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Auflistung nach Schlagwort "API"

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  • Zeitschriftenartikel
    Big Public Data aus dem Programmable Web: Chancen und Herausforderungen
    (HMD Praxis der Wirtschaftsinformatik: Vol. 56, No. 5, 2019) Matter, Ulrich
    Die Verbreitung des Internets, die zunehmende Digitalisierung in der öffentlichen Verwaltung und Politik, sowie die Entfaltung der Civic Technology Bewegung haben über die letzten Jahre zu einer starken Zunahme an hochdetaillierten digitalen Datenbeständen über politische Akteure und Prozesse geführt. Diese big public data werden oft über programmatische Schnittstellen (Web application programming interfaces; programmable Web) verbreitet, um die Einbettung der Daten in anderen Webanwendungen zu vereinfachen und somit ein möglichst großes Publikum zu erreichen. Die Analyse dieser Daten für wissenschaftliche Zwecke in der politischen Ökonomie und Politologie ist vielversprechend, setzt jedoch die Implementierung einer data pipeline zur systematischen Beschaffung und Aufbereitung von Daten aus dem programmable Web voraus. Dieser Artikel diskutiert die Chancen und Herausforderungen der praktischen Nutzung dieser Datenbestände für die empirische Forschung und zeigt anhand einer Fallstudie ein mögliches Vorgehen zur systematischen Analyse von big public data aus dem programmable Web auf. The diffusion of the Internet, the increasing digitization in public service and politics, as well as the evolvement of the civic technology movement have led to a sharp increase in highly granular digital data on political officials und political processes. These big public data are typically distributed in various data formats via so-called Web application programming interfaces in order to facilitate the embedding of these data in web applications with the aim of reaching a large audience. The analysis of these data for research in political economics and political science is very promising. Yet, conducting such analyses efficiently, presupposes the implementation of a data pipeline to systematically collect und combine data from programmable Web sources. This article discusses the opportunities and challenges for the practical exploitation of these new data sources for social-science research. A case study in the context of research on religion in US Politics illustrates an approach to systematically collect and analyse big public data based on the programmable Web.
  • Konferenzbeitrag
    A Context Map as the Basis for a Microservice Architecture for the Connected Car Domain
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, 2019) Abeck, Sebastian; Schneider, Michael; Quirmbach, Jan-Philip; Klarl, Heiko; Urbaczek, Christof; Zogaj, Shkodran
    In the near future cars will have two properties: They will be electrically powered and they will be connected to the Internet. Such cars will provide a huge amount of sensor data which can be accessed via web APIs in order to develop innovative connected car applications, such as traffic control, hazard warning, assisted or even autonomous driving. However, current software solutions in this field are mainly monoliths solving single problems in an isolated way. Therefore, we propose a systematic approach by which each single connected car application becomes part of a microservice architecture. This approach requires a sound and well-elaborated domain model from which the microservices' APIs and implementation of the applications can be systematically derived. The main contribution of this paper is a context map for the connected car domain. We demonstrate a structured software development approach with the example of a mobile application, the Electric Car Charger, by showing how this application is integrated into the context map and, thus, into a connected car microservice architecture.
  • Konferenzbeitrag
    Improving API Design Skills with the API Design Fest
    Röll, Achim; Bonorden, Leif
    APIs should be stable and demand a careful evolution, which requires a good initial design. Such API design skills usually come from experience, but the API Design Fest intends to compress such experience into a dense course. While the original training event was intended for practitioners, we are interested in the applicability in software engineering education. Thus, we conducted a slightly adopted API Design Fest with students and report on initial insights. While we find the overall event and its API design activities suitable, we recommend extended preparation on breaking changes for future API Design Fests with students.
  • Konferenzbeitrag
    Smart Contract based API usage tracking on the Ethereum Blockchain
    (Software Engineering und Software Management 2018, 2018) Holl, Patrick; Scepankova, Elena; Matthes, Florian
    API service providers usually charge their customers based on internally kept usage protocols. The whole process is highly intransparent for consumers because they are dependent on the providers’ honesty. Using smart contracts on the Ethereum blockchain to log API usage creates an immutable and trustless single source of truth between consumers and providers. Leveraging the blockchain makes the whole process of API usage logging more transparent and comprehensible.
  • Konferenzbeitrag
    Transmitting ePortfolio Content for (AI) Analysis
    (Proceedings of DELFI Workshops 2024, 2024) Hoeppner, Kristina; Lyon, Robert; Gantikow, Alexander; Libbrecht, Paul
    The world of artificial intelligence (AI) tools is exploding and every day a new tool shows up, but equally, many drop off and are never heard of again. This poses a risk to organisations that want to integrate AI meaningfully into their portfolio work because there could ultimately be a lot of change very rapidly. Therefore, in this workshop, we want to initiate a discussion what a technical interface may look like between a portfolio platform and systems that can analyse portfolio content such as those powered by AI. The ultimate goal would be to define a standard of a data-space for ePortfolios that could be used by different providers to easily connect their AI platform to their portfolio platform. Please follow the invitation.
  • Konferenzbeitrag
    Understanding the Purpose of Source-Code Scopes Based on API Classifications
    Seifer, Philipp; Gorjatschev, Katharina; Lämmel, Ralf
    API classifications can give semantic hints regarding the purpose of source-code scopes. In this extended abstract, we present a number of research challenges related to comprehending the purpose of source code utilizing API classifications. We demonstrate preliminary work on applying Maven metadata (e.g., MCR categories) to different scopes in source code and detecting implications between combined usage of APIs; we visualize results as colored treemaps.