Evaluating Software Quality in Cryptocurrency Wallet Applications: A User-Centered Approach Using ISO/IEC 25010:2011 Quality Model

This study proposes a systematic methodology integrating Bidirectional Encoder Representations from Transformers (BERT)-based topic modeling (BERTopic) with the ISO/IEC 25010:2011 product quality model to evaluate and prioritize software quality characteristics in cryptocurrency wallet applications using user review data. Using 68,790 preprocessed reviews, BERTopic identified 15 major topics representing user-reported quality concerns. The proposed approach combines topic frequency with user dissatisfaction to provide clear and prioritized insights for software quality improvement. Specifically, topic frequency is logarithmically transformed to reduce the disproportionate influence of highly frequent topics, while dissatisfaction is derived from the average star rating associated with each topic. These measures are combined to calculate topic-level weighted values, which are subsequently mapped to the corresponding ISO/IEC 25010:2011 quality characteristics. Because a single topic may be associated with multiple quality characteristics, fractional allocation is applied to distribute its weighted value across the mapped characteristics and avoid duplicated contributions. The results identify Security as the highest-priority quality characteristic, followed by Performance Efficiency and Reliability. A sensitivity analysis comparing fractional and full allocation further shows that the allocation rule can materially affect the resulting priority structure. These findings establish clear priorities for software quality improvement and highlight the importance of accounting for multi-label topic mappings when aggregating user feedback. Overall, the proposed framework provides a transparent and user-centered approach for transforming large-scale review data into structured software quality priorities.