Awesome Empirical Software Engineering

URL: https://github.com/dspinellis/awesome-msr#readme
Category: Themed Directories
Tags: software, research, awesome-lists

Overview

Awesome Empirical Software Engineering is a curated GitHub repository collecting datasets and tools for evidence-based, data-driven research on software systems. It focuses on empirical / experimental software engineering and mining software repositories (MSR), and is also useful for search-based software engineering research.

Features

• Curated collection of datasets

  • Datasets suitable for empirical studies on software projects and systems.
  • Many datasets tailored for mining software repositories (MSR) research.
  • Datasets that can also be reused for search-based software engineering.

• Catalog of research tools

  • Tools that support data-driven analysis of software systems.
  • Utilities for working with and mining software repositories.

• Focus on empirical / experimental software engineering

  • Emphasizes evidence-based research practices.
  • Targets studies relying on real project data and repositories.

• Research-oriented organization

  • Structured as an "awesome" list for easy browsing and discovery.
  • Includes repository metadata such as license, contributing guidelines, and code of conduct for community contributions.

Audience

• Researchers in empirical software engineering and MSR.
• Practitioners and students needing real-world software datasets.
• Developers exploring tools and resources for data-driven software research.

Pricing

• Not a commercial product; this is an open GitHub repository.
• Access to the list and linked resources is free (subject to the licenses of individual datasets/tools).