activity
20202022
most citedA Deep Reinforcement Learning Approach for the Meal Delivery Problem

62 citations · 180 across the 11 of their papers we have counts for

collaborators
Showing cs.SEShow all

7 papers · 1 filter

cs.SE2022

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…

cs.SE2022★ 14 cited

S-DABT: Schedule and Dependency-Aware Bug Triage in Open-Source Bug Tracking Systems

Hadi Jahanshahi, Mucahit Cevik

Fixing bugs in a timely manner lowers various potential costs in software maintenance. However, manual bug fixing scheduling can be time-consuming, cumbersome, and error-prone. In…

cs.SE2021

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-…

cs.SE2021★ 4 cited

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…

cs.SE2021

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…

cs.SE2021

Moving from Cross-Project Defect Prediction to Heterogeneous Defect Prediction: A Partial Replication Study

Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar

Software defect prediction heavily relies on the metrics collected from software projects. Earlier studies often used machine learning techniques to build, validate, and improve bu…

cs.SE2020★ 10 cited

Wayback Machine: A tool to capture the evolutionary behaviour of the bug reports and their triage process in open-source software systems

Hadi Jahanshahi, Mucahit Cevik, José Navas-Sú +2

The issue tracking system (ITS) is a rich data source for data-driven decision-making. Different characteristics of bugs, such as severity, priority, and time to fix, provide a cle…