activity
20232026
most citedUsing Large Language Models to Generate JUnit Tests: An Empirical Study

89 citations · 95 across the 5 of their papers we have counts for

collaborators

6 papers

cs.PF2026

Caching Policies based on Object Sizes

Ridwanul Hasan Tanvir, George Kesidis

We evaluate eviction policies that consider the lengths of the objects being cached for different cache sizes (cost) and different workloads. Workloads include the Independent Refe…

cs.PF2026

Performance and Cost-Aware Cache Provisioning

Ridwanul Tanvir, George Kesidis

While traditional cache policy evaluations fix capacity - often at 0.1% of the dataset - and measure the resulting hit rate, practical edge-cloud deployments require balancing both…

cs.AI2026

Bridging the Know-Act Gap via Task-Level Autoregressive Reasoning

Jihyun Janice Ahn, Ryo Kamoi, Berk Atil +34

LLMs often generate seemingly valid answers to flawed or ill-posed inputs. This is not due to missing knowledge: under discriminative prompting, the same models can mostly identify…

cs.CL2024

Bangla Grammatical Error Detection Leveraging Transformer-based Token Classification

Shayekh Bin Islam, Ridwanul Hasan Tanvir, Sihat Afnan

Bangla is the seventh most spoken language by a total number of speakers in the world, and yet the development of an automated grammar checker in this language is an understudied p…

cs.CR2024★ 6 cited

State Machine Mutation-based Testing Framework for Wireless Communication Protocols

Syed Md Mukit Rashid, Tianwei Wu, Kai Tu +5

This paper proposes Proteus, a protocol state machine, property-guided, and budget-aware automated testing approach for discovering logical vulnerabilities in wireless protocol imp…

cs.SE2023★ 89 cited

Using Large Language Models to Generate JUnit Tests: An Empirical Study

Mohammed Latif Siddiq, Joanna C. S. Santos, Ridwanul Hasan Tanvir +3

A code generation model generates code by taking a prompt from a code comment, existing code, or a combination of both. Although code generation models (e.g., GitHub Copilot) are i…