Search Results for author:
Found 7 papers, 6 papers with code
A Large Scale Survey of Motivation in Software Development and Analysis of its Validity
In addition, improvement analysis shows that an increase in most motivators predicts an increase in general motivation.
End to End Software Engineering Research
End to end learning is machine learning starting in raw data and predicting a desired concept, with all steps done automatically.
ComSum: Commit Messages Summarization and Meaning Preservation
We present ComSum, a data set of 7 million commit messages for text summarization.
Follow Your Nose -- Which Code Smells are Worth Chasing?
Out of 151 code smells computed by the CheckStyle smell detector, less than 20% were found to be potentially causal, and only a handful are rather robust.
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
Methods: We use a crowd sourcing approach for manual labeling to validate which changes contribute to bug fixes for each line in bug fixing commits.
Software Engineering
The Corrective Commit Probability Code Quality Metric
We present a code quality metric, Corrective Commit Probability (CCP), measuring the probability that a commit reflects corrective maintenance.
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
We present cyber-security problems of high importance.
