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Auflistung nach Schlagwort "open source"

1 - 4 von 4
  • Konferenzbeitrag
    A data quality assessment tool for agricultural structured data as support for smart farming
    (43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 2023) Schroth, Christof; Kelbert, Patricia; Vollmer, Anna Maria
    In the field of precision farming or smart farming, more and more sensors are used and produce a massive amount of data. Examples are machinery, weather stations, or georeferenced data, which can be used, among other things, by Artificial Intelligence decision support systems to improve or facilitate farmers’ daily work tasks. Even if there are no issues in transferring (Internet of Things) sensor data from machines to farm management information systems, data still contain errors such as missing, implausible, or incorrect data values. In this paper, we present an automated data quality assessment (DQA) tool based on the ISO25012 standard. We describe the process of how we developed this tool with support from practitioners who produce agricultural data in the context of the EU Horizon 2020 project DEMETER. Additionally, we highlight some of the requirements we collected for such a tool and briefly discuss how we addressed them. For example, we learned that in the context of developing smart farming services, the data quality dimensions Accuracy, Completeness, Consistency, and Credibility are the most important ones for practitioners such as farmers, digital service providers, or machine suppliers. Therefore, we included them in the DQA tool and implemented it in Python. It is released under the open-source Apache 2 license. Individual parameters can be provided as input for calculations (e.g., thresholds or time lengths) to meet different users’ needs. The output of the DQA is provided in machine-readable JSON format and can be used for further analysis, e.g., to improve the quality of the data collection or the follow-up data analysis. This can help practitioners develop more valuable smart farming services.
  • Konferenzbeitrag
    Dynamic indoor navigation and orientation system for people with impairments
    (Mensch und Computer 2020 - Tagungsband, 2020) Richter, Julia; Lorenz, Jeanine; Costantino, Maria; Traubinger, Verena; Tauchmann, Nico; Graichen, Thomas; Heinkel, Ulrich
    Assistive technologies play an important role on the way to an inclusive society. At this point, mobile indoor navigation for persons with impairments is a task far from being solved. Existing studies mainly focus on outdoor navigation, are closed source and closed data or are aimed at one single target group only, and consequently represent isolated solutions. Therefore, this study reports a design for an indoor navigation system for persons with different impairments, following the idea of open source and open data to facilitate a long-term and sustainable solution everyone can contribute to. The proposed system components are discussed, which include novel indoor mapping methodologies, user profile-specific indoor extensions for routing, navigation instructions and rendering, as well as an accurate technology for indoor positioning. Both modularity of the proposed system as well as the design-for-all approach allow, for the first time, the general application of mobile navigation addressing a variety of impairments.
  • Konferenzbeitrag
    Inner Source in Platform-based Product Engineering
    (Software Engineering und Software Management 2018, 2018) Riehle, Dirk; Capraro, Maximilian; Kips, Detlef; Horn, Lars
    Die vorzustellende Veröffentlichung wurde in IEEE Transactions on Software Engineering vol. 42, no. 12 (December 2016), 1162-1177, veröffentlicht. Der Titel lautet Inner Source in Platform-Based Product Engineering. Es folgt der Artikel-Abstract: Inner source is an approach to collaboration across intra-organizational boundaries for the creation of shared reusable assets. Prior project reports on inner source suggest improved code reuse and better knowledge sharing. Using a multiple-case case study research approach, we analyze the problems that three major software development organizations were facing in their product line engineering efforts. We find that a root cause, the separation of product units as profit centers from a platform organization as a cost center, leads to delayed deliveries, increased defect rates, and redundant software components. All three organizations assume that inner source can help solve these problems. The article analyzes the expectations that these companies were having towards inner source and the problems they were experiencing in its adoption. Finally, the article presents our conclusions on how these organizations should adapt their existing engineering efforts.
  • Konferenzbeitrag
    Model-Driven Software Engineering in the openETCS Project: Project Experiences and Lessons Learned
    (Software Engineering 2017, 2017) Karg, Stefan; Raschke, Alexander; Tichy, Matthias; Liebel, Grischa
    Model-driven software engineering in industrial practice has been the focus of different empirical studies and experience reports. Particularly, positive effects of model-driven software en- gineering have been reported in the domain of embedded and safety-critical systems. We report in this paper on the experiences of the openETCS European research project whose goal was to formal- ize the System Requirements Specification and to develop an open source reference implementation of the European Train Control System including open source modeling tools. Furthermore, we will discuss lessons learned, e.g., about using open source modeling toolchains in safety-critical contexts and about using the SCADE Suite for the development of the safety-critical parts.