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141 results on '"Colanzi, Thelma Elita"'

6. Re-engineering Legacy Systems as Microservices: An Industrial Survey of Criteria to Deal with Modularity and Variability of Features

Author

Carvalho, Luiz, Garcia, Alessandro, Assunção, Wesley K. G., Colanzi, Thelma Elita, Bonifácio, Rodrigo, Tizzei, Leonardo P., Mello, Rafael de, Cerqueira, Renato, Ribeiro, Márcio, Lucena, Carlos, Lopez-Herrejon, Roberto E., editor, Martinez, Jabier, editor, Guez Assunção, Wesley Klewerton, editor, Ziadi, Tewfik, editor, Acher, Mathieu, editor, and Vergilio, Silvia, editor

Published
2023
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11. Re-engineering Legacy Systems as Microservices: An Industrial Survey of Criteria to Deal with Modularity and Variability of Features

Author

Carvalho, Luiz, primary, Garcia, Alessandro, additional, Assunção, Wesley K. G., additional, Colanzi, Thelma Elita, additional, Bonifácio, Rodrigo, additional, Tizzei, Leonardo P., additional, Mello, Rafael de, additional, Cerqueira, Renato, additional, Ribeiro, Márcio, additional, and Lucena, Carlos, additional

Published
2022
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14. A Review of Ten Years of the Symposium on Search-Based Software Engineering

Author

Colanzi, Thelma Elita, Assunção, Wesley Klewerton Guez, Farah, Paulo Roberto, Vergilio, Silvia Regina, Guizzo, Giovani, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nejati, Shiva, editor, and Gay, Gregory, editor

Published
2019
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17. On the Usefulness of Automatically Generated Microservice Architectures

Author

Carvalho, Luiz, Colanzi, Thelma Elita, Assuncao, Wesley K. G., Garcia, Alessandro, Pereira, Juliana Alves, Kalinowski, Marcos, de Mello, Rafael Maiani, de Lima, Maria Julia, and Lucena, Carlos

Abstract

The modernization of monolithic legacy systems with microservices has been a trend in recent years. As part of this modernization, identifying microservice candidates starting from legacy code is challenging, as maintainers may consider many criteria simultaneously. Multi-objective search-based approaches represent a promising state-of-the-art solution to support this decision-making process. However, the rationale to adopt each microservice candidate automatically identified by these approaches is poorly investigated in industrial cases. Furthermore, studies with these approaches have not carefully investigated how maintainers reason and make decisions when designing microservice architectures from legacy systems. To address this gap, we conducted an on-site case study with maintainers of an industrial legacy system to investigate the usefulness of automatically generated microservice architectures. We analyze design decisions pointed out by the maintainers when reasoning about microservice candidates using several criteria at the same time. Our study is the first to assess a search-based approach involving actual maintainers conceiving microservice architectures in an industrial setting. Therefore, firstly, we considered individual evaluation of microservice candidates to understand the rationale for identifying a service. Secondly, we conducted a focus group study with maintainers with the goal of investigating design decisions at an architectural level. The results show that: (i) the automated approach is able to identify useful microservices; (ii) the criteria observed by previous studies are, in fact, considered by maintainers; and (iii) the maintainer profiles, i.e., the preferred granularity for microservice, highly affect design decisions. Finally, we observed the maintainers needed little effort in adjusting the automatically identified microservices to make them adoptable. In addition to indicating a promising potential of search-based approaches to generate microservice architectures, our findings highlight the need for: (i) interactive and/or customizable approaches that enable maintainers to include their preferences during the search process, and (ii) flexible or automated selection of criteria that fits the scenario in which the modernization is taking place.

Published
2024
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19. Optimizing Software Product Line Architectures with OPLA-Tool

Author

Féderle, Édipo Luis, Ferreira, Thiago do Nascimento, Colanzi, Thelma Elita, Vergilio, Silvia Regina, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Barros, Márcio, editor, and Labiche, Yvan, editor

Published
2015
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20. Optimizing Aspect-Oriented Product Line Architectures with Search-Based Algorithms

Author

Mariani, Thainá, Vergilio, Silvia Regina, Colanzi, Thelma Elita, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Barros, Márcio, editor, and Labiche, Yvan, editor

Published
2015
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21. Interaction in search-based PLA

Author

Freire, Willian, Tupan Rosa, Cláudia, Maria Malachini Miotto Amaral, Aline, and Colanzi, Thelma Elita

Abstract

The Software Product Line (SPL) approach is a reuse technique derived from other engineering disciplines to develop a family of products within a specific domain. An essential artifact of SPL is the Software Product Line Architecture (PLA), which identifies elements characterized by variation points, variability, and variants. PLA anticipates design decisions and aims to achieve critical features such as reusability and modularity. As a multiobjective optimization problem, the interactive multiobjective optimization approach for PLA design (iMOA4PLA) employs specific metrics to optimize the PLA problem. The iMOA4PLA is implemented through the OPLA-Tool v2.0, with the decision maker (DM) assuming a participatory role in the optimization process, guiding it through various strategies. In this context, machine learning (ML) algorithms assist the DM. We conducted two experiments to evaluate the proposed model - one quantitative and one qualitative. The results indicate that the approach facilitates the generation of PLA alternatives that align with the DM's expectations. Additionaly, strategies employed are highly efficient in assisting the DM with the PLA evaluation process. This research presents a model that helps decision-makers optimize the Software Product Line Architecture while enabling an interactive process that leverages machine learning algorithms. The scientific contribution of this work lies in providing a framework for the design and evaluation of the PLA that leverages the benefits of machine learning algorithms.hat utilizes machine learning algorithms.

Published
2023
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22. A Pattern-Driven Mutation Operator for Search-Based Product Line Architecture Design

Author

Guizzo, Giovani, Colanzi, Thelma Elita, Vergilio, Silvia Regina, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Le Goues, Claire, editor, and Yoo, Shin, editor

Published
2014
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24. On the Application of the Multi-Evolutionary and Coupling-Based Approach with Different Aspect-Class Integration Testing Strategies

Author

Assunção, Wesley Klewerton Guez, Colanzi, Thelma Elita, Vergilio, Silvia Regina, Pozo, Aurora, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ruhe, Günther, editor, and Zhang, Yuanyuan, editor

Published
2013
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25. Applying Search Based Optimization to Software Product Line Architectures: Lessons Learned

Author

Colanzi, Thelma Elita, Vergilio, Silvia Regina, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fraser, Gordon, editor, and Teixeira de Souza, Jerffeson, editor

Published
2012
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26. Integration Test of Classes and Aspects with a Multi-Evolutionary and Coupling-Based Approach

Author

Colanzi, Thelma Elita, Assunção, Wesley Klewerton Guez, Vergilio, Silvia Regina, Pozo, Aurora, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Cohen, Myra B., editor, and Ó Cinnéide, Mel, editor

Published
2011
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42. OPLA-Tool v2.0

Author

Freire, Willian Marques, primary, Massago, Mamoru, additional, Zavadski, Arthur Cattaneo, additional, Malachini, Aline Maria, additional, Amaral, Miotto, additional, and Colanzi, Thelma Elita, additional

Published
2020
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47. OPLA-Tool-ASP: a Tool to Prevent Architectural Smells in Search-based Product Line Architecture Design.

Author

Madrigar, Tiago Tadeu, Colanzi, Thelma Elita, Oizumi, Willian Nalepa, Okada, Luiz Fernando, and Garcia, Alessandro

Subjects
ARCHITECTURAL design, PRODUCT lines, MAINTAINABILITY (Engineering), SMELL
Abstract

Search-based algorithms have been successfully employed in Product Line Architecture (PLA) design in the seminal approach named Multi-Objective Approach for Product-Line Architecture Design (MOA4PLA). This approach generates a set of alternative PLA designs, which optimize different architectural properties. In addition to these properties, the alternative PLA designs should have as few architectural smells as possible. Architectural smells can negatively impact PLA variability, PLA extensibility, SPL maintainability, and other non-functional attributes. However, one of the main findings of a previous study is that the tool that automates the application of MOA4PLA adversely introduces architectural smells in the automatically generated solutions. In this work, we present OPLA-Tool-ASP, which is a tool that implements guidelines to detect and prevent the architectural smells Unused Interface, Unused Brick, Concern Overload, and Link Overload in the context of MOA4PLA. An empirical study was carried out to assess the effectiveness of OPLA-Tool-ASP in preventing the aforementioned smells in the resulting PLA designs. The obtained results pointed out that the proposed tool is effective in both preventing the smells and improving the architectural properties selected for optimization. [ABSTRACT FROM AUTHOR]

Published
2022
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