Examining the Relationship between FindBugs Warnings and App Ratings
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Material Type |
Article
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Author(s) |
Khalid , Hammad (Author)
Nagappan, Meiyappan (Author)
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Source Journal Info. |
Title:
IEEE Software
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Volume/ Issue No.: 2016/AUG V.33 N.4
Call No.:005.305 ISO Location: Periodicals & References Hall - 2nd floor
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Physical Description |
p 34-39
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Subject Area/ Descriptors |
Computer
(12522)
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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. ...
Full Abstract
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Journal:
IEEE Software
(499)
Issu: 2016/AUG V.33 N.4
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