2 citations · 3 across the 2 of their papers we have counts for
4 papers
ComSum: Commit Messages Summarization and Meaning Preservation
Leshem Choshen, Idan Amit
We present ComSum, a data set of 7 million commit messages for text summarization. When documenting commits, software code changes, both a message and its summary are posted. We ga…
A Fine-grained Data Set and Analysis of Tangling in Bug Fixing Commits
Steffen Herbold, Alexander Trautsch, Benjamin Ledel +45
Context: Tangled commits are changes to software that address multiple concerns at once. For researchers interested in bugs, tangled commits mean that they actually study not only…
The Corrective Commit Probability Code Quality Metric
Idan Amit, Dror G. Feitelson
We present a code quality metric, Corrective Commit Probability (CCP), measuring the probability that a commit reflects corrective maintenance. We show that this metric agrees with…
Machine Learning in Cyber-Security - Problems, Challenges and Data Sets
Idan Amit, John Matherly, William Hewlett +3
We present cyber-security problems of high importance. We show that in order to solve these cyber-security problems, one must cope with certain machine learning challenges. We prov…