User Reviews Matter! Tracking Crowdsourced Reviews to Support Evolution of Successful Apps - ICSME 2015 Online Appendix
This web page is a companion to our ICSME 2015 submission entitled "User Reviews Matter! Tracking Crowdsourced Reviews to Support Evolution of Successful Apps".
1. Data and Tools
Android apps
The list of apps used in our study is available as a CSV file. It includes the links to Google Play, issue trackers, and source code repositories
Tools
- Stop words list
- Summary of traceability oracles manually defined for the ten apps in RQa
- Data table used to generate the reported tables and figures (Second study)
- R script used to generate the reported tables and figures (Second study)
2. CRISTAL

3. Results
RQc: To that extent do developers fulfill negative re- views when working on a new app release?

RQe: What is the effect of a crowd review mechanism for planning and realizing future changes on the app success?

F-Average Score vs Similarity Treshold

*Authors
- Fabio Palomba
- University of Salerno, Fisciano (SA), Italy
E-mail: fpalomba at uinisa dot it - Mario Linares-Vásquez
- The College of William and Mary, VA, USA.
E-mail: mlinarev at wm dot edu - Gabriele Bavota -
University of Sannio, Benevento, Italy.
Email: gbavota at unisannio dot it - Rocco Oliveto - University of Molise, Pesche (IS), Italy.
E-mail: rocco.oliveto at unimol dot it - Massimiliano Di Penta - University of Sannio, Benevento, Italy.
Email: dipenta at unisannio dot it - Denys Poshyvanyk
- The College of William and Mary, VA, USA
E-mail: denys at cs dot wm dot edu - Andrea De Lucia
- University of Salerno, Fisciano (SA), Italy
E-mail: adelucia at uinisa dot it