Enhancing Software Architecture Adaptability: A Comprehensive Evaluation Method Article Swipe
The field of self-adaptive software is becoming increasingly crucial because software has to adapt its behavior at runtime to keep up with dynamic and constantly evolving environments. The ability of software to modify and adjust itself is known as adaptability, which has been acknowledged as an important quality attribute. As software architecture development represents the initial stage of the design process, architectural design has emerged as a critical development activity. The degree to which the architecture can adapt to changes will be the key factor in determining the adaptability of the software ultimately released to users. Existing metrics for software architectural adaptability typically view adaptability as a positive attribute, meaning that any possibility of change in architectural elements is perceived as an improvement in adaptability. However, the application of adaptability that leads to increased costs or complexity can only be seen as a negative attribute. In other words, the side effects brought about solely for the purpose of achieving adaptability are greatly overlooked; that is, the impacts caused by adaptability exhibit both symmetry and asymmetry for software architectural adaptability. On the other hand, the existing measures of adaptability only define it from the perspective of whether a module will change, without considering changes beyond the topological structure under multiple strategies. In this paper, we propose a comprehensive assessment approach to measure software architecture adaptability. Multiple factors are considered, including the number and types of strategies employed, the cost of completing the adaptation, the extent of changes made to the architectural elements, and the overall impact of the adaptation on the architecture. An extended UML (e-UML) component diagram is presented to model software architectural changes under various types of strategies. Finally, an experiment on the znn.com software is conducted to validate the practical feasibility of our proposed method. Our approach can assist software architects in making informed decisions regarding software architecture design options to improve the adaptability and longevity of their software systems.
Related Topics
Concepts
Adaptability
Computer science
Adaptation (eye)
Software architecture
Architectural pattern
Architecture
Software engineering
Software
Software system
Resource-oriented architecture
Software development
Component-based software engineering
Software design
Operating system
Optics
Biology
Ecology
Physics
Art
Visual arts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/sym16070894
- https://www.mdpi.com/2073-8994/16/7/894/pdf?version=1721125428
- OA Status
- gold
- Cited By
- 2
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400640676
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4400640676Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/sym16070894Digital Object Identifier
- Title
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Enhancing Software Architecture Adaptability: A Comprehensive Evaluation MethodWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-07-13Full publication date if available
- Authors
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Qiuying Li, Fuping ZengList of authors in order
- Landing page
-
https://doi.org/10.3390/sym16070894Publisher landing page
- PDF URL
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https://www.mdpi.com/2073-8994/16/7/894/pdf?version=1721125428Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2073-8994/16/7/894/pdf?version=1721125428Direct OA link when available
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Adaptability, Computer science, Adaptation (eye), Software architecture, Architectural pattern, Architecture, Software engineering, Software, Software system, Resource-oriented architecture, Software development, Component-based software engineering, Software design, Operating system, Optics, Biology, Ecology, Physics, Art, Visual artsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2024: 2Per-year citation counts (last 5 years)
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34Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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