Bram Adams

Bram Adams

Queens University

H-index: 62

Asia-Bangladesh

About Bram Adams

Bram Adams, With an exceptional h-index of 62 and a recent h-index of 41 (since 2020), a distinguished researcher at Queens University, specializes in the field of software release engineering, software integration, software build systems, software modularity, software maintenance.

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

On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance

Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation

An Empirical Study of Challenges in Machine Learning Asset Management

An empirical study on code review activity prediction in practice

The State of Documentation Practices of Third-party Machine Learning Models and Datasets

A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products

Unreproducible builds: time to fix, causes, and correlation with external ecosystem factors

A Grounded Theory of Cross-community SECOs: Feedback Diversity vs. Synchronization

Bram Adams Information

University

Position

___

Citations(all)

11660

Citations(since 2020)

5933

Cited By

8129

hIndex(all)

62

hIndex(since 2020)

41

i10Index(all)

152

i10Index(since 2020)

124

Email

University Profile Page

Queens University

Google Scholar

View Google Scholar Profile

Bram Adams Skills & Research Interests

software release engineering

software integration

software build systems

software modularity

software maintenance

Top articles of Bram Adams

Title

Journal

Author(s)

Publication Date

On the Impact of Black-box Deployment Strategies for Edge AI on Latency and Model Performance

arXiv preprint arXiv:2403.17154

Jaskirat Singh

Bram Adams

Ahmed E Hassan

2024/3/25

Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation

M. Macedo

Y. Tian

F. Cogo

B. Adams

2024

An Empirical Study of Challenges in Machine Learning Asset Management

arXiv preprint arXiv:2402.15990

Zhimin Zhao

Yihao Chen

Abdul Ali Bangash

Bram Adams

Ahmed E Hassan

2024/2/25

An empirical study on code review activity prediction in practice

arXiv preprint arXiv:2404.10703

Doriane Olewicki

Sarra Habchi

Bram Adams

2024/4/16

The State of Documentation Practices of Third-party Machine Learning Models and Datasets

IEEE Software

Ernesto Lang Oreamuno

Rohan Faiyaz Khan

Abdul Ali Bangash

Catherine Stinson

Bram Adams

2024/2/15

A State-of-the-practice Release-readiness Checklist for Generative AI-based Software Products

Harsh Patel

Dominique Boucher

Emad Fallahzadeh

Ahmed E Hassan

Bram Adams

2024/3/27

Unreproducible builds: time to fix, causes, and correlation with external ecosystem factors

Empirical Software Engineering

Rahul Bajaj

Eduardo Fernandes

Bram Adams

Ahmed E Hassan

2024/1

A Grounded Theory of Cross-community SECOs: Feedback Diversity vs. Synchronization

IEEE Transactions on Software Engineering

Armstrong Foundjem

Ellis E Eghan

Bram Adams

2023/9/18

Towards a change taxonomy for machine learning pipelines: Empirical study of ML pipelines and forks related to academic publications

Empirical Software Engineering

Aaditya Bhatia

Ellis E Eghan

Manel Grichi

William G Cavanagh

Zhen Ming Jiang

...

2023/5

On practitioners’ concerns when adopting service mesh frameworks

Empirical Software Engineering

Yihao Chen

Eduardo Fernandes

Bram Adams

Ahmed E Hassan

2023/9

Why Not Mitigate Vulnerabilities in Helm Charts?

arXiv preprint arXiv:2312.15350

Yihao Chen

Jiahuei Lin

Bram Adams

Ahmed E Hassan

2023/12/23

Vulnerability management in linux distributions: An empirical study on debian and fedora

Empirical Software Engineering

Jiahuei Lin

Haoxiang Zhang

Bram Adams

Ahmed E Hassan

2023/3

Image‐based communication on social coding platforms

Journal of Software: Evolution and Process

Maleknaz Nayebi

Bram Adams

2023/6/28

IoPV: On Inconsistent Option Performance Variations

Jinfu Chen

Zishuo Ding

Yiming Tang

Mohammed Sayagh

Heng Li

...

2023/11/30

There’s no such thing as a free lunch: Lessons learned from exploring the overhead introduced by the greenkeeper dependency bot in npm

ACM Transactions on Software Engineering and Methodology

Benjamin Rombaut

Filipe R Cogo

Bram Adams

Ahmed E Hassan

2023/2/13

On the discoverability of npm vulnerabilities in node. js projects

ACM Transactions on Software Engineering and Methodology

Mahmoud Alfadel

Diego Elias Costa

Emad Shihab

Bram Adams

2023/5/26

An Empirical Study of Self-Admitted Technical Debt in Machine Learning Software

arXiv preprint arXiv:2311.12019

Aaditya Bhatia

Foutse Khomh

Bram Adams

Ahmed E Hassan

2023/11/20

Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction

arXiv preprint arXiv:2305.09824

Doriane Olewicki

Sarra Habchi

Mathieu Nayrolles

Mojtaba Faramarzi

Sarath Chandar

...

2023/5/16

On the coordination of vulnerability fixes: An empirical study of practices from 13 CVE numbering authorities

Empirical Software Engineering

Jiahuei Lin

Bram Adams

Ahmed E Hassan

2023/11

Understanding the Time to First Response In GitHub Pull Requests

Kazi Amit Hasan

Marcos Macedo

Yuan Tian

Bram Adams

Steven Ding

2023/4

See List of Professors in Bram Adams University(Queens University)

Co-Authors

H-index: 56
Andy Zaidman

Andy Zaidman

Technische Universiteit Delft

H-index: 50
Emad Shihab

Emad Shihab

Concordia University

H-index: 16
Stefan Marr

Stefan Marr

University of Kent

H-index: 16
Stephen W. Thomas

Stephen W. Thomas

Queen's University

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