A Model-Based Testing Approach for Cockpit Display Systems of Avionics. - Muhammad Zohaib Iqbal; Hassan Sartaj; Muhammad Uzair Khan; Fitash Ul Haq; Ifrah Qaisar (MoDELS, 2019)

Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study. - Fitash Ul Haq; Donghwan Shin 001; Shiva Nejati 001; Lionel C. Briand (ICST, 2020)

Automatic Test Suite Generation for Key-points Detection DNNs Using Many-Objective Search. - Fitash Ul Haq; Donghwan Shin 001; Lionel C. Briand; Thomas Stifter; Jun Wang 020 (CoRR, 2020)

Automatic test suite generation for key-points detection DNNs using many-objective search (experience paper). - Fitash Ul Haq; Donghwan Shin 001; Lionel C. Briand; Thomas Stifter; Jun Wang 020 (ISSTA, 2021)

Can Offline Testing of Deep Neural Networks Replace Their Online Testing? - Fitash Ul Haq; Donghwan Shin 001; Shiva Nejati 001; Lionel Claude Briand (Empir. Softw. Eng., 2021)

Efficient Online Testing for DNN-Enabled Systems using Surrogate-Assisted and Many-Objective Optimization. - Fitash Ul Haq; Donghwan Shin 001; Lionel C. Briand (ICSE, 2022)

Correction to: Can Offline Testing of Deep Neural Networks Replace Their Online Testing? - Fitash Ul Haq; Donghwan Shin 001; Shiva Nejati 001; Lionel C. Briand (Empir. Softw. Eng., 2022)

Scalable and Practical Automated Testing of Deep Learning Models and Systems. - Fitash Ul Haq (2022)

Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems. - Fitash Ul Haq; Donghwan Shin 001; Lionel C. Briand (ICSE, 2023)

Building BESSER: An Open-Source Low-Code Platform. - Iván Alfonso; Aaron David Conrardy; Armen Sulejmani; Atefeh Nirumand; Fitash Ul Haq; Marcos Gomez-Vazquez; Jean-Sébastien Sottet; Jordi Cabot (BPMDS/EMMSAD@CAiSE, 2024)

Extending a Low-Code Tool with Multi-cloud Deployment Capabilities. - Fitash Ul Haq; Iván Alfonso; Armen Sulejmani; Jordi Cabot (ECSA (Tracks and Workshops), 2024)

B-OCL: An Object Constraint Language Interpreter in Python. - Fitash Ul Haq; Jordi Cabot (CoRR, 2025)