Research

Research Profile

My research focuses on proposing, implementing and evaluating techniques that add value to software testing in modern software development catering for the challenges imposed by i) large-scale organizations and software-intensive systems, ii) a changing development environment with the introduction of novel technologies or processes, and iii) the synergies between the human testers and the automated techniques, where experience-based knowledge should co-exist with data-driven decision making.

 

For more details, please take a look at my full publication list below. 

Publications

/ 2020 /

Francisco Gomes de Oliveira Neto, Jennifer Horkoff, Richard Svensson, David Mattos, Alessia Knauss: Evaluating the Effects of Different Requirements Representations on Writing Test Cases. REFSQ 2020: 257-274.

Felix Dobslaw, Francisco Gomes de Oliveira Neto, Robert Feldt: Boundary Value Exploration for Software Analysis.

Linda Erlenhov, Francisco Gomes de Oliveira Neto, Martin Chukaleski, Samer Daknache: Challenges and guidelines on designing test cases for test bots

 

Linda Erlenhov, Francisco Gomes de Oliveira Neto, Philipp Leitner: An Empirical Study of Bots in Software Development - Characteristics and Challenges from a Practitioner's Perspective.

/ 2019 /

Francisco Gomes de Oliveira Neto, Richard Torkar, Robert Feldt, Lucas Gren, 

Carlo A. Furia, Ziwei Huang: Evolution of statistical analysis in empirical software engineering research: Current state and steps forward. J. Syst. Softw. 

156: 246-267.

Linda Erlenhov, Francisco Gomes de Oliveira Neto, Riccardo Scandariato, Philipp Leitner: Current and future bots in software development. BotSE@ICSE 2019: 

7-11. 

 

Laiz Heckmann Barbalho de Figueroa, Rema Salman, Jennifer Horkoff, Soni Chauhan, Marcela Davila, Francisco Gomes de Oliveira Neto, Alexander Schliep: A Modeling Approach for Bioinformatics Workflows. PoEM 2019: 167-183. 

 

Felix Dobslaw, Robert Feldt, David Michaëlsson, Patrick Haar, Francisco Gomes de Oliveira Neto, Richard Torkar: Estimating Return on Investment for GUI Test Automation Frameworks. ISSRE 2019: 271-282. 

 

Felix Dobslaw, Robert Feldt, David Michaelsson, Patrick Haar, Francisco Gomes de Oliveira Neto, Richard Torkar: Estimating Return on Investment for GUI Test Automation Tools.

/ 2018 /

Francisco Gomes de Oliveira Neto, Robert Feldt, Linda Erlenhov, José Benardi de Souza Nunes: Visualizing Test Diversity to Support Test Optimisation.  APSEC 2018: 

149-158.

 

Dave R. Stikkolorum, Francisco Gomes de Oliveira Neto, Michel R. V. Chaudron: Evaluating Didactic Approaches used by Teaching Assistants for Software Analysis and Design using UML. ECSEE 2018: 122-131. 

 

Robert Feldt, Francisco Gomes de Oliveira Neto, Richard Torkar: Ways of Applying Artificial Intelligence in Software Engineering. RAISE@ICSE 2018: 35-41.

 

Michael Felderer, Bogdan Marculescu, Francisco Gomes de Oliveira Neto, Robert Feldt, Richard Torkar: A Testability Analysis Framework for Non-functional Properties

ICST Workshops 2018: 54-58.

 

Francisco Gomes de Oliveira Neto, Michael Jones, Rafael da Silva Martins: Visualisation to Support Fault Localisation in Distributed Embedded Systems within the Automotive Industry. ISSRE Workshops 2018: 112-117.

/ 2017 /

Francisco Gomes de Oliveira Neto, Jennifer Horkoff, Eric Knauss, Rashidah Kasauli, Grischa Liebel: Challenges of Aligning Requirements Engineering and System Testing in Large-Scale Agile: A Multiple Case Study. RE Workshops 2017: 315-322.

 

/ 2016 /

Francisco Gomes de Oliveira Neto, Richard Torkar, Patrícia D. L. Machado: Full modification coverage through automatic similarity-based test case selection. Inf. Softw. Technol. 80: 124-137.

Iaron da Costa Araújo, Wesley Oliveira da Silva, José B. de Sousa Nunes, and Francisco Oliveira Neto: ARRESTT: A framework to create reproducible experiments to evaluate software testing techniques. ACM, 1: 1-10. 

João F. S. Ouriques, Emanuela G. Cartaxo, Patrícia D. L. Machado, Francisco G. O. Neto, and Ana E. V. B. Coutinho: On the Use of Fault Abstractions for Assessing System Test Case Prioritization Techniques. ACM, 7: 1–10.

 

 

/ 2015 /

Francisco Gomes de Oliveira Neto, Richard Torkar, Patrícia D. L. Machado:
An Initiative to Improve Reproducibility and Empirical Evaluation of Software Testing Techniques. ICSE (2) 2015: 575-578.

 

/ 2013 /

 

Francisco Gomes de Oliveira Neto, Patrícia Duarte de Lima Machado: Seleção Automática de Casos de Teste de Regressão Baseada em Similaridade e Valores. RITA 20(2): 139-154.

 

Francisco Gomes de Oliveira Neto, Robert Feldt, Richard Torkar, Patrícia D. L. Machado: Searching for models to evaluate software technology

CMSBSE@ICSE 2013: 12-15.

 

/ 2011 /

 

Emanuela Gadelha Cartaxo, Patrícia D. L. Machado, Francisco G. Oliveira Neto:
On the use of a similarity function for test case selection in the context of model-based testing. Softw. Test. Verification Reliab. 21(2): 75-100.

 

/ 2009 /

 

Francisco Gomes de Oliveira Neto, Joseana M. Fechine, Roberta Ribeiro G. Pereira:
MATRACA: a tool to provide support for people with impaired vision when using the computer for simple tasks. SAC 2009: 158-159.

 

/ 2008 /

Emanuela Gadelha Cartaxo, Wilkerson de L. Andrade, Francisco G. Oliveira Neto, Patrícia D. L. Machado: LTS-BT: a tool to generate and select functional test cases for embedded systems. SAC 2008: 1540-1544.

Francisco G. de Oliveira Neto, Emanuela G. Cartaxo, Patrıcia D.L. Machado, Joao F. S. Ouriques: Reducing the Size of Test Cases Based on Similarities. Brazilian Workshop on Systematic and Automated Software Testing (SAST) 2: 44-53.

 

/ 2007 /

Emanuela Gadelha Cartaxo, Francisco G. Oliveira Neto, Patrícia D. L. Machado: Automated Test Case Selection Based on a Similarity Function. GI Jahrestagung (2) 2007: 399-404.

 

Emanuela Gadelha Cartaxo, Francisco G. Oliveira Neto, Patrícia D. L. Machado:
Test case generation by means of UML sequence diagrams and labeled transition systems. SMC 2007: 1292-1297.