Shifa Siddiqui

Papers

Total Citations

H-Index

About

Dr. Shifa Siddiqui is a researcher at the intersection of software engineering and human-computer interaction, with a primary focus on mobile application quality and user experience. Her most cited work, "Quality Prediction of Wearable Apps in the Google Play Store" (2021, 8 citations), addresses a critical gap in understanding how user reviews can be systematically leveraged to predict and improve the quality of wearable applications. Siddiqui’s key contribution lies in demonstrating that Play Store reviews contain rich, actionable insights beyond simple star ratings—revealing latent quality issues that developers can use to build more robust, user-centered apps. By treating user feedback as a structured data source for quality prediction, her research empowers developers to make data-driven decisions that enhance app reliability and user satisfaction. This work is particularly notable for its focus on the rapidly growing wearable technology domain, where quality assurance remains underexplored. Siddiqui’s approach bridges the gap between user perception and technical development, offering a practical framework for mining app store analytics. Her research continues to influence how mobile software teams integrate user feedback into their quality assurance pipelines, making her a valuable voice in the ongoing effort to build higher-quality, user-friendly mobile applications.