GrimoireLab

GrimoireLab aggregates, curates, and analyzes data from software repositories to enable reproducible software development analytics.

Key Features:

• Data Retrieval and Storage: Retrieves data from approximately 30 different data sources related to software development and stores the results for analysis.
• Common API Access: Exposes a unified API for programmatic access to retrieved data across components.
• Data Curation and Visualization: Provides data curation facilities and basic visualization tools for preliminary analysis and drill-down inspection.
• Semi-Structured Storage: Employs semi-structured storage formats to support flexible and reproducible dataset representation.
• Modularity: Uses a modular architecture that permits adding new data sources and analysis components.

Scientific Applications:

• Reproducible dataset generation: Supports reproduction of datasets prepared for complex analytics.
• Cross-environment validation: Has been tested in commercial, community-based, and academic environments for comparative studies.
• Automation of data processing: Automates tasks traditionally performed manually to reduce effort in conducting studies and providing services.

Methodology:

Data retrieval from diverse software repositories, semi-structured storage, data curation, unified API access, and basic visualization.