Welcome to one of the largest repositories of SE research data
The tera-PROMISE Repository is a research dataset repository specializing in software engineering research datasets. We offer free and long-term storage for your research artifacts. Learn more on our about page.
How to Reference Us:
- Menzies, T., Krishna, R., Pryor, D. (2016). The Promise Repository of Empirical Software Engineering Data; https://openscience.us/repo. North Carolina State University, Department of Computer Science bibtex.
You can view all of our datasets in the categories listed on the left and on the categories page.
Find research datasets
We have everything from McCabe & Halsted to Spreadsheets to Green Mining.
Contribute your data
Learn how to contribute your research data, whether you're a researcher or a student.
Featured dataset: EUSES
This is a large sample of spreadsheets (5607 total files, 4499 of which are unique and suitable for automated processing in Excel) that researchers can use to evaluate their methodologies and tools for creating and maintaining spreadsheets.
Latest News
June 06, 2016: The OpenScience Repository has experienced a server outage. For help, contact us at our contact form.
September 23, 2015: The tera-PROMISE team welcomes new member, David Pryor!
May 05, 2015: The tera-PROMISE frontend has been rebuilt with Bootstrap.
December 06, 2014: 80% of data migrated from Google Code site.
November 01, 2014: N.C. State approves the new repository space. One terabyte!
Most Recently Added Datasets (more here)
Use Case Points Benchmark Dataset
Analysis and selection of a regression model for the Use Case Points method using a stepwise approach
Qualitas Corpus
The Qualitas Corpus is a curated collection of software systems intended to be used for empirical studies of code artefacts.
Mutation Testing Operators
An intuitive approach to determine test adequacy in safety-critical software
RefactDataSetValidated
A Manually Validated Code Refactoring Dataset and Its Assessment Regarding Software Maintainability
Maline
Evaluation of Android Malware Detection Based on System Calls