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  1. Proceedings of the Third International Workshop on Predictor Models in Software Engineering (PROMISE '07)
  2. Predicting Defects for Eclipse
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Adequate and Precise Evaluation of Quality Models in Software Engineering Studies
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction
Global Sensitivity Analysis of Predictor Models in Software Engineering
Make the Most of Your Time: How Should the Analyst Work with Automated Traceability Tools?
Assessing the Reliability of a Human Estimator
Decision Support Analysis for Software Effort Estimation by Analogy
Column Pruning Beats Stratification in Effort Estimation
Using Developer Information as a Factor for Fault Prediction
Predicting Defects for Eclipse
Modeling the Effect of Size on Defect Proneness for Open-Source Software
Complexity Measures for Secure Service-Oriented Software Architectures
Experiments on Design Pattern Discovery

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Predicting Defects for Eclipse

Content Provider ACM Digital Library
Author Zeller, Andreas Premraj, Rahul Zimmermann, Thomas
Abstract We have mapped defects from the bug database of Eclipse (one of the largest open-source projects) to source code locations. The resulting data set lists the number of pre- and post-release defects for every package and file in the Eclipse releases 2.0, 2.1, and 3.0. We additionally annotated the data with common complexity metrics. All data is publicly available and can serve as a benchmark for defect prediction models.
File Format PDF
ISBN 0769529542
DOI 10.1109/PROMISE.2007.10
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-05-20
Access Restriction Subscribed
Content Type Text
Resource Type Article
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