MecoIS

1 to 6 of 21

23JUN 2026
4.3 Finished Theses
Final Thesis: Predicting Inner Source Success: A Machine Learning Approach Utilising Open Source Proxy Data
Abstract: Inner Source promises to improve collaboration and code reuse inside organisations, but many initiatives still struggle because managers lack predictive, data-driven support. Existing platforms, such as MECOIS, mainly offer descriptive views of past activity and do not help answer whether a repository is ready for Inner Source or how adoption is likely to develop. This […]
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12MAY 2026
4 Theses
Final Thesis: A Handbook for InnerSource Contribution Functions
Abstract: InnerSource refers to the adoption of open source-like practices and culture within the confines of an organization. As interest in InnerSource practices and adoption thereof grow, so do the challenges associated with them. It is important to accurately valuate InnerSource contributions to ensure the tax compliance of the organization. Especially when said contributions originate […]
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05MAY 2026
4 Theses
Final Thesis: Engineering Workflow Orchestration Interfaces: A Full-Stack Approach to Scalable Pipeline Management, Validated through User-Centered Evaluation
Abstract: As data processing pipelines grow in complexity, effective tools for monitoring and controlling their execution become increasingly important. Within the MECOIS platform, the Apache Airflow scheduler provides a user interface that is difficult for non-technical users to navigate and requires interaction through a separate interface rather than integrating into the system directly. This thesis […]Abstract: As data processing pipelines grow in complexity, effective tools for monitoring and controlling their execution become increasingly important. Within the MECOIS platform, the Apache Airflow scheduler provides a user interface that is difficult for non-technical users to navigate and requires interaction through a separate interface rather than integrating into the system directly. This thesis […]
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27APR 2026
4 Theses
Final Thesis: Estimating Software Contribution Time from Git and GitHub Metadata
Abstract: The problem of estimating the costs of a software development project has been a persistent challenge in the field. This is particularly relevant in projects developed by multiple contributors within companies (Inner Source), where costs must be allocated across multiple cost centres for management and for tax and transfer-pricing documentation. Simple proxies, such as […]
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24APR 2026
4 Theses
Final Thesis: Machine Learning for Predicting Inner Source Viability
Abstract: The adoption of inner source software development practices has grown substantially in recent years, yet organizations continue to lack data-driven instruments for assessing the viability of inner source initiatives prior to resource commitment. This thesis addresses that gap by designing, implementing, and evaluating a machine learning-based system for predicting inner source project viability. Following […]Abstract: The adoption of inner source software development practices has grown substantially in recent years, yet organizations continue to lack data-driven instruments for assessing the viability of inner source initiatives prior to resource commitment. This thesis addresses that gap by designing, implementing, and evaluating a machine learning-based system for predicting inner source project viability. Following […]
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23APR 2026
4 Theses
Final Thesis: Integrating and Evaluating a GraphQL Extraction Layer
Abstract: Software productivity metrics are indicators for software quality, development efficiency and developer satisfaction, remaining crucial to project success. The MECOIS project provides a robust solution for analyzing development data. Central to this is a data foundation, leveraging automated pipelines to extract software engineering metrics from development platforms such as GitHub. However, even though there […]Abstract: Software productivity metrics are indicators for software quality, development efficiency and developer satisfaction, remaining crucial to project success. The MECOIS project provides a robust solution for analyzing development data. Central to this is a data foundation, leveraging automated pipelines to extract software engineering metrics from development platforms such as GitHub. However, even though there […]
Read more about Final Thesis: Integrating and Evaluating a GraphQL Extraction Layer