Nothing Special   »   [go: up one dir, main page]
Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Software Engineering

arXiv:2301.07516 (cs)
[Submitted on 18 Jan 2023]

Title:Quality Attributes Optimization of Software Architecture: Research Challenges and Directions

Authors:Daniele Di Pompeo, Michele Tucci
View PDF
Abstract:The estimation and improvement of quality attributes in software architectures is a challenging and time-consuming activity. On modern software applications, a model-based representation is crucial to face the complexity of such activity. One main challenge is that the improvement of distinctive quality attributes may require contrasting refactoring actions on the architecture, for instance when looking for trade-off between performance and reliability (or other non-functional quality attributes). In such cases, multi-objective optimization can provide the designer with a more complete view on these trade-offs and, consequently, can lead to identify suitable refactoring actions that take into account independent or even competing objectives.
In this paper, we present open challenges and research directions to fill current gaps in the context of multi-objective software architecture optimization.
Comments: 4 pages, 1 figure -- 3rd International Workshop on Model-Driven Engineering for Software Architecture (MDE4SA 2023)
Subjects: Software Engineering (cs.SE)
Cite as: arXiv:2301.07516 [cs.SE]
  (or arXiv:2301.07516v1 [cs.SE] for this version)
  https://doi.org/10.48550/arXiv.2301.07516
Journal reference: 20th International Conference on Software Architecture, ICSA 2023 - Companion
Related DOI: https://doi.org/10.1109/ICSA-C57050.2023.00061

Submission history

From: Daniele Di Pompeo [view email]
[v1] Wed, 18 Jan 2023 13:37:21 UTC (125 KB)
Full-text links:

Access Paper:

  • View PDF
  • TeX Source
  • Other Formats
license icon view license
Current browse context:
cs.SE
< prev   |   next >
new | recent | 2023-01
Change to browse by:
cs

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)