Mutation testing applied to virtual reality environments modeled with scene graph

• Grant number: 17/19492-1
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: January 01, 2018
• End date: December 31, 2021
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Márcio Eduardo Delamaro
• Grantee: Stevão Alves de Andrade
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Applications that uses virtual reality resources or functionality gained popularity due to the vast field of use. It aims to provide the feeling of immersion in the environment, rather than a limited area, such as the simple representation on the screen of a monitor. Despite the benefits that maybe achieved with virtual reality softwares, its implementation mechanisms represent new potential sources of faults that should be handled during the testing phase. In general, the development of this kind of application does not include a systematic software testing process that consider particularities of that application domain. Due to this, most part of the tests developed in the testing phase is fulfilled manually or with ad-hoc approaches. Mutation testing is a widely investigated fault-based test criterion that can help to demonstrate the absence of prespecified faults in the software. However, to date, do not exist initiatives to customizing mutation testing for virtual reality domain. This project tackles these limitations by propose a comprehensive mutation-based testing approach for virtual reality context considering specific types of simulated faults and the need of adequate tool support and proper evaluation. To achieve this goal, it's intended to define a specific fault taxonomy, such taxonomy should be used as base in order to define a mutation-based testing approach. To validate the approach we will perform a wide range of experiments, which will address comparative studies regarding the effectiveness of the proposed approach to detect faults. (AU)

Scientific publications

(8)

(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)

DELAMARO, MARCIO E.; ANDRADE, STEVAO A.; DE SOUZA, SIMONE R. S.; DE SOUZA, PAULO S. L.. Parallel Execution of Programs as a Support for Mutation Testing: A Replication Study. INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, v. 31, n. 03, p. 44-pg., 2021-03-01. (17/19492-1, 13/16242-3, 19/06937-0)

JUNIOR, MISAEL C.; AMALFITANO, DOMENICO; GARCES, LINA; FASOLINO, ANNA RITA; ANDRADE, STEVAO A.; DELAMARO, MARCIO. Dynamic Testing Techniques of Non-functional Requirements in Mobile Apps: A Systematic Mapping Study. ACM COMPUTING SURVEYS, v. 54, n. 10S, p. 38-pg., 2022-01-01. (17/19492-1)

ANDRADE, STEVAO A.; BRITO JUNIOR, CLAUDINEI; JUNIOR, MISAEL; MARCIEL, ANA CLAUDIA; ABDALLA, GABRIEL; DELAMARO, MARCIO E.; ACM. Analyzing the effectiveness of One-Op Mutation against the minimal set of mutants. SAST 2019: PROCEEDINGS OF THE IV BRAZILIAN SYMPOSIUM ON SYSTEMATIC AND AUTOMATED SOFTWARE TESTING, v. N/A, p. 10-pg., 2019-01-01. (17/19492-1)

ANDRADE, STEVAO A.; NUNES, FATIMA L. S.; DELAMARO, MARCIO E.; IEEE. Towards the Systematic Testing of Virtual Reality Programs. 2019 21ST SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY (SVR 2019), v. N/A, p. 10-pg., 2019-01-01. (17/19492-1)

SANTOS, SEBASTIAO H. N.; CARVALHO DA SILVEIRA, BEATRIZ NOGUEIRA; ANDRADE, STEVAO A.; DELAMARO, MARCIO; SOUZA, SIMONE R. S.. An Experimental Study on Applying Metamorphic Testing in Machine Learning Applications. PROCEEDINGS OF THE 5TH BRAZILIAN SYMPOSIUM ON SYSTEMATIC AND AUTOMATED SOFTWARE TESTING, SAST 2020, v. N/A, p. 9-pg., 2020-01-01. (17/19492-1, 19/06937-0)

ANDRADE, STEVAO A.; QUEVEDO, ALVARO JOFFRE U.; NUNES, FATIMA L. S.; DELAMARO, MARCIO E.; IEEE. Understanding VR Software Testing Needs from Stakeholders' Points of View. 2020 22ND SYMPOSIUM ON VIRTUAL AND AUGMENTED REALITY (SVR 2020), v. N/A, p. 10-pg., 2020-01-01. (17/19492-1, 19/06937-0)

DE ANDRADE, STEVAO ALVES; NEVES, VANIA DE OLIVEIRA; DELAMARO, MARCIO EDUARDO. Software Testing Education: dreams and challenges when bringing academia and industry closer together. PROCEEDINGS OF THE XXXIII BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING, SBES 2019, v. N/A, p. 10-pg., 2019-01-01. (17/19492-1)

ANDRADE, STEVAO; SANTOS, ITALO; BRITO JUNIOR, CLAUDINEI; JUNIOR, MISAEL; DE SOUZA, SIMONE R. S.; DELAMARO, MARCIO E.; IEEE. On Applying Metamorphic Testing: An Empirical Study On Academic Search Engines. 2019 IEEE/ACM 4TH INTERNATIONAL WORKSHOP ON METAMORPHIC TESTING (MET 2019), v. N/A, p. 8-pg., 2019-01-01. (17/19492-1, 18/10183-9)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

ANDRADE, Stevão Alves de. A software testing approach to virtual reality applications using metamorphic testing. 2022. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.