Paper | Title | Page |
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MOMPR004 | Control and Analysis Software Development at the European XFEL | 158 |
MOPHA126 | use link to see paper's listing under its alternate paper code | |
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Agile Project Management (Agile PM), coupled with the DevOps concept, has been worked out as a fundamental approach in a highly uncertain and unpredictable environment to achieve mature software development and to efficiently support concurrent operation*. At the European XFEL**, Agile PM and DevOps have been applied to provide adaptability and efficiency in the development and operation of its control system: Karabo***. In this context, the Control and Analysis Software Group (CAS) has developed in-house a management platform composed of the following macro-artefacts: (1) Agile Process; (2) Release Planning; (3) Testing Infrastructure; (4) Roll-out and Deployment Strategy; (5) Automated tools for Monitoring Control Points (i.e. Configuration Items****) and; (6) Incident Management*****. The software engineering management platform is also integrated with User Relationship Management to establish and maintain a proper feedback loop with our scientists who set up the requirements. This article aims to briefly describe the above points and show how agile project management has guided the software strategy, development and operation of the Karabo control system at the European XFEL.
*Toward Project Management 2.0 **The European X-ray Free Electron Laser technical design report ***Karabo:An integrated software framework combining control, data management, and scientific comp. |
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Poster MOMPR004 [0.871 MB] | |
DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPR004 | |
About • | paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020 | |
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TUCPR02 | Data Exploration and Analysis with Jupyter Notebooks | 799 |
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Funding: With support from EU’s H{2}020 grants 823852 (PaNOSC) and #676541 (OpenDreamKit), the Gordon and Betty Moore Foundation GBMF #4856, the EPSRC’s CDT (EP/L015382/1) and program grant (EP/N032128/1). Jupyter notebooks are executable documents that are displayed in a web browser. The notebook elements consist of human-authored contextual elements and computer code, and computer-generated output from executing the computer code. Such outputs can include tables and plots. The notebook elements can be executed interactively, and the whole notebook can be saved, re-loaded and re-executed, or converted to read-only formats such as HTML, LaTeX and PDF. Exploiting these characteristics, Jupyter notebooks can be used to improve the effectiveness of computational and data exploration, documentation, communication, reproducibility and re-usability of scientific research results. They also serve as building blocks of remote data access and analysis as is required for facilities hosting large data sets and initiatives such as the European Open Science Cloud (EOSC). In this contribution we report from our experience of using Jupyter notebooks for data analysis at research facilities, and outline opportunities and future plans. |
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Slides TUCPR02 [15.943 MB] | |
DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR02 | |
About • | paper received ※ 24 September 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020 | |
Export • | reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml) | |