57 citations · 99 across the 6 of their papers we have counts for
6 papers
Can Language Models Pass Software Testing Certification Exams? a case study
Fitash Ul Haq, Jordi Cabot
Large Language Models (LLMs) play a pivotal role in both academic research and broader societal applications. LLMs are increasingly used in software testing activities such as test…
B-OCL: An Object Constraint Language Interpreter in Python
Fitash Ul Haq, Jordi Cabot
The Object Constraint Language (OCL) has been widely used in the modeling community to complement software models for precisely defining constraints and business rules for the mode…
Building BESSER: an open-source low-code platform
Iván Alfonso, Aaron Conrardy, Armen Sulejmani +5
Low-code platforms (latest reincarnation of the long tradition of model-driven engineering approaches) have the potential of saving us countless hours of repetitive boilerplate cod…
Can Offline Testing of Deep Neural Networks Replace Their Online Testing?
Fitash Ul Haq, Donghwan Shin, Shiva Nejati +1
We distinguish two general modes of testing for Deep Neural Networks (DNNs): Offline testing where DNNs are tested as individual units based on test datasets obtained without invol…
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper)
Fitash Ul Haq, Donghwan Shin, Lionel C. Briand +2
Automatically detecting the positions of key-points (e.g., facial key-points or finger key-points) in an image is an essential problem in many applications, such as driver's gaze d…
Comparing Offline and Online Testing of Deep Neural Networks: An Autonomous Car Case Study
Fitash Ul Haq, Donghwan Shin, Shiva Nejati +1
There is a growing body of research on developing testing techniques for Deep Neural Networks (DNN). We distinguish two general modes of testing for DNNs: Offline testing where DNN…