Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics最新文献

Studying software descriptions in SourceForge and app stores for a better understanding of real-life requirements 研究SourceForge和应用商店中的软件描述，以便更好地理解现实生活中的需求

Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics Pub Date : 2017-09-05 DOI: 10.1145/3121264.3121269

F. S. Bäumer, M. Dollmann, Michaela Geierhos

引用次数: 7

Android apps and user feedback: a dataset for software evolution and quality improvement Android应用程序和用户反馈:软件进化和质量改进的数据集

Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics Pub Date : 2017-09-05 DOI: 10.1145/3121264.3121266

Giovanni Grano, Andrea Di Sorbo, F. Mercaldo, C. A. Visaggio, G. Canfora, Sebastiano Panichella

{"title":"Android apps and user feedback: a dataset for software evolution and quality improvement","authors":"Giovanni Grano, Andrea Di Sorbo, F. Mercaldo, C. A. Visaggio, G. Canfora, Sebastiano Panichella","doi":"10.1145/3121264.3121266","DOIUrl":"https://doi.org/10.1145/3121264.3121266","url":null,"abstract":"Nowadays, Android represents the most popular mobile platform with a market share of around 80%. Previous research showed that data contained in user reviews and code change history of mobile apps represent a rich source of information for reducing software maintenance and development effort, increasing customers' satisfaction. Stemming from this observation, we present in this paper a large dataset of Android applications belonging to 23 different apps categories, which provides an overview of the types of feedback users report on the apps and documents the evolution of the related code metrics. The dataset contains about 395 applications of the F-Droid repository, including around 600 versions, 280,000 user reviews and more than 450,000 user feedback (extracted with specific text mining approaches). Furthermore, for each app version in our dataset, we employed the Paprika tool and developed several Python scripts to detect 8 different code smells and compute 22 code quality indicators. The paper discusses the potential usefulness of the dataset for future research in the field.","PeriodicalId":179461,"journal":{"name":"Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics","volume":"43 51","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120877409","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: 58

Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics 第二届ACM SIGSOFT应用市场分析国际研讨会论文集

Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics Pub Date : 2017-09-05 DOI: 10.1145/3121264

Federica Sarro, Emad Shihab, M. Nagappan, Marie Christin Platenius, Daniel Kaimann

引用次数: 0

Mining mobile app markets for prioritization of security assessment effort 挖掘移动应用市场，确定安全评估工作的优先级

Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics Pub Date : 2017-09-05 DOI: 10.1145/3121264.3121265

Alireza Sadeghi, N. Esfahani, S. Malek

{"title":"Mining mobile app markets for prioritization of security assessment effort","authors":"Alireza Sadeghi, N. Esfahani, S. Malek","doi":"10.1145/3121264.3121265","DOIUrl":"https://doi.org/10.1145/3121264.3121265","url":null,"abstract":"Like any other software engineering activity, assessing the security of a software system entails prioritizing the resources and minimizing the risks. Techniques ranging from the manual inspection to automated static and dynamic analyses are commonly employed to identify security vulnerabilities prior to the release of the software. However, none of these techniques is perfect, as static analysis is prone to producing lots of false positives and negatives, while dynamic analysis and manual inspection are unwieldy, both in terms of required time and cost. This research aims to improve these techniques by mining relevant information from vulnerabilities found in the app markets. The approach relies on the fact that many modern software systems, in particular mobile software, are developed using rich application development frameworks (ADF), allowing us to raise the level of abstraction for detecting vulnerabilities and thereby making it possible to classify the types of vulnerabilities that are encountered in a given category of application. By coupling this type of information with severity of the vulnerabilities, we are able to improve the efficiency of static and dynamic analyses, and target the manual effort on the riskiest vulnerabilities.","PeriodicalId":179461,"journal":{"name":"Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122910224","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: 4

Understanding the security management of global third-party Android marketplaces 了解全球第三方Android市场的安全管理

Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market Analytics Pub Date : 2017-09-05 DOI: 10.1145/3121264.3121267

Y. Ishii, Takuya Watanabe, Fumihiro Kanei, Yuta Takata, Eitaro Shioji, Mitsuaki Akiyama, Takeshi Yagi, Bo Sun, Tatsuya Mori

引用次数: 12