4 citations · 12 across the 10 of their papers we have counts for
7 papers · 1 filter
Few-shot learning for sentence pair classification and its applications in software engineering
Robert Kraig Helmeczi, Mucahit Cevik, Savas Yıldırım
Few-shot learning-the ability to train models with access to limited data-has become increasingly popular in the natural language processing (NLP) domain, as large language models…
A Prompt-based Few-shot Learning Approach to Software Conflict Detection
Robert K. Helmeczi, Mucahit Cevik, Savas Yıldırım
A software requirement specification (SRS) document is an essential part of the software development life cycle which outlines the requirements that a software program in developme…
ADPTriage: Approximate Dynamic Programming for Bug Triage
Hadi Jahanshahi, Mucahit Cevik, Kianoush Mousavi +1
Bug triaging is a critical task in any software development project. It entails triagers going over a list of open bugs, deciding whether each is required to be addressed, and, if…
DABT: A Dependency-aware Bug Triaging Method
Hadi Jahanshahi, Kritika Chhabra, Mucahit Cevik +1
In software engineering practice, fixing a bug promptly reduces the associated costs. On the other hand, the manual bug fixing process can be time-consuming, cumbersome, and error-…
Predicting the Number of Reported Bugs in a Software Repository
Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
The bug growth pattern prediction is a complicated, unrelieved task, which needs considerable attention. Advance knowledge of the likely number of bugs discovered in the software s…
Does chronology matter in JIT defect prediction? A Partial Replication Study
Hadi Jahanshahi, Dhanya Jothimani, Ayşe Başar +1
Just-In-Time (JIT) models detect the fix-inducing changes (or defect-inducing changes). These models are designed based on the assumption that past code change properties are simil…