SECO-Dash

Software ecosystems, intricate networks of organizations collaborating within the software and services market, have become increasingly complex and vital. Investors, scientists, and software engineers require deep insights into these ecosystems to make informed decisions. In response to this need, we present SECO-Dash, a versatile portal powered by common data science techniques. SECO-Dash offers a thematic and meta-level perspective on software ecosystems, collecting data on their status, health, and progress. One distinguishing feature is the utilization of time-based data, enabling real-time monitoring and customizable alerts. Researchers, investors, and research software engineers can leverage SECO-Dash to make informed choices in their software ecosystem endeavors.

Deliverables:

Purpose and Context: SECO-Dash, our innovative dashboard, is an open-source, adaptable tool for effectively monitoring and exploring software ecosystems. Its adaptability ensures it accommodates diversity and provides users with a comprehensive overview of the ever-evolving landscape. Given the rapid pace of change in software ecosystems, we have devised a repeatable, automated process for updating the dashboard, ensuring that the displayed data remains current and relevant, keeping pace with the dynamic nature of various software ecosystems.

Features and Functions: SECO-Dash has been meticulously designed to cater to user needs, offering a host of features and functions to enhance the software ecosystem analysis experience.

1. Automated Data Aggregation:

• SECO-Dash employs advanced data collection methods, harnessing machine learning and natural language processing techniques to systematically gather and analyze critical metrics from various projects across different platforms.
• Key metrics include project activity, contributors, technology stack, and dependencies, ensuring that SECO-Dash remains a reliable and up-to-date information hub.

2. User-Centric Interactive Interface:

• SECO-Dash prioritizes user experience with an intuitive interface and responsive design, making navigation seamless, even for newcomers to a specific ecosystem.
• Interactive elements such as dynamic graphs, adjustable filters, and real-time data updates enhance user engagement, allowing users to customize information displays to meet their unique needs.

3. Complex Data Analytic Capabilities:

• SECO-Dash empowers both researchers and practitioners with comprehensive monitoring and evaluation tools, operating at both coarse-grained and fine-grained levels.
• At a coarse-grained level, it tracks general trends and ecosystem evolution.
• At a fine-grained level, it delves into critical project specifics, including technical specifications, project activity, contributors, technology stack, requirements, and dependencies.

4. Comprehensive Classification System:

• SECO-Dash employs an advanced classification system, providing users with a detailed taxonomy, simplifying navigation, and enabling the discovery of relevant projects within the ecosystem.

Scalability and Future Prospects: SECO-Dash is poised for scalability, with the potential to extend its capabilities to various domains beyond software ecosystems. Fields such as life sciences, preventative health, and others could benefit from this versatile dashboarding solution. We are actively exploring other research communities with similar needs and intend to use this project as a source of inspiration and validation for future endeavors.

In conclusion, SECO-Dash stands as a powerful tool for gaining critical insights into software ecosystems and beyond. Its features and user-centric design make it an indispensable resource for researchers, investors, and software engineers seeking to navigate and understand the complex world of software ecosystems and beyond.

Note: This project has been sponsored by the Alliance of TU/e, WUR, UU, and UMC Utrecht (EWUU).

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Documents:

• To access the detailed Software Requirement Document (SRD) for SECO-Dash, please follow this link: SECO-Dash SRD.
• To access the SECO-Dash process documentation and gain a comprehensive understanding of its development and operation, please follow this link: SECO-Dash Process Documentation.

GitHub repository:

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Academic Partners:

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Team Members:

Publications:

• B. Tekinerdogan, Software Ecosystems for Precision Agriculture, In: Q. Zhang (Ed.) Encyclopedia of Smart Agriculture Technologies, ISBN – 978-3-030-89123-7, Springer, 2023.
• Jansen, S. (2014). Measuring the health of open source software ecosystems: Beyond the scope of project health. Information and Software Technology, 56(11), 1508-1519.