Proceedings of the International Workshop on App Market Analytics最新文献

To upgrade or not to upgrade? the release of new versions to survive in the hypercompetitive app market 升级还是不升级?发布新版本是为了在竞争激烈的应用市场中生存

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993261

Stefano Comino, Fabio M. Manenti, Franco Mariuzzo

引用次数: 6

Examining the relationship between security metrics and user ratings of mobile apps: a case study 检查安全指标与手机应用用户评级之间的关系:一个案例研究

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993260

Daniel E. Krutz, Nuthan Munaiah, Andrew Meneely, Samuel A. Malachowsky

{"title":"Examining the relationship between security metrics and user ratings of mobile apps: a case study","authors":"Daniel E. Krutz, Nuthan Munaiah, Andrew Meneely, Samuel A. Malachowsky","doi":"10.1145/2993259.2993260","DOIUrl":"https://doi.org/10.1145/2993259.2993260","url":null,"abstract":"The success or failure of a mobile application (`app') is largely determined by user ratings. Users frequently make their app choices based on the ratings of apps in comparison with similar, often competing apps. Users also expect apps to continually provide new features while maintaining quality, or the ratings drop. At the same time apps must also be secure, but is there a historical trade-off between security and ratings? Or are app store ratings a more all-encompassing measure of product maturity? We used static analysis tools to collect security-related metrics in 38,466 Android apps from the Google Play store. We compared the rate of an app's permission misuse, number of requested permissions, and Androrisk score, against its user rating. We found that high-rated apps have statistically significantly higher security risk metrics than low-rated apps. However, the correlations are weak. This result supports the conventional wisdom that users are not factoring security risks into their ratings in a meaningful way. This could be due to several reasons including users not placing much emphasis on security, or that the typical user is unable to gauge the security risk level of the apps they use everyday.","PeriodicalId":268579,"journal":{"name":"Proceedings of the International Workshop on App Market Analytics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128897593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Checking app user interfaces against app descriptions 根据应用描述检查应用用户界面

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993265

Konstantin Kuznetsov, Vitalii Avdiienko, Alessandra Gorla, A. Zeller

引用次数: 10

Mining and characterizing hybrid apps 挖掘和描述混合应用

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993263

Mohamed Ali, A. Mesbah

引用次数: 19

CALAPPA: a toolchain for mining Android applications CALAPPA:用于挖掘Android应用程序的工具链

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993262

Vitalii Avdiienko, Konstantin Kuznetsov, Paolo Calciati, Juan Carlos Caiza Román, Alessandra Gorla, A. Zeller

引用次数: 6

Darwin: a static analysis dataset of malicious and benign Android apps Darwin:恶意和良性Android应用程序的静态分析数据集

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993264

Nuthan Munaiah, Casey Klimkowsky, S. mcrae, Adam Blaine, Samuel A. Malachowsky, Cesar Perez, Daniel E. Krutz

引用次数: 11

Proceedings of the International Workshop on App Market Analytics 应用市场分析国际研讨会论文集

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259

M. Nagappan, Federica Sarro, Emad Shihab

引用次数: 0

The impact of cross-platform development approaches for mobile applications from the user's perspective 从用户的角度分析跨平台开发方法对移动应用程序的影响

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993268

Iván Tactuk Mercado, Nuthan Munaiah, Andrew Meneely

引用次数: 39

Feature-based evaluation of competing apps 基于功能的竞争应用评估

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993267

Faiz Ali Shah, Yevhenii Sabanin, Dietmar Pfahl

{"title":"Feature-based evaluation of competing apps","authors":"Faiz Ali Shah, Yevhenii Sabanin, Dietmar Pfahl","doi":"10.1145/2993259.2993267","DOIUrl":"https://doi.org/10.1145/2993259.2993267","url":null,"abstract":"App marketplaces, i.e. Google Play Store and Apple AppStore,comprise many competing apps offering a fair set of similar features. Users of competing apps can submit feedback in the form of ratings and textual comments. The feedback is useful for app developers to get a better understanding of where their app stands in the competition. However, app ratings don’t provide concrete information regarding users’ perceptions about an app’s features compared to similar apps. Studies have shown that users express sentiments on app features in app reviews. Therefore, user reviews are a valuable information source to compare competing apps based on users' sentiments regarding features. So far, researchers have analyzed app reviews to summarize the users’ sentiments on app features but the existing approaches have not been used for the comparison of competing apps. In this direction, we analyze app reviews of 25 apps to extract app features, determine competing apps based on feature commonality, and then compare competing apps based on users’ sentiments regarding features. We developed a tool prototype that helps app developers in identifying features which have been perceived negatively by its users. The tool prototype is also useful to find a set of features loved by users in other similar apps but missing in one’s app. We demonstrate the usefulness of the tool prototype and give pointers to future work.","PeriodicalId":268579,"journal":{"name":"Proceedings of the International Workshop on App Market Analytics","volume":"304 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115846115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 25

More insight from being more focused: analysis of clustered market apps 从更专注中获得更多见解:分析集群市场应用

Proceedings of the International Workshop on App Market Analytics Pub Date : 2016-11-14 DOI: 10.1145/2993259.2993266

Maleknaz Nayebi, Homayoon Farrahi, A. Lee, Henry Cho, G. Ruhe

{"title":"More insight from being more focused: analysis of clustered market apps","authors":"Maleknaz Nayebi, Homayoon Farrahi, A. Lee, Henry Cho, G. Ruhe","doi":"10.1145/2993259.2993266","DOIUrl":"https://doi.org/10.1145/2993259.2993266","url":null,"abstract":"The increasing attraction of mobile apps has inspired researchers to analyze apps from different perspectives. As any software product, apps have different attributes such as size, content maturity, rating, category or number of downloads. Current research studies mostly consider sampling across all apps. This often results in comparisons of apps being quite different in nature and category (games compared with weather and calendar apps), also being different in size and complexity. Similar to proprietary software and web-based services, more specific results can be expected from looking at more homogeneous samples as they can be received as a result of applying clustering. In this paper, we target homogeneous samples of apps to increase to degree of insight gained from analytics. As a proof-of-concept, we applied clustering technique DBSCAN and subsequent correlation analysis between app attributes for a set of 940 open source mobile apps from F-Droid. We showed that (i) clusters of apps with similar characteristics provided more insight compared to applying the same to the whole data and (ii) defining similarity of apps based on similarity of topics as created from topic modeling technique Latent Dirichlet Allocation does not significantly improve clustering results.","PeriodicalId":268579,"journal":{"name":"Proceedings of the International Workshop on App Market Analytics","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114395891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7