Checking App Behavior Against App Descriptions: What If There are No App Descriptions?
Classifying mobile apps based on their description is beneficial for several purposes. However, many app descriptions do not reflect app functionalities, whether accidentally or on purpose. Most importantly, these app classification methods do not work if the app description is unavailable. This paper investigates a Reverse Engineering-based Approach to Classify mobile apps using The data that exists in the app, called REACT. To validate the proposed REACT method, we use a large set of Android apps (24,652 apps in total). We also show REACTs’ extendibility for malware/anomaly detection and prove its reliability and scalability. However, our analysis shows some limitations in REACT procedure and implementation, especially for similar feature based app grouping. We discuss the root cause of these failures, our key lessons learned, and some future enhancement ideas. We also share our REACT tools and reproduced datasets for the app market analyst, mobile app developers and software engineering research communities for further research purposes.
Wed 19 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
02:40 - 03:10
|Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text|
Kexin Sun , Hui Gao Nanjing University, Hongyu Kuang Nanjing University, Xiaoxing Ma Nanjing University, Guoping Rong Nanjing University, Dong Shao Nanjing University, He Zhang Nanjing UniversityPre-print Media Attached
|Predicting Community Smells’ Occurrence on Individual Developers by Sentiments|
Zijie Huang East China University of Science and Technology, Zhiqing Shao , Guisheng Fan , Jianhua Gao , Ziyi Zhou , Kang Yang , Xingguang YangPre-print Media Attached
|Checking App Behavior Against App Descriptions: What If There are No App Descriptions?|
Replications and Negative Results (RENE)
Md. Shamsujjoha Monash University, Australia, John Grundy Monash University, Li Li Monash University, Hourieh Khalajzadeh Monash University, Australia, Qinghua LuPre-print Media Attached