Shane McIntosh

Shane McIntosh

University of Waterloo

H-index: 38

North America-Canada

About Shane McIntosh

Shane McIntosh, With an exceptional h-index of 38 and a recent h-index of 31 (since 2020), a distinguished researcher at University of Waterloo, specializes in the field of Release Engineering, Build Systems, Empirical Software Engineering, Mining Software Repositories, Software Quality.

His recent articles reflect a diverse array of research interests and contributions to the field:

Studying the impact of risk assessment analytics on risk awareness and code review performance

A Mutation-Guided Assessment of Acceleration Appproaches for Continuous Integration: An Empirical Study of Yourbase

Quantifying and characterizing clones of self-admitted technical debt in build systems

The Classics Never Go Out of Style

What is an app store? The software engineering perspective

LLbezpeky: Leveraging Large Language Models for Vulnerability Detection

The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology

RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction

Shane McIntosh Information

University

Position

___

Citations(all)

6511

Citations(since 2020)

4711

Cited By

3645

hIndex(all)

38

hIndex(since 2020)

31

i10Index(all)

66

i10Index(since 2020)

63

Email

University Profile Page

University of Waterloo

Google Scholar

View Google Scholar Profile

Shane McIntosh Skills & Research Interests

Release Engineering

Build Systems

Empirical Software Engineering

Mining Software Repositories

Software Quality

Top articles of Shane McIntosh

Title

Journal

Author(s)

Publication Date

Studying the impact of risk assessment analytics on risk awareness and code review performance

Empirical Software Engineering

Xueyao Yu

Filipe R Cogo

Shane McIntosh

Michael W Godfrey

2024/3

A Mutation-Guided Assessment of Acceleration Appproaches for Continuous Integration: An Empirical Study of Yourbase

Proc. of the 21st Int’l Conf. on Mining Software Repositories (MSR). To appear. https://doi. org/10.1145/3643991

Zhili Zeng

Tao Xiao

Maxime Lamothe

Hideaki Hata

Shane McIntosh

2024

Quantifying and characterizing clones of self-admitted technical debt in build systems

Empirical Software Engineering

Tao Xiao

Zhili Zeng

Dong Wang

Hideaki Hata

Shane McIntosh

...

2024/3

The Classics Never Go Out of Style

Mahmoud Alfadel

Shane McIntosh

2024

What is an app store? The software engineering perspective

Empirical Software Engineering

Wenhan Zhu

Sebastian Proksch

Daniel M German

Michael W Godfrey

Li Li

...

2024/2

LLbezpeky: Leveraging Large Language Models for Vulnerability Detection

arXiv preprint arXiv:2401.01269

Noble Saji Mathews

Yelizaveta Brus

Yousra Aafer

Mei Nagappan

Shane McIntosh

2024/1/2

The Classics Never Go Out of Style: An Empirical Study of Downgrades from the Bazel Build Technology

Mahmoud Alfadel

Shane McIntosh

2024/4/12

RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction

Proc. of the 32nd Int’l Sym. on the Foundations of Software Engineering (FSE). To appear

Gengyi Sun

Sarra Habchi

Shane McIntosh

2024

Characterizing Timeout Builds in Continuous Integration

IEEE Transactions on Software Engineering

Nimmi Weeraddana

Mahmoud Alfadel

Shane McIntosh

2024/4/11

Mining Our Way Back to Incremental Builds for DevOps Pipelines

Shane McIntosh

2024

Understanding the quality and evolution of Android app build systems

to appear in Journal of Software: Evolution and Process

P. Liu

L. Li

K. Liu

S. McIntosh

John C. Grundy

2024/2/1

Code review of build system specifications: prevalence, purposes, patterns, and perceptions

Mahtab Nejati

Mahmoud Alfadel

Shane McIntosh

2023/5/14

Assessing the exposure of software changes: The DiPiDi approach

Empirical Software Engineering

Mehran Meidani

Maxime Lamothe

Shane McIntosh

2023/3

An empirical comparison of ethnic and gender diversity of DevOps and non-DevOps contributions to open-source projects

Empirical Software Engineering

Nimmi Rashinika Weeraddana

Xiaoyan Xu

Mahmoud Alfadel

Shane McIntosh

Meiyappan Nagappan

2023/11

Repeated Builds During Code Review: An Empirical Study of the OpenStack Community

Rungroj Maipradit

Dong Wang

Patanamon Thongtanunam

Raula Gaikovina Kula

Yasutaka Kamei

...

2023/9/11

How does code reviewing feedback evolve? a longitudinal study at Dell EMC

Ruiyin Wen

Maxime Lamothe

Shane McIntosh

2022/5/21

Lessons from eight years of operational data from a continuous integration service: An exploratory case study of circleci

Keheliya Gallaba

Maxime Lamothe

Shane McIntosh

2022/5/21

Exploring the notion of risk in code reviewer recommendation

Farshad Kazemi

Maxime Lamothe

Shane McIntosh

2022/10/3

Code cloning in smart contracts on the ethereum platform: An extended replication study

IEEE Transactions on Software Engineering

Faizan Khan

Istvan David

Daniel Varro

Shane McIntosh

2022/9/19

An empirical study of type-related defects in python projects

IEEE Transactions on Software Engineering

Faizan Khan

Boqi Chen

Daniel Varro

Shane Mcintosh

2021/5/19

See List of Professors in Shane McIntosh University(University of Waterloo)

Co-Authors

H-index: 62
Bram Adams

Bram Adams

Queen's University

H-index: 52
Daniel M. German

Daniel M. German

University of Victoria

H-index: 48
Kenichi Matsumoto

Kenichi Matsumoto

Nara Institute of Science and Technology

H-index: 44
Martin Pinzger

Martin Pinzger

Alpen-Adria-Universität Klagenfurt

H-index: 38
Meiyappan Nagappan

Meiyappan Nagappan

University of Waterloo

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