7 citations · 17 across the 6 of their papers we have counts for
9 papers
Processing Large Datasets of Fined Grained Source Code Changes
Stanislav Levin, Amiram Yehudai
In the era of Big Code, when researchers seek to study an increasingly large number of repositories to support their findings, the data processing stage may require manipulating mi…
Visually Exploring Software Maintenance Activities
Stanislav Levin, Amiram Yehudai
Lehman's Laws teach us that a software system will become progressively less satisfying to its users over time, unless it is continually adapted to meet new needs. A line of previo…
Towards Software Analytics: Modeling Maintenance Activities
Stanislav Levin, Amiram Yehudai
Lehman's Laws teach us that a software system will become progressively less satisfying to its users over time, unless it is continually adapted to meet new needs. Understanding so…
Boosting Automatic Commit Classification Into Maintenance Activities By Utilizing Source Code Changes
Stanislav Levin, Amiram Yehudai
Background: Understanding maintenance activities performed in a source code repository could help practitioners reduce uncertainty and improve cost-effectiveness by planning ahead…
The Co-Evolution of Test Maintenance and Code Maintenance through the lens of Fine-Grained Semantic Changes
Stanislav Levin, Amiram Yehudai
Automatic testing is a widely adopted technique for improving software quality. Software developers add, remove and update test methods and test classes as part of the software dev…
Using Temporal and Semantic Developer-Level Information to Predict Maintenance Activity Profiles
Stanislav Levin, Amiram Yehudai
Predictive models for software projects' characteristics have been traditionally based on project-level metrics, employing only little developer-level information, or none at all.…