Unveiling Competition Dynamics in Mobile App Markets through User Reviews
Requirements Engineering: Foundation for Software Quality Lecture Notes in Computer Science(2023)
摘要
User reviews published in mobile app repositories are essential for
understanding user satisfaction and engagement within a specific market
segment. Manual analysis of reviews is impractical due to the large data
volume, and automated analysis faces challenges like data synthesis and
reporting. This complicates the task for app providers in identifying patterns
and significant events, especially in assessing the influence of competitor
apps. Furthermore, review-based research is mostly limited to a single app or a
single app provider, excluding potential competition analysis. Consequently,
there is an open research challenge in leveraging user reviews to support
cross-app analysis within a specific market segment. Following a case-study
research method in the microblogging app market, we introduce an automatic,
novel approach to support mobile app market analysis. Our approach leverages
quantitative metrics and event detection techniques based on newly published
user reviews. Significant events are proactively identified and summarized by
comparing metric deviations with historical baseline indicators within the
lifecycle of a mobile app. Results from our case study show empirical evidence
of the detection of relevant events within the selected market segment,
including software- or release-based events, contextual events and the
emergence of new competitors.
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