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20182025
most citedDetecting and Characterizing Bots that Commit Code

73 citations · 290 across the 34 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 2 cited

An Analytical Workflow for Clustering Forensic Images

Sara Mousavi, Dylan Lee, Tatianna Griffin +2

Large collections of images, if curated, drastically contribute to the quality of research in many domains. Unsupervised clustering is an intuitive, yet effective step towards cura…

cs.SE2019★ 2 cited

A Methodology for Analyzing Uptake of Software Technologies Among Developers

Yuxing Ma, Audris Mockus, Beth Milhollin +3

Motivation: The question of what combination of attributes drives the adoption of a particular software technology is critical to developers. It determines both those technologies…

cs.SE2019

Patterns of Effort Contribution and Demand and User Classification based on Participation Patterns in NPM Ecosystem

Tapajit Dey, Yuxing Ma, Audris Mockus

Background: Open source requires participation of volunteer and commercial developers (users) in order to deliver functional high-quality components. Developers both contribute eff…

cs.CV2019

Machine-assisted annotation of forensic imagery

Sara Mousavi, Ramin Nabati, Megan Kleeschulte +1

Image collections, if critical aspects of image content are exposed, can spur research and practical applications in many domains. Supervised machine learning may be the only feasi…

cs.SE2019★ 4 cited

ALFAA: Active Learning Fingerprint Based Anti-Aliasing for Correcting Developer Identity Errors in Version Control Data

Sadika Amreen, Audris Mockus, Chris Bogart +2

Graphs of developer networks are important for software engineering research and practice. For these graphs to realistically represent the networks, accurate developer identities a…