activity
20172021
most citedThe Impact of Automated Parameter Optimization on Defect Prediction Models

28 citations · 48 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE202119 cited

Code Reviews with Divergent Review Scores: An Empirical Study of the OpenStack and Qt Communities

Toshiki Hirao, Shane McIntosh, Akinori Ihara +1

Code review is a broadly adopted software quality practice where developers critique each others' patches. In addition to providing constructive feedback, reviewers may provide a s…

cs.SE20211 cited

Assessing the Exposure of Software Changes: The DiPiDi Approach

Mehran Meidani, Maxime Lamothe, Shane McIntosh

Context: Changing a software application with many build-time configuration settings may introduce unexpected side-effects. For example, a change intended to be specific to a platf…

cs.SE2021

Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems

Tao Xiao, Dong Wang, Shane McIntosh +4

Technical Debt is a metaphor used to describe the situation in which long-term software artifact quality is traded for short-term goals in software projects. In recent years, the c…

cs.SE201828 cited

The Impact of Automated Parameter Optimization on Defect Prediction Models

Chakkrit Tantithamthavorn, Shane McIntosh, Ahmed E. Hassan +1

Defect prediction models---classifiers that identify defect-prone software modules---have configurable parameters that control their characteristics (e.g., the number of trees in a…

cs.SE2017

Extracting Build Changes with BUILDDIFF

Christian Macho, Shane McIntosh, Martin Pinzger

Build systems are an essential part of modern software engineering projects. As software projects change continuously, it is crucial to understand how the build system changes beca…