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A decision-making tool to support architectural designs based on quality attributes

Authors:

Italo Carlo Lopes Silva,

Patrick H. S. Brito,

Baldoino F. dos S. Neto,

Andre Almeida SilvaAuthors Info & Claims

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

Pages 1457 - 1463

https://doi.org/10.1145/2695664.2695928

Published: 13 April 2015 Publication History

Abstract

The success of a software project is strongly related with architectural design. However, designing the right Software Architecture is a very subjective task and takes a long time, being much influenced by architect's experience and the quality of requirements engineering. This architectural knowledge, usually, is not documented, since it is considered tacit knowledge of architects or other stakeholders, and eventually dissipates. The objective of this paper is to present a tool that supports young architects by recommending a suitable architectural style, based on the system's requirements, particularly the quality attributes of the system. The tool encompasses both trade-off resolution over quality attributes and recommendation of architectural styles based on quality attributes. The proposed solution has been evaluated in the context of a specific domain of Learning Management System (LMS), in order to illustrate the tool support in the execution of an architectural design process.

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Cited By

Hyun SHurtado J(2023)Traceability of Architectural Design Decisions and Software Artifacts: A Systematic Mapping StudyFoundations of Computing and Decision Sciences10.2478/fcds-2023-001848:4(401-423)Online publication date: 21-Dec-2023
https://doi.org/10.2478/fcds-2023-0018
Amiri ANtentos EZdun UGeiger S(2023)Tool Support for Learning Architectural Guidance Models from Architectural Design Decision ModelsProceedings of the 28th European Conference on Pattern Languages of Programs10.1145/3628034.3628037(1-14)Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1145/3628034.3628037
Lytra ICarrillo CCapilla RZdun U(2019)Quality attributes use in architecture design decision methods: research and practiceComputing10.1007/s00607-019-00758-9Online publication date: 1-Oct-2019
https://doi.org/10.1007/s00607-019-00758-9
Show More Cited By

Index Terms

A decision-making tool to support architectural designs based on quality attributes
1. Computing methodologies
  1. Machine learning
2. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Software architectures

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Information & Contributors

Information

Published In

cover image ACM Conferences

SAC '15: Proceedings of the 30th Annual ACM Symposium on Applied Computing

April 2015

2418 pages

ISBN:9781450331968

DOI:10.1145/2695664

Conference Chairs:
Roger L. Wainwright
University of Tulsa
,
Juan Manuel Corchado
University of Salamanca, Spain
,
Program Chairs:
Alessio Bechini
University of Pisa, Italy
,
Jiman Hong
Soongsil University, South Korea

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 April 2015

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Funding Sources

European Union's Seventh Framework Programme

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SAC 2015

Sponsor:

SIGAPP

SAC 2015: Symposium on Applied Computing

April 13 - 17, 2015

Salamanca, Spain

Acceptance Rates

SAC '15 Paper Acceptance Rate 291 of 1,211 submissions, 24%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

Upcoming Conference

SAC '25

Sponsor:
sigapp

The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

Catania , Italy

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Cited By

Hyun SHurtado J(2023)Traceability of Architectural Design Decisions and Software Artifacts: A Systematic Mapping StudyFoundations of Computing and Decision Sciences10.2478/fcds-2023-001848:4(401-423)Online publication date: 21-Dec-2023
https://doi.org/10.2478/fcds-2023-0018
Amiri ANtentos EZdun UGeiger S(2023)Tool Support for Learning Architectural Guidance Models from Architectural Design Decision ModelsProceedings of the 28th European Conference on Pattern Languages of Programs10.1145/3628034.3628037(1-14)Online publication date: 5-Jul-2023
https://dl.acm.org/doi/10.1145/3628034.3628037
Lytra ICarrillo CCapilla RZdun U(2019)Quality attributes use in architecture design decision methods: research and practiceComputing10.1007/s00607-019-00758-9Online publication date: 1-Oct-2019
https://doi.org/10.1007/s00607-019-00758-9
Bhat MShumaiev KKoch KHohenstein UBiesdorf AMatthes F(2018)An Expert Recommendation System for Design Decision Making: Who Should be Involved in Making a Design Decision?2018 IEEE International Conference on Software Architecture (ICSA)10.1109/ICSA.2018.00018(85-8509)Online publication date: Apr-2018
https://doi.org/10.1109/ICSA.2018.00018

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