Shahzada Khurram

Papers

Total Citations

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About

Shahzada Khurram is a researcher whose work sits at the intersection of software engineering, mobile computing, and user experience. His most impactful contribution lies in understanding and predicting the quality of mobile applications, with a particular focus on wearable apps. In his highly cited 2021 paper, "Quality Prediction of Wearable Apps in the Google Play Store," Khurram demonstrated how user reviews—a rich but often underutilized source of data—can be systematically mined to forecast app quality. By analyzing the wealth of knowledge embedded in user feedback, he provided developers with a data-driven framework to identify quality issues before they escalate, ultimately helping to build more reliable and user-friendly wearable applications. This work has garnered significant attention, accumulating 8 citations and establishing Khurram as a key voice in the emerging field of wearable app quality assurance. His research not only advances technical methods for app evaluation but also underscores the critical role of the user's perspective in shaping the future of mobile software development.