1 citations · 1 across the 8 of their papers we have counts for
9 papers
Knowing the Store: What a Memory Backend Must Write Down Before an Agent Can Read It
Ansuman Mullick, Eray Tüzün
An agent with long-term memory can answer from a record it should no longer use, such as a plan the user later cancelled. We ask what a memory store must expose for an agent to kno…
Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs
Ansuman Mullick, Eray Tüzün
Current LLM memory systems treat all personal facts identically, so stores grow without bound while retrieval precision degrades. The core challenge is lifecycle management: which…
Fine-Tuning Large Language Models to Classify Pull Request-Issue Alignments: Going Beyond Prompting
Mustafa Yasir Altunhan, Hüseyin Özgür Kamalı, Eray Tüzün
Context: Accurate alignment between pull requests (PRs) and corresponding issues is crucial for efficient software development and maintaining code quality, as misalignments can re…
Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
Hüseyin Özgür Kamalı, Erdem Tuna, Vahid Haratian +1
Code review has evolved for decades, from informal peer checking to today's pull request (PR) workflows, yet it remains a largely manual and cognitively demanding process. The rise…
Automated Classification of Human Code Review Comments with Large Language Models
Semih Çağlar, Şükrü Eren Gökırmak, Eray Tüzün
Context: Code reviews are essential for maintaining software quality, yet many human review comments suffer from issues such as redundancy, vagueness, or lack of constructiveness.…
Evaluating Large Language Models for Code Review
Umut Cihan, Arda İçöz, Vahid Haratian +1
Context: Code reviews are crucial for software quality. Recent AI advances have allowed large language models (LLMs) to review and fix code; now, there are tools that perform these…
Evaluating the Impact of Data Cleaning on the Quality of Generated Pull Request Descriptions
Kutay Tire, Berk Çakar, Eray Tüzün
Pull Requests (PRs) are central to collaborative coding, summarizing code changes for reviewers. However, many PR descriptions are incomplete, uninformative, or have out-of-context…
Towards Automated Detection of Inline Code Comment Smells
Ipek Oztas, U Boran Torun, Eray Tüzün
Code comments are important in software development because they directly influence software maintainability and overall quality. Bad practices of code comments lead to code commen…
Automated Code Review In Practice
Umut Cihan, Vahid Haratian, Arda İçöz +5
Code review is a widespread practice to improve software quality and transfer knowledge. It is often seen as time-consuming due to the need for manual effort and potential delays.…