaches support the validation and verification of evolution steps, as well as the recommendation of evolutions to the system, as well as similar systems. The approaches are illustrated using the joint automation production system case study, the Pick and Place Unit (PPU) and Extended Pick and Place Unit (xPPU). |
| Databáze: | OpenAIRE |
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