XIVT: eXcellence In Variant Testing

From Navigators

Revision as of 02:20, 10 February 2019

https://www.xivt.org/

• Research Line(s): Fault and Intrusion Tolerance in Open Distributed Systems (FIT)
• Sponsor: P2020
• Project Number: 17039 XIVT
• Coordinator: Bombardier, Sweden
• Partners: 24 partners from Canada, Germany, Portugal, Sweden, and Turkey
• Start Date: Nov. 2018
• Duration: 36 months
• Keywords: software testing, security, variant testing
• Team at FCUL: Researchers including Ibéria Medeiros, Nuno Ferreira Neves, António Casimiro, Francisco Araujo, Ana Fidalgo

Within the XIVT project, a method and toolchain will be defined for testing highly configurable, variant-rich embedded systems in the automotive, rail, telecommunication and industrial production domains. This will enable a highly effective, cost-efficient quality assurance, allowing the shift to autonomous, flexible and adaptive applications. The method is founded on a knowledge-based analysis of requirements formulated in natural language, and a model-based test generation at product-line level. It is expected that XIVT methods will result in higher test coverage, more flexible processes of higher quality and better products.

Publications

• João Inácio, Ibéria Medeiros, “Effectiveness on C Flaws Checking and Removal (fast abstract)”, in In Proceedings of the 52nd IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'22), Jun. 2022.

• Claudio Martins, Ibéria Medeiros, “Generating Quality Threat Intelligence Leveraging OSINT and a Cyber Threat Unified Taxonomy”, ACM Transactions on Privacy and Security, vol. 25-3, no. 19, May 2022.

• João Inácio, “Automatic Removal of Flaws in Embedded System Software”, Master’s thesis, Mestrado em Segurança Informática, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, May 2022.

• Vasco Leitão, “Prioritization of Software and System Requirements through Natural Language Processing for Testing Software”, Master’s thesis, Mestrado em Ciência em Dados, Nov. 2021.

• Vasco Leitão, Ibéria Medeiros, “SRXCRM: Discovering Association Rules Between System Requirements and Product Specifications”, in In Proceedings of the International Workshop on Natural Language Processing for Requirements Engineering (NLP4RE), Apr. 2021.

• Ana Fidalgo, “Detecting Web Vulnerabilities in an Intermediate Language Resorting of Machine Learning Techniques”, Master’s thesis, Mestrado em Ciência em Dados, Nov. 2020.

• Francisco Araujo, Ibéria Medeiros, Nuno Ferreira Neves, “Generating Tests for the Discovery of Security Flaws in Product Variants”, in In Proceedings of the International Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS), Oct. 2020.

• Ana Fidalgo, Ibéria Medeiros, Nuno Ferreira Neves, “Towards a Deep Learning Model for Vulnerability Detection on Web Application Variants”, in In Proceedings of the Workshop on Testing of Configurable and Multi-variant Systems (ToCaMS), Oct. 2020.

• Francisco Araujo, “Generating software tests to check for flaws and functionalities”, Master’s thesis, Mestrado em Engenharia Informática, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, Sept. 2019.

BibTeX