activity
20212026
most citedStudying Ad Library Integration Strategies of Top Free-to-Download Apps

12 citations · 12 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SE2026

RETRACE: From Entangled Repair Histories to Reusable Experience for CI Repair

Rabeya Khatun Muna, Muhammad Ahasanuzzaman, Nakhla Rafi +3

Large language model (LLM) agents increasingly reuse prior experience, but most approaches assume that problems and solutions are already aligned. Software histories rarely provide…

cs.SE2026

Bug Report Specification Refinement with Trajectory Guidance for Automated Program Repair

S M Farah Al Fahim, Md Nakhla Rafi, Md Ahasanuzzaman +5

Bug reports serve as task specifications for repository-level automated program repair (APR) agents, but they often describe only the observed failure and omit repair-relevant info…

cs.AI2026

FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search

Md Nakhla Rafi, Md Ahasanuzzaman, Dong Jae Kim +2

LLM-based agents increasingly solve complex tasks through long trajectories involving reasoning steps, tool calls, and inter-agent communication. However, when these agents fail, i…

cs.SE2026

Assessing and Improving the Representativeness of Code Generation Benchmarks Using Knowledge Units (KUs) of Programming Languages -- An Empirical Study

Md Ahasanuzzaman, Bram Adams, Emad Fallahzadeh +2

Large Language Models (LLMs) such as GPT-4, Claude and LLaMA have shown impressive performance in code generation, typically evaluated using benchmarks (e.g., HumanEval). However,…

cs.SE2024

Predicting post-release defects with knowledge units (KUs) of programming languages: an empirical study

Md Ahasanuzzaman, Gustavo A. Oliva, Ahmed E. Hassan +2

Defect prediction plays a crucial role in software engineering, enabling developers to identify defect-prone code and improve software quality. While extensive research has focused…

cs.SE2024

Predicting long time contributors with knowledge units of programming languages: an empirical study

Md Ahasanuzzaman, Gustavo A. Oliva, Ahmed E. Hassan

Predicting potential long-time contributors (LTCs) early allows project maintainers to effectively allocate resources and mentoring to enhance their development and retention. Mapp…

cs.SE2023

Using Knowledge Units of Programming Languages to Recommend Reviewers for Pull Requests: An Empirical Study

Md Ahasanuzzaman, Gustavo A. Oliva, Ahmed E. Hassan

Code review is a key element of quality assurance in software development. Determining the right reviewer for a given code change requires understanding the characteristics of the…

cs.SE2021★ 12 cited

Studying Ad Library Integration Strategies of Top Free-to-Download Apps

Md Ahasanuzzaman, Safwat Hassan, Ahmed E. Hassan

In-app advertisements have become a major revenue source for app developers in the mobile app ecosystem. Ad libraries play an integral part in this ecosystem as app developers inte…