Mohammed Latif Siddiq

Orcid: 0000-0002-7984-3611

According to our database1, Mohammed Latif Siddiq authored at least 17 papers between 2021 and 2024.

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

Timeline

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Bibliography

2024
Large Language Models in Computer Science Education: A Systematic Literature Review.
CoRR, 2024

Quality Assessment of Prompts Used in Code Generation.
CoRR, 2024

The Fault in our Stars: Quality Assessment of Code Generation Benchmarks.
Proceedings of the IEEE International Conference on Source Code Analysis and Manipulation, 2024

Franc: A Lightweight Framework for High-Quality Code Generation.
Proceedings of the IEEE International Conference on Source Code Analysis and Manipulation, 2024

Quality Assessment of ChatGPT Generated Code and their Use by Developers.
Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

SALLM: Security Assessment of Generated Code.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2024

Understanding Regular Expression Denial of Service (ReDoS): Insights from LLM-Generated Regexes and Developer Forums.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Re(gEx|DoS)Eval: Evaluating Generated Regular Expressions and their Proneness to DoS Attacks.
Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2024

Using Large Language Models to Generate JUnit Tests: An Empirical Study.
Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering, 2024

2023
Generate and Pray: Using SALLMS to Evaluate the Security of LLM Generated Code.
CoRR, 2023

A Lightweight Framework for High-Quality Code Generation.
CoRR, 2023

Exploring the Effectiveness of Large Language Models in Generating Unit Tests.
CoRR, 2023

Zero-shot Prompting for Code Complexity Prediction Using GitHub Copilot.
Proceedings of the 2nd IEEE/ACM International Workshop on Natural Language-Based Software Engineering, 2023

2022
Shashthosheba: Dissecting Perception of Bangladeshi People towards Telemedicine Apps through the Lens of Features of the Apps.
CoRR, 2022

An Empirical Study of Code Smells in Transformer-based Code Generation Techniques.
Proceedings of the 22nd IEEE International Working Conference on Source Code Analysis and Manipulation, 2022

BERT-Based GitHub Issue Report Classification.
Proceedings of the 2022 IEEE/ACM 1st International Workshop on Natural Language-Based Software Engineering (NLBSE 2022), 2022

2021
SQLIFIX: Learning Based Approach to Fix SQL Injection Vulnerabilities in Source Code.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021


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