| Autor: |
CHONDAMRONGKUL, NACHA, JING SUN, WARREN, IAN |
| Předmět: |
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| Zdroj: |
ACM Transactions on Software Engineering & Methodology; Jul2021, Vol. 30 Issue 4, p1-35, 35p |
| Abstrakt: |
Software architectural designs are usually changed over time to support emerging technologies and to adhere to new principles. Architectural migration is an important activity that helps to transform the architectural styles applied during a system's design with the result of modernising the system. If not performed correctly, this process could lead to potential system failures. This article presents an automated approach to refactoring architectural design and to planning the evolution process. With our solution, the architectural design can be refactored, ensuring that system functionality is preserved. Furthermore, the architectural migration process allows the system to be safely and incrementally transformed. We have evaluated our approach with five real-world software applications. The results prove the effectiveness of our approach and identify factors that impact the performance of architectural verification and migration planning. An interesting finding is that planning algorithms generate migration plans that differ in term of their relative efficiency. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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