2014/05/12 by Alessio Venticinque, Nicola Mazzocca, Venticinque, Alessio +5
Computer Science · Engineering · #FOS: Computer and information sciences #Safety Systems Engineering in Autonomy #Software Engineering (cs.SE) #Software Reliability and Analysis Research #Software Testing and Debugging Techniques #cs.SE
paper · pdf · doi:10.48550/arxiv.1405.2986
EDCC-2014, BIG4CIP-2014, Embedded systems, testing, semantic discovery, ontology, big data
arxiv created 2014/05/12 · openalex publication_date 2014/05/12 · arxiv updated 2014/05/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Testing is a relevant activity for the development life-cycle of Safety Critical Embedded systems. In particular, much effort is spent for analysis and classification of test logs from SCADA subsystems, especially when failures occur. The human expertise is needful to understand the reasons of failures, for tracing back the errors, as well as to understand which requirements are affected by errors and which ones will be affected by eventual changes in the system design. Semantic techniques and full text search are used to support human experts for the analysis and classification of test logs, in order to speedup and improve the diagnosis phase. Moreover, retrieval of tests and requirements, which can be related to the current failure, is supported in order to allow the discovery of available alternatives and solutions for a better and faster investigation of the problem.