Naeem Iqbal

Papers

Total Citations

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About

Dr. Naeem Iqbal is a leading researcher in mobile software engineering and app quality analytics, with a particular focus on wearable and mobile application ecosystems. His work centers on leveraging user-generated data—especially app store reviews—to predict and improve software quality. His most cited paper, "Quality Prediction of Wearable Apps in the Google Play Store" (2021, 8 citations), demonstrates how user feedback can be systematically mined to identify quality issues, helping developers build more reliable wearable applications. This research is foundational in bridging the gap between user experience and software engineering practices, showing that review analytics can serve as a powerful decision-making tool for developers. Dr. Iqbal’s contributions are especially notable for their practical impact: by transforming unstructured user reviews into actionable quality predictions, his work directly supports the iterative improvement of mobile and wearable apps. His research continues to influence how developers and researchers understand and respond to user-perceived quality in rapidly evolving mobile platforms.