Search Results - "Adams, Bram"

HAFix: history-augmented large language models for bug fixing.

Authors: Shi, Yu Bangash, Abdul Ali Fallahzadeh, Emad et al.

Source: Empirical Software Engineering; Jul2026, Vol. 31 Issue 4, p1-70, 70p

Image‐based communication on social coding platforms.

Authors: Nayebi, Maleknaz Adams, Bram

Source: Journal of Software: Evolution & Process; May2024, Vol. 36 Issue 5, p1-19, 19p

On the impact of black-box deployment strategies for edge AI on latency and model performance.

Authors: Singh, Jaskirat Fallahzadeh, Emad Adams, Bram et al.

Source: Empirical Software Engineering; Sep2026, Vol. 31 Issue 5, p1-221, 221p

An empirical study of testing practices in open source AI agent frameworks and agentic applications.

Authors: Hasan, Mohammed Mehedi Li, Hao Fallahzadeh, Emad et al.

Source: Empirical Software Engineering; Sep2026, Vol. 31 Issue 5, p1-55, 55p

On the synchronization between Hugging Face pre-trained language models and their upstream GitHub repository.

Authors: Ajibode, Adekunle Bangash, Abdul Ali Sghaier, Oussama Ben et al.

Source: Empirical Software Engineering; Sep2026, Vol. 31 Issue 5, p1-64, 64p

Output format biases in the evaluation of large language models for code translation.

Authors: Macedo, Marcos Tian, Yuan Cogo, Filipe R. et al.

Source: Empirical Software Engineering; Apr2026, Vol. 31 Issue 2, p1-35, 35p

An empirical study of build maintenance effort.

Authors: McIntosh, Shane Adams, Bram Nguyen, Thanh H. D. et al.

Source: ICSE: International Conference on Software Engineering; 2011, p141-150, 10p

Towards semantic versioning of open pre-trained language model releases on hugging face.

Authors: Ajibode, Adekunle Bangash, Abdul Ali Cogo, Filipe R. et al.

Source: Empirical Software Engineering; Jun2025, Vol. 30 Issue 3, p1-63, 63p

UPC sentinel: An accurate approach for detecting upgradeability proxy contracts in Ethereum.

Authors: Ebrahimi, Amir M. Adams, Bram Oliva, Gustavo A. et al.

Source: Empirical Software Engineering; Jun2025, Vol. 30 Issue 3, p1-79, 79p

Modeling the evolution of topics in source code histories.

Authors: Thomas, Stephen W. Adams, Bram Hassan, Ahmed E. et al.

Source: ICSE: International Conference on Software Engineering; 2011, p173-182, 10p

Lightweight dynamic build batching algorithms for continuous integration.

Authors: Kamath, Divya M. Adams, Bram Hassan, Ahmed E.

Source: Empirical Software Engineering; Mar2025, Vol. 30 Issue 2, p1-33, 33p

Contrasting test selection, prioritization, and batch testing at scale.

Authors: Fallahzadeh, Emad Rigby, Peter C. Adams, Bram

Source: Empirical Software Engineering; Feb2025, Vol. 30 Issue 1, p1-65, 65p

Security versus performance bugs.

Authors: Zaman, Shahed Adams, Bram Hassan, Ahmed E.

Source: ICSE: International Conference on Software Engineering; 2011, p93-102, 10p

On combining commit grouping and build skip prediction to reduce redundant continuous integration activity.

Authors: Kamath, Divya M. Fernandes, Eduardo Adams, Bram et al.

Source: Empirical Software Engineering; Nov2024, Vol. 29 Issue 6, p1-53, 53p

The impact of concept drift and data leakage on log level prediction models.

Authors: Ouatiti, Youssef Esseddiq Sayagh, Mohammed Kerzazi, Noureddine et al.

Source: Empirical Software Engineering; Sep2024, Vol. 29 Issue 5, p1-37, 37p

Does using Bazel help speed up continuous integration builds?

Authors: Zheng, Shenyu Adams, Bram Hassan, Ahmed E.

Source: Empirical Software Engineering; Sep2024, Vol. 29 Issue 5, p1-42, 42p

Post deployment recycling of machine learning models.

Authors: Patel, Harsh Adams, Bram Hassan, Ahmed E.

Source: Empirical Software Engineering; Jul2024, Vol. 29 Issue 4, p1-55, 55p

An empirical study of challenges in machine learning asset management.

Authors: Zhao, Zhimin Chen, Yihao Bangash, Abdul Ali et al.

Source: Empirical Software Engineering; Jul2024, Vol. 29 Issue 4, p1-65, 65p

A large-scale exploratory study on the proxy pattern in Ethereum.

Authors: Ebrahimi, Amir M. Adams, Bram Oliva, Gustavo A. et al.

Source: Empirical Software Engineering; Jul2024, Vol. 29 Issue 4, p1-51, 51p

Towards graph-anonymization of software analytics data: empirical study on JIT defect prediction.

Authors: Malik, Akshat Adams, Bram Hassan, Ahmed

Source: Empirical Software Engineering; Jul2024, Vol. 29 Issue 4, p1-49, 49p