The \{PROMISE\} Repository of Software Engineering Databases.

By J. S. Shirabad, Tim Menzies. 2005

489 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c50bb783b466f0a32f1c70a0d2398549690ee2d7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Stefan Lessmann
2. C. Mues
3. Bart Baesens
4. Swantje Pietsch
5. David Martens
6. Chakkrit Kla Tantithamthavorn
7. Emilio Carrizosa
8. Wouter Verbeke

Citations in the corpus

• Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings (2008, methodology): “…we propose a framework for organizing comparative classification experiments in software defect prediction and conduct a large-scale benchmark of 22 different classification models over 10 public-domain data sets from the NASA Metrics Data (MDP) repository [10] and the PROMISE repository [56].”
• A systematic review of software fault prediction studies (2009, methodology): “PROMISE repository includes a collection of public datasets to build repeatable, refutable and verifiable models of software engineering and it was inspired by UCI Machine Learning Repository which is widely used by researchers in Machine Learning area (Sayyad & Menzies, 2005). ll rights reserved.”