Published January 1, 2022 | Version v1
Conference paper Open

Multidimensional Framework for Characterizing Verification and Validation of Automated Systems

  • 1. Mondragon Univ, Arrasate Mondragon, Spain
  • 2. Eskisehir Osmangazi Univ, Odunpazari, Turkey
  • 3. Intecs Solut Spa, Naples, Italy
  • 4. Univ Castilla La Mancha, Ciudad Real, Spain
  • 5. RISE Res Inst Sweden, Stockholm, Sweden
  • 6. Univ Coimbra, Coimbra, Portugal
  • 7. Fdn Bruno Kessler, Povo, Italy
  • 8. IMTGD, Bangkok, Thailand

Description

Verification and Validation (V&V) of automated systems is becoming more costly and time-consuming because of the increasing size and complexity of these systems. Moreover, V&V of these systems can be hindered if the methods and processes are not properly described, analysed, and selected. It is essential that practitioners use suitable V&V methods and enact adequate V&V processes to confirm that these systems work as intended and in a cost-effective manner. Previous works have created different taxonomies and models considering different aspects of V&V that can be used to classify V&V methods and tools. The aim of this work is to provide a broad, comprehensive and a easy to use framework that addresses characterisation needs, rather than focusing on individual aspects of V&V methods and processes.To this end, in this paper, we present a multi-domain and multi-dimensional framework to characterize and classify V&V methods and tools in a structured way. The framework considers a comprehensive characterization of different relevant aspects of V&V. A web-based repository has been implemented on the basis of the framework, as an example of use, in order to collect information about the application of V&V methods and tools. This way, practitioners and researchers can easily learn about and identify suitable V&V processes.

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