activity
20202024
most citedMore Effective Software Repository Mining

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2024

Semantically Aligned Question and Code Generation for Automated Insight Generation

Ananya Singha, Bhavya Chopra, Anirudh Khatry +6

Automated insight generation is a common tactic for helping knowledge workers, such as data scientists, to quickly understand the potential value of new and unfamiliar data. Unfort…

cs.SE2022

How are Software Repositories Mined? A Systematic Literature Review of Workflows, Methodologies, Reproducibility, and Tools

Adam Tutko, Austin Z. Henley, Audris Mockus

With the advent of open source software, a veritable treasure trove of previously proprietary software development data was made available. This opened the field of empirical softw…

cs.SE2021

An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior

Austin Z. Henley, Julian Ball, Benjamin Klein +2

Novice programmers face numerous barriers while attempting to learn how to code that may deter them from pursuing a computer science degree or career in software development. In th…

cs.SE2020

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…

cs.SE20201 cited

More Effective Software Repository Mining

Adam Tutko, Austin Henley, Audris Mockus

Background: Data mining and analyzing of public Git software repositories is a growing research field. The tools used for studies that investigate a single project or a group of pr…