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Variability management in reference architectures

Grant number: 16/05919-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): October 01, 2017
Effective date (End): November 30, 2020
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal researcher:Elisa Yumi Nakagawa
Grantee:Ana Paula Allian
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Associated scholarship(s):18/20882-1 - Variability Management in Reference Architectures, BE.EP.DR

Abstract

Reference architectures refer to a special type of software architecture that captures the essence of the architectures of a collection of similar systems in a given domain, being an important support to the development, standardization, and evolution of software systems. In another perspective, Variability Management (VM) makes it possible to easily change and adapt software systems for specific contexts in a preplanned manner, dealing with commonalities and variabilities of these systems. VM has been considered in several research topics and was mainly consolidated by the software product line area. However, instead of advantages of VM, most reference architectures are built without containing information about variabilities and, consequently, considerable rework and costs have been necessary when systems built from such architectures need to be adapted, as these systems do not contain also such variabilities. In this scenario, the main objective of this PhD project is to propose a means to incorporate and manage variabilities in reference architectures. More specifically, a framework will be proposed containing methods to identify, represent, and validate variabilities in reference architectures, as well as methods to use such architectures. In order to evaluate this framework, case studies and/or experiments will be conducted by applying it in the reference architecture of our research group. Moreover, surveys with specialists in reference architecture and SPL will complement this evaluation. As main results, we intend to contribute to become reference architectures more effective to the development and evolution of software systems. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ALLIAN, ANA PAULA; OLIVEIRAJR, EDSON; CAPILLA, RAFAEL; NAKAGAWA, ELISA YUMI. Have Variability Tools Fulfilled the Needs of the Software Industry?. JOURNAL OF UNIVERSAL COMPUTER SCIENCE, v. 26, n. 10, p. 1282-1311, . (17/06195-9, 18/20882-1, 19/19730-5, 16/05919-0)
ALLIAN, ANA PAULA; SCHNICKE, FRANK; ANTONINO, PABLO OLIVEIRA; ROMBACH, DIETER; NAKAGAWA, ELISA YUMI. rchitecture Drivers for Trustworthy Interoperability in Industry 4.. IEEE SYSTEMS JOURNAL, v. 15, n. 4, p. 5454-5463, . (18/20882-1, 16/05919-0, 17/06195-9, 19/19730-5)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
ALLIAN, Ana Paula. A Trustworthy Interoperability Architecture for Industry 4.0. 2021. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.