Alvine Boaye Belle

Orcid: 0000-0001-7533-7212

Affiliations:
  • York University, Toronto, ON, Canada


According to our database1, Alvine Boaye Belle authored at least 40 papers between 2012 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning.
ACM Comput. Surv., March, 2025

2024
A PRISMA-driven systematic mapping study on system assurance weakeners.
Inf. Softw. Technol., 2024

Prompting GPT -4 to support automatic safety case generation.
Expert Syst. Appl., 2024

SmartGSN: a generative AI-powered online tool for the management of assurance cases.
CoRR, 2024

Automatic Instantiation of Assurance Cases from Patterns Using Large Language Models.
CoRR, 2024

Biases in gendered citation practices: an exploratory study and some reflections on the Matthew and Matilda effects.
CoRR, 2024

Program Slicing in the Era of Large Language Models.
CoRR, 2024

A PRISMA-Driven Bibliometric Analysis of the Scientific Literature on Assurance Case Patterns.
CoRR, 2024

Evaluating the Effectiveness of GPT-4 Turbo in Creating Defeaters for Assurance Cases.
CoRR, 2024

I came, I saw, I certified: some perspectives on the safety assurance of cyber-physical systems.
CoRR, 2024

Exploring the Capabilities of Large Language Models for the Generation of Safety Cases: the Case of GPT-4.
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Design of the Safety Case of the Reinforcement Learning-Enabled Component of a Quanser Autonomous Vehicle.
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Using GPT-4 Turbo to Automatically Identify Defeaters in Assurance Cases.
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Preface.
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Assuring the emotional and cultural intelligence of intelligent software systems.
Proceedings of the 1st IEEE/ACM Workshop on Multi-disciplinary, 2024

Assessing the Impact of GPT-4 Turbo in Generating Defeaters for Assurance Cases.
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024

Effectiveness of ChatGPT for Static Analysis: How Far Are We?
Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023
Bolstering the Persistence of Black Students in Undergraduate Computer Science Programs: A Systematic Mapping Study.
ACM Trans. Comput. Educ., December, 2023

Evidence-based decision-making: On the use of systematicity cases to check the compliance of reviews with reporting guidelines such as PRISMA 2020.
Expert Syst. Appl., May, 2023

A Survey on Query-based API Recommendation.
CoRR, 2023

GPT-4 and Safety Case Generation: An Exploratory Analysis.
CoRR, 2023

The Last Decade in Review: Tracing the Evolution of Safety Assurance Cases through a Comprehensive Bibliometric Analysis.
CoRR, 2023

SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models.
CoRR, 2023

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation.
CoRR, 2023

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning.
CoRR, 2023

Position Paper: A Vision for the Dynamic Safety Assurance of ML-Enabled Autonomous Driving Systems.
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

2022
Probing AndroVul dataset for studies on Android malware classification.
J. King Saud Univ. Comput. Inf. Sci., 2022

A new measure to assess the systematicity of the abstracts of reviews self-identifying as systematic reviews.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

A checklist-based approach to assess the systematicity of the abstracts of reviews self-identifying as systematic reviews.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021
Systematically reviewing the layered architectural pattern principles and their use to reconstruct software architectures.
CoRR, 2021

2019
Estimation and Prediction of technical debt: a proposal.
CoRR, 2019

A Novel Approach to Measure Confidence and Uncertainty in Assurance Cases.
Proceedings of the 27th IEEE International Requirements Engineering Conference Workshops, 2019

2018
Design and implementation of distributed expert systems: On a control strategy to manage the execution flow of rule activation.
Expert Syst. Appl., 2018

Improving formal analysis of state machines with particular emphasis on and-cross transitions.
Comput. Lang. Syst. Struct., 2018

2016
Combining lexical and structural information to reconstruct software layers.
Inf. Softw. Technol., 2016

2015
The Layered Architecture Recovery as a Quadratic Assignment Problem.
Proceedings of the Software Architecture - 9th European Conference, 2015

2014
Recovering Software Layers from Object Oriented Systems.
Proceedings of the ENASE 2014, 2014

2013
The Layered Architecture revisited: Is it an Optimization Problem?
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013

2012
Reconstructing Architectural Views from Legacy Systems.
Proceedings of the 19th Working Conference on Reverse Engineering, 2012


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