4 citations · 5 across the 6 of their papers we have counts for
6 papers
Large Language Models for Web Accessibility: A Systematic Literature Review
Wajdi Aljedaani, Rubel Hassan Mollik
Web accessibility aims to ensure that web content and services are usable by people with diverse abilities. In recent years, Large Language Models (LLMs) have been increasingly exp…
Digital Skin, Digital Bias: Uncovering Tone-Based Biases in LLMs and Emoji Embeddings
Mingchen Li, Wajdi Aljedaani, Yingjie Liu +5
Skin-toned emojis are crucial for fostering personal identity and social inclusion in online communication. As AI models, particularly Large Language Models (LLMs), increasingly me…
Insights from the Field: Exploring Students' Perspectives on Bad Unit Testing Practices
Anthony Peruma, Eman Abdullah AlOmar, Wajdi Aljedaani +2
Educating students about software testing practices is integral to the curricula of many computer science-related courses and typically involves students writing unit tests. Simila…
Do the Test Smells Assertion Roulette and Eager Test Impact Students' Troubleshooting and Debugging Capabilities?
Wajdi Aljedaani, Mohamed Wiem Mkaouer, Anthony Peruma +1
To ensure the quality of a software system, developers perform an activity known as unit testing, where they write code (known as test cases) that verifies the individual software…
Finding the Needle in a Haystack: On the Automatic Identification of Accessibility User Reviews
Eman Abdullah AlOmar, Wajdi Aljedaani, Murtaza Tamjeed +2
In recent years, mobile accessibility has become an important trend with the goal of allowing all users the possibility of using any app without many limitations. User reviews incl…
Test Smell Detection Tools: A Systematic Mapping Study
Wajdi Aljedaani, Anthony Peruma, Ahmed Aljohani +6
Test smells are defined as sub-optimal design choices developers make when implementing test cases. Hence, similar to code smells, the research community has produced numerous test…