A Recommender System of Buggy App Checkers ...
Document type :
Rapport de recherche: Autre communication scientifique (congrès sans actes - poster - séminaire...)
Title :
A Recommender System of Buggy App Checkers for App Store Moderators
Author(s) :
Gomez, Maria [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rouvoy, Romain [Auteur]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Monperrus, Martin [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Seinturier, Lionel [Auteur]
Institut universitaire de France [IUF]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Rouvoy, Romain [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Monperrus, Martin [Auteur]
Self-adaptation for distributed services and large software systems [SPIRALS]
Seinturier, Lionel [Auteur]
![refId](/themes/Mirage2//images/idref.png)
Institut universitaire de France [IUF]
Laboratoire d'Informatique Fondamentale de Lille [LIFL]
Self-adaptation for distributed services and large software systems [SPIRALS]
Institution :
Inria Lille
INRIA
INRIA
Publication date :
2014-10
HAL domain(s) :
Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]/Informatique mobile
Informatique [cs]/Apprentissage [cs.LG]
Informatique [cs]/Informatique mobile
Informatique [cs]/Apprentissage [cs.LG]
English abstract : [en]
The popularity of smartphones is leading to an ever growing number of mobile apps that are published in official app stores. However, users might experience bugs and crashes for some of these apps. In this paper, we perform ...
Show more >The popularity of smartphones is leading to an ever growing number of mobile apps that are published in official app stores. However, users might experience bugs and crashes for some of these apps. In this paper, we perform an empirical study of the official Google Play Store to automatically mine for such error-suspicious apps. We use the knowledge inferred from this analysis to build a recommender system of buggy app checkers. More specifically, we analyze the permissions and the user reviews of 46; 644 apps to identify potential correlations between error-sensitive permissions and error-related reviews along time. This study reveals error-sensitive permissions and patterns that potentially induce the errors reported online by users. As a result, our systems give app store moderators efficient static checkers to identify buggy apps before they harm the reputation of the app store as a whole.Show less >
Show more >The popularity of smartphones is leading to an ever growing number of mobile apps that are published in official app stores. However, users might experience bugs and crashes for some of these apps. In this paper, we perform an empirical study of the official Google Play Store to automatically mine for such error-suspicious apps. We use the knowledge inferred from this analysis to build a recommender system of buggy app checkers. More specifically, we analyze the permissions and the user reviews of 46; 644 apps to identify potential correlations between error-sensitive permissions and error-related reviews along time. This study reveals error-sensitive permissions and patterns that potentially induce the errors reported online by users. As a result, our systems give app store moderators efficient static checkers to identify buggy apps before they harm the reputation of the app store as a whole.Show less >
Language :
Anglais
Collections :
Source :
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