Implicit Incremental Model Analyses and Transformations
When models of a system change, analyses based on them have to be reevaluated in order for the results to stay meaningful. In many cases, the time to get updated analysis results is critical. This thesis proposes multiple, combinable approaches and a new formalism based on category theory for implic...
Main Author: | |
---|---|
Format: | eBook |
Language: | English |
Published: |
Karlsruhe
KIT Scientific Publishing
2021
|
Series: | The Karlsruhe Series on Software Design and Quality
|
Subjects: | |
Online Access: | |
Collection: | Directory of Open Access Books - Collection details see MPG.ReNa |
Summary: | When models of a system change, analyses based on them have to be reevaluated in order for the results to stay meaningful. In many cases, the time to get updated analysis results is critical. This thesis proposes multiple, combinable approaches and a new formalism based on category theory for implicitly incremental model analyses and transformations. The advantages of the implementation are validated using seven case studies, partially drawn from the Transformation Tool Contest (TTC). |
---|---|
Item Description: | Creative Commons (cc), by-sa/4.0, http://creativecommons.org/licenses/by-sa/4.0 |
Physical Description: | 1 electronic resource (498 p.) |
ISBN: | 9783731507635 1000080522 |