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Eduardo Figueiredo 0001
Eduardo Magno Lages Figueiredo
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- affiliation: Federal University of Minas Gerais, Belo Horizonte, Brazil
Other persons with the same name
- Eduardo Figueiredo 0002 — TU Delft, The Netherlands
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2020 – today
- 2024
- [j24]Kattiana Constantino, Raquel Oliveira Prates, Eduardo Figueiredo:
A User Evaluation of a Collaborator Recommender based on Co-Changed Files. J. Interact. Syst. 15(1): 157-169 (2024) - [j23]Thiago Nicolini, André C. Hora, Eduardo Figueiredo:
On the Usage of New JavaScript Features Through Transpilers: The Babel Case. IEEE Softw. 41(1): 105-112 (2024) - [c130]Daniel Cruz, Amanda Santana, Eduardo Figueiredo:
An Exploratory Evaluation of Continuous Feedback to Enhance Machine Learning Code Smell Detection. CIbSE 2024: 76-90 - [c129]Jefferson G. M. Lopes, Johnatan Oliveira, Eduardo Figueiredo:
Evaluating the Impact of Developer Experience on Code Quality: A Systematic Literature Review. CIbSE 2024: 166-180 - [c128]Henrique Gomes Nunes, Amanda Santana, Eduardo Figueiredo, Heitor A. X. Costa:
Tuning Code Smell Prediction Models: A Replication Study. ICPC 2024: 316-327 - [c127]Klayver Ximenes Carmo, Fischer Ferreira, Eduardo Figueiredo:
Performance Evaluation of Back-End Frameworks: A Comparative Study. SBSI 2024: 43:1-43:9 - [c126]Euler Marinho, Izaias Machado Pessoa Neto, Fischer Ferreira, João P. Diniz, Eduardo Figueiredo:
RIFDiscoverer: A Tool for Finding Resource Interaction Failures. SPLC (B) 2024: 30-33 - [c125]Euler Horta Marinho, Fischer Ferreira, Eduardo Fernandes, João Paulo Diniz, Eduardo Figueiredo:
Resource Interaction Failures in Mobile Applications: A Challenge for the Software Product Line Testing Community. SPLC (A) 2024: 203-208 - 2023
- [j22]Kattiana Constantino, Maurício R. de A. Souza, Shurui Zhou, Eduardo Figueiredo, Christian Kästner:
Perceptions of open-source software developers on collaborations: An interview and survey study. J. Softw. Evol. Process. 35(5) (2023) - [j21]Kattiana Constantino, Fabiano Belém, Eduardo Figueiredo:
Dual analysis for helping developers to find collaborators based on co-changed files: An empirical study. Softw. Pract. Exp. 53(6): 1438-1464 (2023) - [j20]Euler Horta Marinho, Fischer Ferreira, João Paulo Diniz, Eduardo Figueiredo:
Evaluating testing strategies for resource related failures in mobile applications. Softw. Qual. J. 31(4): 1121-1147 (2023) - [c124]Geanderson E. dos Santos, Amanda Santana, Gustavo Vale, Eduardo Figueiredo:
Yet Another Model! A Study on Model's Similarities for Defect and Code Smells. FASE 2023: 282-305 - [c123]João Paulo Diniz, Fischer Ferreira, Fabiano Cutigi Ferrari, Eduardo Figueiredo:
Do Mutations of Strongly Subsuming Second-Order Mutants Really Mask Each Other? ISSRE 2023: 114-124 - [c122]Euler Horta Marinho, Fischer Ferreira, João Paulo Diniz, Eduardo Figueiredo:
Applying Spectrum-Based Fault Localization to Android Applications. SBES 2023: 257-266 - [c121]Gustavo Vale, Eduardo Fernandes, Eduardo Figueiredo, Sven Apel:
Behind Developer Contributions on Conflicting Merge Scenarios. SCAM 2023: 25-36 - 2022
- [j19]Rodrigo André Ferreira Moreira, Wesley K. G. Assunção, Jabier Martinez, Eduardo Figueiredo:
Open-source software product line extraction processes: the ArgoUML-SPL and Phaser cases. Empir. Softw. Eng. 27(4): 85 (2022) - [j18]Romulo Nascimento, Eduardo Figueiredo, André C. Hora:
JavaScript API Deprecation Landscape: A Survey and Mining Study. IEEE Softw. 39(3): 96-105 (2022) - [j17]Gustavo Vale, Claus Hunsen, Eduardo Figueiredo, Sven Apel:
Challenges of Resolving Merge Conflicts: A Mining and Survey Study. IEEE Trans. Software Eng. 48(12): 4964-4985 (2022) - [c120]Geanderson E. dos Santos, Adriano Veloso, Eduardo Figueiredo:
The Subtle Art of Digging for Defects: Analyzing Features for Defect Prediction in Java Projects. ENASE 2022: 371-378 - [c119]Johnatan Oliveira, Maurício R. de A. Souza, Matheus Flauzino, Rafael S. Durelli, Eduardo Figueiredo:
Can Source Code Analysis Indicate Programming Skills? A Survey with Developers. QUATIC 2022: 156-171 - [c118]Jefferson G. M. Lopes, Johnatan Alves, Eduardo Figueiredo:
EXTRACTPRO: A Data Mining Tool for Developer Profile Generation based on Source Code Analysis. SBES 2022: 112-117 - [c117]Geanderson E. dos Santos, Adriano Veloso, Eduardo Figueiredo:
Understanding Thresholds of Software Features for Defect Prediction. SBES 2022: 305-310 - [c116]Henrique Gomes Nunes, Lucas Francisco da Matta Vegi, Victor Pezzi Gazzinelli Cruz, Eduardo Figueiredo:
Democracia em Xeque: Um Estudo Comparativo sobre Detecção de Code Smells. VEM 2022: 11-15 - [c115]Romulo Nascimento, André C. Hora, Eduardo Figueiredo:
Exploring API Deprecation Evolution in JavaScript. SANER 2022: 169-173 - 2021
- [j16]Fischer Ferreira, Gustavo Vale, João Paulo Diniz, Eduardo Figueiredo:
Evaluating T-wise testing strategies in a community-wide dataset of configurable software systems. J. Syst. Softw. 179: 110990 (2021) - [c114]Fischer Ferreira, João Paulo Diniz, Gustavo Vale, Eduardo Figueiredo:
On the challenges for creating a test suite for configurable software systems. CIbSE 2021: 220-233 - [c113]João Paulo Diniz, Chu-Pan Wong, Christian Kästner, Eduardo Figueiredo:
Dissecting Strongly Subsuming Second-Order Mutants. ICST 2021: 171-181 - [c112]Euler Horta Marinho, João Paulo Diniz, Fischer Ferreira, Eduardo Figueiredo:
Evaluating Sensor Interaction Failures in Mobile Applications. QUATIC 2021: 49-63 - [c111]Amanda Santana, Daniel Cruz, Eduardo Figueiredo:
An exploratory study on the identification and evaluation of bad smell agglomerations. SAC 2021: 1289-1297 - [c110]Igor Muzetti Pereira, Tiago G. S. Carneiro, Eduardo Figueiredo:
A systematic review on the use of DevOps in internet of things software systems. SAC 2021: 1569-1571 - [c109]Igor Muzetti Pereira, Tiago Garcia de Senna Carneiro, Eduardo Figueiredo:
Main Differences of DevOps on IoT Systems. SBES 2021: 315-319 - [c108]Igor Muzetti Pereira, Tiago Garcia de Senna Carneiro, Eduardo Figueiredo:
Investigating Continuous Delivery on IoT Systems. SBQS 2021: 8 - [c107]Igor Muzetti Pereira, Tiago Garcia de Senna Carneiro, Eduardo Figueiredo:
Understanding the context of IoT software systems in DevOps. SERP4IoT 2021: 13-20 - [i4]Igor Muzetti Pereira, Tiago Garcia de Senna Carneiro, Eduardo Figueiredo:
Understanding the Context of IoT Software Systems in DevOps. CoRR abs/2104.10147 (2021) - 2020
- [j15]Geanderson Esteves dos Santos, Eduardo Figueiredo, Adriano Veloso, Markos Viggiato, Nivio Ziviani:
Understanding machine learning software defect predictions. Autom. Softw. Eng. 27(3): 369-392 (2020) - [c106]Geanderson E. dos Santos, Eduardo Figueiredo:
Commit Classification using Natural Language Processing: Experiments over Labeled Datasets. CIbSE 2020: 110-123 - [c105]Fischer Ferreira, Eduardo Fernandes, Johnatan Oliveira, Maurício R. de A. Souza, Eduardo Figueiredo:
How Difficult and Effective is Writing Assertions for Observing Bugs at Runtime? CIbSE 2020: 306-319 - [c104]Cleiton Silva Tavares, Amanda Santana, Eduardo Figueiredo, Mariza A. S. Bigonha:
Revisiting the Bad Smell and Refactoring Relationship: A Systematic Literature Review. CIbSE 2020: 434-447 - [c103]Kattiana Constantino, Shurui Zhou, Maurício R. de A. Souza, Eduardo Figueiredo, Christian Kästner:
Understanding collaborative software development: an interview study. ICGSE 2020: 55-65 - [c102]Daniel Cruz, Amanda Santana, Eduardo Figueiredo:
Detecting bad smells with machine learning algorithms: an empirical study. TechDebt@ICSE 2020: 31-40 - [c101]Cleiton Silva Tavares, Mariza A. S. Bigonha, Eduardo Magno Lages Figueiredo:
Analyzing the Impact of Refactoring on Bad Smells. SBES 2020: 97-101 - [c100]Johnatan Oliveira, Denis Pinheiro, Eduardo Figueiredo:
JExpert: A Tool for Library Expert Identification. SBES 2020: 386-392 - [c99]Euler Horta Marinho, Eduardo Figueiredo:
PLATOOL: A Functional Test Generation Tool for Mobile Applications. SBES 2020: 548-553 - [c98]Geanderson E. dos Santos, Eduardo Figueiredo, Adriano Veloso, Markos Viggiato, Nivio Ziviani:
Predicting Software Defects with Explainable Machine Learning. SBQS 2020: 18 - [c97]Geanderson Esteves dos Santos, Eduardo Figueiredo:
Failure of One, Fall of Many: An Exploratory Study of Software Features for Defect Prediction. SCAM 2020: 98-109 - [c96]João Paulo Diniz, Daniel Cruz, Fabio Ferreira, Cleiton Silva Tavares, Eduardo Figueiredo:
GitHub Label Embeddings. SCAM 2020: 249-253 - [c95]Chu-Pan Wong, Jens Meinicke, Leo Chen, João Paulo Diniz, Christian Kästner, Eduardo Figueiredo:
Efficiently finding higher-order mutants. ESEC/SIGSOFT FSE 2020: 1165-1177 - [c94]Jabier Martinez, Daniele Wolfart, Wesley K. G. Assunção, Eduardo Figueiredo:
Insights on software product line extraction processes: ArgoUML to ArgoUML-SPL revisited. SPLC (A) 2020: 6:1-6:6 - [c93]Fischer Ferreira, Markos Viggiato, Maurício R. de A. Souza, Eduardo Figueiredo:
Testing configurable software systems: the failure observation challenge. SPLC (A) 2020: 28:1-28:6 - [c92]Fischer Ferreira, Gustavo Vale, João Paulo Diniz, Eduardo Figueiredo:
On the proposal and evaluation of a test-enriched dataset for configurable systems. VaMoS 2020: 16:1-16:10 - [c91]Romulo Nascimento, Aline Brito, André C. Hora, Eduardo Figueiredo:
JavaScript API Deprecation in the Wild: A First Assessment. SANER 2020: 567-571 - [e3]Claudia P. Ayala, Leonardo Murta, Daniela Soares Cruzes, Eduardo Figueiredo, Carla Silva, Jose Luis de la Vara, Breno de França, Martín Solari, Guilherme Horta Travassos, Ivan Machado:
Proceedings of the XXIII Iberoamerican Conference on Software Engineering, CIbSE 2020, Curitiba, Paraná, Brazil, November 9-13, 2020. Curran Associates 2020, ISBN 978-1-7138-1853-3 [contents] - [i3]Chu-Pan Wong, Jens Meinicke, Leo Chen, João Paulo Diniz, Christian Kästner, Eduardo Figueiredo:
Efficiently Finding Higher-Order Mutants. CoRR abs/2004.02000 (2020)
2010 – 2019
- 2019
- [j14]Gustavo Vale, Eduardo Fernandes, Eduardo Figueiredo:
On the proposal and evaluation of a benchmark-based threshold derivation method. Softw. Qual. J. 27(1): 275-306 (2019) - [c90]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
Understanding similarities and differences in software development practices across domains. ICGSE 2019: 74-84 - [c89]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
How Do Code Changes Evolve in Different Platforms? A Mining-Based Investigation. ICSME 2019: 218-222 - [c88]Hoyama Maria dos Santos, Vinicius H. S. Durelli, Maurício R. de A. Souza, Eduardo Figueiredo, Lucas Timoteo da Silva, Rafael Serapilha Durelli:
CleanGame: Gamifying the Identification of Code Smells. SBES 2019: 437-446 - [c87]Maurício R. de A. Souza, Renata Teles Moreira, Eduardo Figueiredo:
Students Perception on the use of Project-Based Learning in Software Engineering Education. SBES 2019: 537-546 - [c86]Johnatan Oliveira, Markos Viggiato, Eduardo Figueiredo:
How Well Do You Know This Library?: Mining Experts from Source Code Analysis. SBQS 2019: 49-58 - [c85]Danilo Favato, Daniel Ishitani, Johnatan Oliveira, Eduardo Figueiredo:
Linus's Law: More Eyes Fewer Flaws in Open Source Projects. SBQS 2019: 69-78 - [c84]Allan Mori, Gustavo Vale, Elder Cirilo, Eduardo Figueiredo:
A Domain-Sensitive Threshold Derivation Method. SBSI 2019: 42:1-42:8 - [c83]Fischer Ferreira, João Paulo Diniz, Cleiton Silva Tavares, Eduardo Figueiredo:
Testing Tools for Configurable Software Systems: A Review-based Empirical Study. VaMoS 2019: 6:1-6:10 - [c82]Daniel Cruz, Eduardo Figueiredo, Jabier Martinez:
A Literature Review and Comparison of Three Feature Location Techniques using ArgoUML-SPL. VaMoS 2019: 16:1-16:10 - [i2]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Pooyan Jamshidi, Christian Kästner:
How Do Code Changes Evolve in Different Platforms? A Mining-based Investigation. CoRR abs/1910.11433 (2019) - 2018
- [j13]Maurício Ronny de Almeida Souza, Lucas Veado, Renata Teles Moreira, Eduardo Figueiredo, Heitor A. X. Costa:
A systematic mapping study on game-related methods for software engineering education. Inf. Softw. Technol. 95: 201-218 (2018) - [c81]Adriano Lages dos Santos, Maurício R. de A. Souza, Eduardo Figueiredo, Marcella Dayrell:
Game Elements for Learning Programming: A Mapping Study. CSEDU (2) 2018: 89-101 - [c80]Adriano Lages dos Santos, Maurício R. de A. Souza, Marcella Dayrell, Eduardo Figueiredo:
A Systematic Mapping Study on Game Elements and Serious Games for Learning Programming. CSEDU (Selected Papers) 2018: 328-356 - [c79]Pedro Rodrigues, Maurício R. de A. Souza, Eduardo Figueiredo:
Games and Gamification in Software Engineering Education: A Survey with Educators. FIE 2018: 1-9 - [c78]Adriano Lages dos Santos, Maurício R. de A. Souza, Marcella Dayrell, Eduardo Figueiredo:
Exploring Game Elements in Learning Programming: An Empirical Evaluation. FIE 2018: 1-9 - [c77]Allan Mori, Gustavo Vale, Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo, Elder Cirilo, Pooyan Jamshidi, Christian Kästner:
Evaluating domain-specific metric thresholds: an empirical study. TechDebt@ICSE 2018: 41-50 - [c76]Adriano Lages dos Santos, Maurício R. de A. Souza, Johnatan Oliveira, Eduardo Figueiredo:
Mining Software Repositories to Identify Library Experts. SBCARS 2018: 83-91 - [c75]Cleiton Silva Tavares, Fischer Ferreira, Eduardo Figueiredo:
A Systematic Mapping of Literature on Software Refactoring Tools. SBSI 2018: 11:1-11:8 - [c74]Johnatan Oliveira, Markos Viggiato, Mateus F. Santos, Eduardo Figueiredo, Humberto Marques-Neto:
An Empirical Study on the Impact of Android Code Smells on Resource Usage. SEKE 2018: 314-313 - [c73]Juliana Alves Pereira, Sandro Schulze, Eduardo Figueiredo, Gunter Saake:
N-dimensional tensor factorization for self-configuration of software product lines at runtime. SPLC 2018: 87-97 - [c72]Juliana Alves Pereira, Lucas Maciel, Thiago F. Noronha, Eduardo Figueiredo:
Heuristic and exact algorithms for product configuration in software product lines. SPLC 2018: 247 - [c71]Jabier Martinez, Nicolas Ordoñez, Xhevahire Tërnava, Tewfik Ziadi, Jairo Aponte, Eduardo Figueiredo, Marco Túlio Valente:
Feature location benchmark with argoUML SPL. SPLC 2018: 257-263 - [i1]Markos Viggiato, Ricardo Terra, Henrique Rocha, Marco Túlio Valente, Eduardo Figueiredo:
Microservices in Practice: A Survey Study. CoRR abs/1808.04836 (2018) - 2017
- [j12]Johnatan Oliveira, Eduardo Fernandes, Maurício Ronny Souza, Eduardo Figueiredo:
A Method Based on Naming Similarity to Identify Reuse Opportunities. Braz. J. Inf. Syst. 10(1): 99-121 (2017) - [j11]Juliana Alves Pereira, Lucas Maciel, Thiago F. Noronha, Eduardo Figueiredo:
Heuristic and exact algorithms for product configuration in software product lines. Int. Trans. Oper. Res. 24(6): 1285-1306 (2017) - [j10]Thanis Paiva, Amanda Damasceno, Eduardo Figueiredo, Cláudio Sant'Anna:
On the evaluation of code smells and detection tools. J. Softw. Eng. Res. Dev. 5: 7 (2017) - [c70]Eduardo Fernandes, Luiz Paulo Ferreira, Eduardo Figueiredo, Marco Túlio Valente:
How Clear is Your Code? CIbSE 2017: 539-552 - [c69]Maurício Ronny de Almeida Souza, Kattiana Fernandes Constantino, Lucas Furtini Veado, Eduardo Magno Lages Figueiredo:
Gamification in Software Engineering Education: An Empirical Study. CSEE&T 2017: 276-284 - [c68]Antonio Cesar Brandao Gomes da Silva, Kattiana Constantino, Glauco de Figueiredo Carneiro, Antonio Carlos Marcelino de Paula, Eduardo Figueiredo, Miguel Pessoa Monteiro, Fernando Brito e Abreu:
The Influence of Software Product Quality Attributes on Open Source Projects: A Characterization Study. ICEIS (2) 2017: 29-39 - [c67]João Paulo Diniz, Gustavo Vale, Felipe Nunes Gaia, Eduardo Figueiredo:
Evaluating Delta-Oriented Programming for Evolving Software Product Lines. VACE@ICSE 2017: 27-33 - [c66]Maurício Ronny de Almeida Souza, Lucas Furtini Veado, Renata Teles Moreira, Eduardo Magno Lages Figueiredo, Heitor Augustus Xavier Costa:
Games for Learning: Bridging Game-Related Education Methods to Software Engineering Knowledge Areas. ICSE-SEET 2017: 170-179 - [c65]Eduardo Fernandes, Gustavo Vale, Leonardo da Silva Sousa, Eduardo Figueiredo, Alessandro Garcia, Jaejoon Lee:
No Code Anomaly is an Island - Anomaly Agglomeration as Sign of Product Line Instabilities. ICSR 2017: 48-64 - [c64]Johnatan Oliveira, Eduardo Fernandes, Gustavo Vale, Eduardo Figueiredo:
Identification and Prioritization of Reuse Opportunities with JReuse. ICSR 2017: 184-191 - [c63]Guilherme T. de Assis, Gustavo Vale, Eduardo Figueiredo:
Feature oriented programming in Groovy. FOSD 2017: 21-30 - [c62]Markos Viggiato, Johnatan Oliveira, Eduardo Figueiredo:
On the Investigation of Domain-Sensitive Bad Smells in Information Systems. SBSI 2017: 388-395 - [c61]Allan Mori, Eduardo Figueiredo, Elder Cirilo:
Towards the Definition of Domain-Specific Thresholds. SBSI 2017: 404-411 - 2016
- [j9]Adriano Lages dos Santos, Péricles Alves, Eduardo Figueiredo, Fabiano Cutigi Ferrari:
Avoiding code pitfalls in Aspect-Oriented Programming. Sci. Comput. Program. 119: 31-50 (2016) - [c60]Eduardo Fernandes, Johnatan Oliveira, Gustavo Vale, Thanis Paiva, Eduardo Figueiredo:
A review-based comparative study of bad smell detection tools. EASE 2016: 18:1-18:12 - [c59]Lucas Veado, Gustavo Vale, Eduardo Fernandes, Eduardo Figueiredo:
TDTool: threshold derivation tool. EASE 2016: 24:1-24:5 - [c58]Juliana Alves Pereira, Kattiana Constantino, Eduardo Figueiredo, Gunter Saake:
Quantitative and Qualitative Empirical Analysis of Three Feature Modeling Tools. ENASE (Selected Papers) 2016: 66-88 - [c57]Kattiana Constantino, Juliana Alves Pereira, Juliana Padilha, Priscilla Vasconcelos, Eduardo Figueiredo:
An Empirical Study of Two Software Product Line Tools. ENASE 2016: 164-171 - [c56]Eduardo Fernandes, Johnatan Oliveira, Eduardo Figueiredo:
Investigating how features of online learning support software process education. FIE 2016: 1-8 - [c55]Ramon Abílio, Gustavo Vale, Eduardo Figueiredo, Heitor A. X. Costa:
Metrics for feature-oriented programming. WETSoM@ICSE 2016: 36-42 - [c54]Kattiana Constantino, Eduardo Figueiredo, Glauco de Figueiredo Carneiro, Raquel Minardi:
Multiple View Interactive Environment to Analyze Software Product Line Tools [Multiple View Interactive Environment to Analyze Software Product Line Tools]. SBSI 2016: 240-247 - [c53]Johnatan Oliveira, Eduardo Fernandes, Maurício R. de A. Souza, Eduardo Figueiredo:
A Method Based on Naming Similarity to Identify Reuse Opportunities. SBSI 2016: 305-312 - [c52]Eduardo Fernandes, Fischer Ferreira, Joao A. Netto, Eduardo Figueiredo:
Information Systems Development with Pair Programming: An Academic Quasi-Experiment. SBSI 2016: 486-493 - [c51]Gustavo Vale, Ramon Abílio, Juliana Alves Pereira, Eduardo Figueiredo, Paulo Afonso Parreira, Heitor A. X. Costa:
Identification and relationship between notation and tool for feature models with graphic representation. SCCC 2016: 1-12 - 2015
- [c50]Gustavo Vale, Hudson Borges, Eduardo Figueiredo, Clarindo Pádua:
Ferramentas de Medição de Software: Um Estudo Comparativo. CIbSE 2015: 365 - [c49]Danilo Silva, Marco Túlio Valente, Eduardo Figueiredo:
Um Estudo sobre Extração de Métodos para Reutilização de Código. CIbSE 2015: 404 - [c48]Juliana Alves Pereira, Kattiana Constantino, Eduardo Figueiredo:
A Systematic Literature Review of Software Product Line Management Tools. ICSR 2015: 73-89 - [c47]Ramon Abílio, Juliana Padilha, Eduardo Figueiredo, Heitor A. X. Costa:
Detecting Code Smells in Software Product Lines - An Exploratory Study. ITNG 2015: 433-438 - [c46]Gustavo Andrade Do Vale, Eduardo Magno Lages Figueiredo:
A Method to Derive Metric Thresholds for Software Product Lines. SBES 2015: 110-119 - [c45]Bruno Cardoso, Eduardo Figueiredo:
Co-Occurrence of Design Patterns and Bad Smells in Software Systems: An Exploratory Study. SBSI 2015: 347-354 - [c44]Gustavo Vale, Danyllo Albuquerque, Eduardo Figueiredo, Alessandro F. Garcia:
Defining metric thresholds for software product lines: a comparative study. SPLC 2015: 176-185 - 2014
- [j8]Nélio Cacho, Cláudio Sant'Anna, Eduardo Figueiredo, Francisco Dantas, Alessandro F. Garcia, Thaís Vasconcelos Batista:
Blending design patterns with aspects: A quantitative study. J. Syst. Softw. 98: 117-139 (2014) - [j7]Gabriel Coutinho Sousa Ferreira, Felipe Nunes Gaia, Eduardo Figueiredo, Marcelo de Almeida Maia:
On the use of feature-oriented programming for evolving software product lines - A comparative study. Sci. Comput. Program. 93: 65-85 (2014) - [j6]Felipe Nunes Gaia, Gabriel Coutinho Sousa Ferreira, Eduardo Figueiredo, Marcelo de Almeida Maia:
A quantitative and qualitative assessment of aspectual feature modules for evolving software product lines. Sci. Comput. Program. 96: 230-253 (2014) - [c43]Carlos Souza, Eduardo Figueiredo:
How do programmers use optional typing?: an empirical study. MODULARITY 2014: 109-120 - [c42]Juliana Padilha, Juliana Alves Pereira, Eduardo Figueiredo, Jussara M. Almeida, Alessandro Garcia, Cláudio Sant'Anna:
On the Effectiveness of Concern Metrics to Detect Code Smells: An Empirical Study. CAiSE 2014: 656-671 - [c41]