2 citations · 3 across the 4 of their papers we have counts for
4 papers
The challenge of generating and evolving real-life like synthetic test data without accessing real-world raw data -- a Systematic Review
Maj-Annika Tammisto, Faiz Ali Shah, Daniel Rodriguez +1
Background: High-level system testing of applications that use data from e-Government services as input requires test data that is real-life-like but where the privacy of personal…
An LSTM-based Test Selection Method for Self-Driving Cars
Ali Güllü, Faiz Ali Shah, Dietmar Pfahl
Self-driving cars require extensive testing, which can be costly in terms of time. To optimize this process, simple and straightforward tests should be excluded, focusing on challe…
How Effectively Do LLMs Extract Feature-Sentiment Pairs from App Reviews?
Faiz Ali Shah, Ahmed Sabir, Rajesh Sharma +1
Automatic analysis of user reviews to understand user sentiments toward app functionality (i.e. app features) helps align development efforts with user expectations and needs. Rece…
The Impact of Annotation Guidelines and Annotated Data on Extracting App Features from App Reviews
Faiz Ali Shah, Kairit Sirts, Dietmar Pfahl
Annotation guidelines used to guide the annotation of training and evaluation datasets can have a considerable impact on the quality of machine learning models. In this study, we e…