Mitchell Joblin
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View article: Is perceived gender related to contributions and standing in open-source software projects?
Is perceived gender related to contributions and standing in open-source software projects? Open
To date, the percentage of female developers that actively contribute to open-source software (OSS) projects is less than 10%. In recent years, researchers started searching for reasons for this imbalance. A question that arises in this sp…
View article: Automatic Core-Developer Identification on GitHub: A Validation Study
Automatic Core-Developer Identification on GitHub: A Validation Study Open
Many open-source software projects are self-organized and do not maintain official lists with information on developer roles. So, knowing which developers take core and maintainer roles is, despite being relevant, often tacit knowledge. We…
View article: Supplementary Website, Data, and Scripts for the Paper "Automatic Core-Developer Identification on GitHub: A Validation Study"
Supplementary Website, Data, and Scripts for the Paper "Automatic Core-Developer Identification on GitHub: A Validation Study" Open
Supplementary website containing result plots, pseudonymized input data, resulting pseudonymized classification data, analysis scripts, and Dockerfile used to produce the results of the paper "Automatic Core-Developer Identification on Git…
View article: Supplementary Website, Data, and Scripts for the Paper "Automatic Core-Developer Identification on GitHub: A Validation Study"
Supplementary Website, Data, and Scripts for the Paper "Automatic Core-Developer Identification on GitHub: A Validation Study" Open
Supplementary website containing result plots, pseudonymized input data, resulting pseudonymized classification data, analysis scripts, and Dockerfile used to produce the results of the paper "Automatic Core-Developer Identification on Git…
View article: Pseudonymized Raw Data for "Automatic Core-Developer Identification on GitHub: A Validation Study"
Pseudonymized Raw Data for "Automatic Core-Developer Identification on GitHub: A Validation Study" Open
Pseudonymized raw data (i.e., commit data and issue data for 25 GitHub projects) that has been used as input for the study published as "Automatic Core-Developer Identification on GitHub: A Validation Study". The pseudonymized raw data has…
View article: Resulting Pseudonymized Classification Data for "Automatic Core-Developer Identification on GitHub: A Validation Study"
Resulting Pseudonymized Classification Data for "Automatic Core-Developer Identification on GitHub: A Validation Study" Open
Resulting pseudonymized classification data of the study "Automatic Core-Developer Identification on GitHub: A Validation Study". The corresponding input data, from which the output data have been derived, can be found here: https://zenodo…
View article: Pseudonymized Raw Data for "Automatic Core-Developer Identification on GitHub: A Validation Study"
Pseudonymized Raw Data for "Automatic Core-Developer Identification on GitHub: A Validation Study" Open
Pseudonymized raw data (i.e., commit data and issue data for 25 GitHub projects) that has been used as input for the study published as "Automatic Core-Developer Identification on GitHub: A Validation Study". The pseudonymized raw data has…
View article: Resulting Pseudonymized Classification Data for "Automatic Core-Developer Identification on GitHub: A Validation Study"
Resulting Pseudonymized Classification Data for "Automatic Core-Developer Identification on GitHub: A Validation Study" Open
Resulting pseudonymized classification data of the study "Automatic Core-Developer Identification on GitHub: A Validation Study". The corresponding input data, from which the output data have been derived, can be found here: https://zenodo…
View article: Speos: An ensemble graph representation learning framework to predict core genes for complex diseases
Speos: An ensemble graph representation learning framework to predict core genes for complex diseases Open
Understanding phenotype-to-genotype relationships is a grand challenge of 21st century biology with translational implications. The recently proposed “omnigenic” model postulates that effects of genetic variation on traits are mediated by …
View article: Hierarchical and Hybrid Organizational Structures in Open-source Software Projects: A Longitudinal Study
Hierarchical and Hybrid Organizational Structures in Open-source Software Projects: A Longitudinal Study Open
Despite the absence of a formal process and a central command-and-control structure, developer organization in open-source software (OSS) projects are far from being a purely random process. Prior work indicates that, over time, highly suc…
View article: Supplementary Website, Data, and Scripts for the Paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study"
Supplementary Website, Data, and Scripts for the Paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study" Open
Supplementary website containing result plots and data, anonymized raw data, and scripts used to produce the results of the paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study".
View article: Supplementary Website, Data, and Scripts for the Paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study"
Supplementary Website, Data, and Scripts for the Paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study" Open
Supplementary website containing result plots and data, anonymized raw data, and scripts used to produce the results of the paper "Hierarchical and Hybrid Organizational Structures in Open-Source Software Projects: A Longitudinal Study".
View article: TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs Open
Conventional static knowledge graphs model entities in relational data as nodes, connected by edges of specific relation types. However, information and knowledge evolve continuously, and temporal dynamics emerge, which are expected to inf…
View article: On Calibration of Graph Neural Networks for Node Classification
On Calibration of Graph Neural Networks for Node Classification Open
Graphs can model real-world, complex systems by representing entities and their interactions in terms of nodes and edges. To better exploit the graph structure, graph neural networks have been developed, which learn entity and edge embeddi…
View article: Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining Open
Model transformations play a fundamental role in model-driven software development. They can be used to solve or support central tasks, such as creating models, handling model co-evolution, and model merging. In the past, various (semi-)au…
View article: TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs Open
Conventional static knowledge graphs model entities in relational data as nodes, connected by edges of specific relation types. However, information and knowledge evolve continuously, and temporal dynamics emerge, which are expected to inf…
View article: Combining Sub-Symbolic and Symbolic Methods for Explainability
Combining Sub-Symbolic and Symbolic Methods for Explainability Open
Similarly to other connectionist models, Graph Neural Networks (GNNs) lack transparency in their decision-making. A number of sub-symbolic approaches have been developed to provide insights into the GNN decision making process. These are f…
View article: Generating Table Vector Representations
Generating Table Vector Representations Open
High-quality Web tables are rich sources of information that can be used to populate Knowledge Graphs (KG). The focus of this paper is an evaluation of methods for table-to-class annotation, which is a sub-task of Table Interpretation (TI)…
View article: Power to the Relational Inductive Bias
Power to the Relational Inductive Bias Open
The application of graph neural networks (GNNs) to the domain of electrical power grids has high potential impact on smart grid monitoring. Even though there is a natural correspondence of power flow to message-passing in GNNs, their perfo…
View article: Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts
Data-Powered Positive Deviance during the SARS-CoV-2 Pandemic—An Ecological Pilot Study of German Districts Open
We introduced the mixed-methods Data-Powered Positive Deviance (DPPD) framework as a potential addition to the set of tools used to search for effective response strategies against the SARS-CoV-2 pandemic. For this purpose, we conducted a …
View article: Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids Open
The application of graph neural networks (GNNs) to the domain of electrical power grids has high potential impact on smart grid monitoring. Even though there is a natural correspondence of power flow to message-passing in GNNs, their perfo…
View article: Task-Driven Knowledge Graph Filtering Improves Prioritizing Drugs for Repurposing
Task-Driven Knowledge Graph Filtering Improves Prioritizing Drugs for Repurposing Open
Background Drug repurposing aims at finding new targets for already developed drugs. It becomes more relevant as the cost of discovering new drugs steadily increases. To find new potential targets for a drug, an abundance of methods and ex…
View article: Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining
Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining Open
Model transformations play a fundamental role in model-driven software development. They can be used to solve or support central tasks, such as creating models, handling model co-evolution, and model merging. In the past, various (semi-)au…
View article: In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study Open
We report on a large-scale empirical study investigating the relevance of socio-technical congruence over key basic software quality metrics, namely, bugs and churn. In particular, we explore whether alignment or misalignment of social com…
View article: In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study Open
We report on a large-scale empirical study investigating the relevance of socio-technical congruence over key basic software quality metrics, namely, bugs and churn. In particular, we explore whether alignment or misalignment of social com…
View article: In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study
In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study Open
Archive of the accompanying website including all datasets for "In Search of Socio-Technical Congruence: A Large-Scale Longitudinal Study" (IEEE Transactions on Software Engineering)