Automated Improvement of Software Architecture Models for Performance and Other Quality Attributes
Quality attributes, such as performance or reliability, are crucial for the success of a software system and largely influenced by the software architecture. Their quantitative prediction supports systematic, goal-oriented software design and forms a base of an engineering approach to software desig...
Tallennettuna:
| Päätekijä: | |
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| Aineistotyyppi: | Online |
| Kieli: | englanti |
| Julkaistu: |
KIT Scientific Publishing
2021
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| Aiheet: | |
| Linkit: | 34366 |
| Tagit: |
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| Yhteenveto: | Quality attributes, such as performance or reliability, are crucial for the success of a software system and largely influenced by the software architecture. Their quantitative prediction supports systematic, goal-oriented software design and forms a base of an engineering approach to software design. This thesis proposes a method and tool to automatically improve component-based software architecture (CBA) models based on such quantitative quality prediction techniques. |
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