Detection of fake job postings by utilizing machine learning and natural language processing approaches

A Amaar, W Aljedaani, F Rustam, S Ullah… - Neural Processing …, 2022 - Springer
The modern era is about everything that can be handled virtually in human life, such as
online banking, education, security, job, etc. This increase in technology use also makes it …

Spam SMS filtering based on text features and supervised machine learning techniques

MA Abid, S Ullah, MA Siddique, MF Mushtaq… - Multimedia Tools and …, 2022 - Springer
The advancement in technology made a significant mark with time, which affects every field
of life like medicine, music, office, traveling, and communication. Telephone lines are used …

Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

W Aljedaani, I Abuhaimed, F Rustam… - Social Network Analysis …, 2022 - Springer
Introduction The development of COVID-19 vaccines has been a great relief in many
countries that have been affected by the pandemic. As a result, many governments have …

Electroencephalogram signals for detecting confused students in online education platforms with probability-based features

T Daghriri, F Rustam, W Aljedaani, AH Bashiri, I Ashraf - Electronics, 2022 - mdpi.com
Online education has emerged as an important educational medium during the COVID-19
pandemic. Despite the advantages of online education, it lacks face-to-face settings, which …

Learning sentiment analysis for accessibility user reviews

W Aljedaani, F Rustam, S Ludi, A Ouni… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
Nowadays, people use different ways to express emotions and sentiments such as facial
expressions, gestures, speech, and text. With the exponentially growing popularity of mobile …

On the identification of accessibility bug reports in open source systems

W Aljedaani, MW Mkaouer, S Ludi, A Ouni… - Proceedings of the 19th …, 2022 - dl.acm.org
Today, mobile devices provide support to disabled people to make their life easier due to
their high accessibility and capability, eg, finding accessible locations, picture and voice …

Duplicate bug report detection using named entity recognition

W Zheng, Y Li, X Wu, J Cheng - Knowledge-Based Systems, 2024 - Elsevier
Software bugs pose significant challenges in management. The Bug Tracking System (BTS)
serves as a standard platform to chronicle, oversee, and manage bugs throughout software …

RLocator: Reinforcement learning for bug localization

P Chakraborty, M Alfadel… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Software developers spend a significant portion of time fixing bugs in their projects. To
streamline this process, bug localization approaches have been proposed to identify the …

[HTML][HTML] Using textual bug reports to predict the fault category of software bugs

T Hirsch, B Hofer - Array, 2022 - Elsevier
Debugging is a time-consuming and expensive process. Developers have to select
appropriate tools, methods and approaches in order to efficiently reproduce, localize and fix …

On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization

J Mahmud, N De Silva, SA Khan, SH Mostafavi… - Proceedings of the 46th …, 2024 - dl.acm.org
One of the most important tasks related to managing bug reports is localizing the fault so that
a fix can be applied. As such, prior work has aimed to automate this task of bug localization …