armor-ai Goto Github PK
Name: ARMOR
Type: Organization
Bio: App Review Mining on Reliability
Location: The Chinese University of Hong Kong
ARMOR's Projects
ad_review_analysis
Analysis on ad reviews
ar-tracker
Release code for our SOSE'15 paper: AR-Tracker: Track the Dynamics of Mobile Apps via User Review Mining. http://ieeexplore.ieee.org/document/7133542/
armor-ai.github.io
Website to demonstrate our work output.
crossminer
Release code for the ISSRE'16 paper: Understanding Cross-Platform App Issues From User Reviews.
idea
IDEA (IDentifying Emerging issues from App reviews) is a framework for detecting emerging issues from version-sensitive app reviews.
intelliad
For measuring memory, CPU, thread number, traffic, battery costs of app interactions.
merit
MERIT is a framework for emerging app issue detection
paid
Release data and code for our ISSRE'15 paper: PAID: Proritizing App Issues for Developers by Tracking User Reviews Over Versions. http://appsrv.cse.cuhk.edu.hk/~cygao/papers/cygao_issre2015.pdf
rrgen
Repository for the paper "Automating App Review Response Generation"
web_flask
Flask template web app
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