Omar Haggag

According to our database, Omar Haggag authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model driven engineering for machine learning components: A systematic literature review.

Hira Naveed, Chetan Arora, Hourieh Khalajzadeh, John C. Grundy, Omar Haggag

Inf. Softw. Technol., 2024

Interactive GDPR-Compliant Privacy Policy Generation for Software Applications.

Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Omar Haggag, John Grundy

CoRR, 2024

Towards Runtime Monitoring for Responsible Machine Learning using Model-driven Engineering.

Hira Naveed, John Grundy, Chetan Arora, Hourieh Khalajzadeh, Omar Haggag

Proceedings of the ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems, 2024

Identification of human values from goal models.

Tahira Iqbal, Kuldar Taveter, Tarmo Strenze, Waqar Hussain, Omar Haggag, John Alphonsus Matthews, Anu Piirisild

Proceedings of the 2024 IEEE/ACM 17th International Conference on Cooperative and Human Aspects of Software Engineering, 2024

Towards Enhancing Mobile App Reviews: A Structured Approach to User Review Entry, Analysis and Verification.

Omar Haggag, John Grundy, Rashina Hoda

Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, 2024

An Analysis of Privacy Issues and Policies of eHealth Apps.

Omar Haggag, John Grundy, Mohamed Abdelrazek

Proceedings of the 19th International Conference on Evaluation of Novel Approaches to Software Engineering, 2024

2023

Identifying human values from goal models: An industrial case study.

Tahira Iqbal, Kuldar Taveter, Tarmo Strenze, Waqar Hussain, Omar Haggag, John Alphonsus Matthews, Anu Piirisild

CoRR, 2023

2022

A large scale analysis of mHealth app user reviews.

Omar Haggag, John Grundy, Mohamed Abdelrazek, Sherif Haggag

Empir. Softw. Eng., 2022

Better Addressing Diverse Accessibility Issues in Emerging Apps: A Case Study using COVID-19 Apps.

Omar Haggag, John C. Grundy, Mohamed Abdelrazek, Sherif Haggag

Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022

Characterizing Human Aspects in Reviews of COVID-19 Apps.

Mattia Fazzini, Hourieh Khalajzadeh, Omar Haggag, Zhaoqing Li, Humphrey O. Obie, Chetan Arora, Waqar Hussain, John C. Grundy

Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022

Better Identifying and Addressing Diverse Issues in mHealth and Emerging Apps Using User Reviews.

Omar Haggag

Proceedings of the EASE 2022: The International Conference on Evaluation and Assessment in Software Engineering 2022, Gothenburg, Sweden, June 13, 2022

2021

COVID-19 vs Social Media Apps: Does Privacy Really Matter?

Omar Haggag, Sherif Haggag, John C. Grundy, Mohamed Almorsy Abdelrazek

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2021

2017

Towards automated quality assessment measure for EEG signals.

Shady M. K. Mohamed, Sherif Haggag, Saeid Nahavandi, Omar Haggag

Neurocomputing, 2017

2016

An adaptable system for RGB-D based human body detection and pose estimation: Incorporating attached props.

Hussein Haggag, Mohammed Hossny, Saeid Nahavandi, Omar Haggag

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015

Prosthetic Motor Imaginary Task Classification Based on EEG Quality Assessment Features.

Sherif Haggag, Shady M. K. Mohamed, Omar Haggag, Saeid Nahavandi

Proceedings of the Neural Information Processing - 22nd International Conference, 2015