Mohammed Baz

Papers

Total Citations

H-Index

About

Dr. Mohammed Baz is a researcher whose work sits at the intersection of mobile computing, software quality, and user experience. His most cited study, "Quality Prediction of Wearable Apps in the Google Play Store" (2021, 8 citations), makes a significant contribution by demonstrating how user-generated Play Store reviews can be systematically mined to predict and improve the quality of wearable applications. This work highlights a practical, data-driven approach for developers: rather than relying solely on technical metrics, Baz shows that the wealth of knowledge embedded in user feedback can directly inform decisions to build higher-quality, more reliable mobile software. His research is particularly valuable for the growing wearable technology sector, where user satisfaction is critical. By focusing on the user’s perspective, Dr. Baz provides a framework that bridges the gap between raw user sentiment and actionable development insights. This work is essential reading for researchers and developers seeking to leverage real-world data to enhance app quality and user retention in the competitive mobile ecosystem.