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

13 papers

cs.LG2022★ 24 cited

Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms

Elnaz Yousefzadeh Barri, Steven Farber, Hadi Jahanshahi +1

Building an accurate model of travel behaviour based on individuals' characteristics and built environment attributes is of importance for policy-making and transportation planning…

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…

physics.soc-ph2022★ 51 cited

Can transit investments in low-income neighbourhoods increase transit use? Exploring the nexus of income, car-ownership, and transit accessibility in Toronto

Elnaz Yousefzadeh Barri, Steven Farber, Anna Kramer +3

Transportation equity advocates recommend improving public transit in low-income neighbourhoods to alleviate socio-spatial inequalities and increase quality of life. However, trans…

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.IR2021

Text Classification for Predicting Multi-level Product Categories

Hadi Jahanshahi, Ozan Ozyegen, Mucahit Cevik +4

In an online shopping platform, a detailed classification of the products facilitates user navigation. It also helps online retailers keep track of the price fluctuations in a cert…

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.CL2021

Auto Response Generation in Online Medical Chat Services

Hadi Jahanshahi, Syed Kazmi, Mucahit Cevik

Telehealth helps to facilitate access to medical professionals by enabling remote medical services for the patients. These services have become gradually popular over the years wit…

cs.LG2021★ 62 cited

A Deep Reinforcement Learning Approach for the Meal Delivery Problem

Hadi Jahanshahi, Aysun Bozanta, Mucahit Cevik +5

We consider a meal delivery service fulfilling dynamic customer requests given a set of couriers over the course of a day. A courier's duty is to pick-up an order from a restaurant…

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.LG2021★ 15 cited

nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series

Hadi Jahanshahi, Mustafa Gokce Baydogan

The overwhelming presence of categorical/sequential data in diverse domains emphasizes the importance of sequence mining. The challenging nature of sequences proves the need for co…

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…