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- W2327231718 abstract "In the mobile-app ecosystem, user ratings of apps (a measure of user perception) are extremely important because they correlate strongly with downloads and hence revenue. A case study examined the relationship between ratings (and the associated review comments) and static-analysis warnings (collected using FindBugs) for 10,000 free-to-download Android apps. Three warning categories--bad practice, internationalization, and performance--were more frequent in low-rated apps and corresponded to the review comment complaints. Thus, these categories were closely related to the user experience. These results suggest that app developers could use static-analysis tools to identify the bugs behind the issues that users complain about, before releasing an app." @default.
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- W2327231718 date "2016-07-01" @default.
- W2327231718 modified "2023-09-26" @default.
- W2327231718 title "Examining the Relationship between FindBugs Warnings and App Ratings" @default.
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- W2327231718 doi "https://doi.org/10.1109/ms.2015.29" @default.
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