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Article Dans Une Revue IEEE Access Année : 2018

Continuous Reproducibility in GNSS Signal Processing

Résumé

This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper proposes a methodology that, leveraging on software containerization technologies and the best practices from professional software development, ensures the automated reproduction of scientific experiments involving GNSS data and software-defined GNSS receivers, including the generation of figures or tables of a research publication, while fostering scientific collaboration and contributing to mitigate the effects of software aging in mutating computer environments. In order to show a practical implementation of the proposed work flow, the authors propose a simple experiment based on a freely available open source software-defined receiver and the automation of its execution in a popular online platform.
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Dates et versions

hal-03203240 , version 1 (20-04-2021)

Identifiants

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Carles Fernández-Prades, Jordi Vilà-Valls, Javier Arribas, Antonio Ramos. Continuous Reproducibility in GNSS Signal Processing. IEEE Access, 2018, 6, pp.20451-20463. ⟨10.1109/ACCESS.2018.2822835⟩. ⟨hal-03203240⟩
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