Towards a Framework of App Developer Inspection

MPhil Thesis Defence


Title: "Towards a Framework of App Developer Inspection"

By

Mr. Kai XING


Abstract

With the popularity of smart mobile devices, the amount of mobile applications 
(or simply called apps) has been increasing dramatically in recent years. 
However, due to low threshold to enter app industry, app developers vary 
significantly with respect to their expertise and reputation in the production 
of apps. Currently, there is no well-recognized objective and effective means 
to profile app developers. As the mobile market grows, it already gives rise to 
the problem of finding appropriate apps from the users' point of view. In this 
thesis, we propose a framework called App Developer Inspector (ADI), which aims 
to effectively profile app developers in aspects of their expertise and 
reputation in developing apps. ADI is essentially founded on two underlying 
models: the App Developer Expertise (ADE) model and the App Developer 
Reputation (ADR) model. In a nutshell, ADE is a generative model that derives 
the latent expertise for each developer and ADR is a model that exploits 
multiple features to evaluate app developers' reputation. Using the app 
developer profiles generated in ADI, we study two new applications which 
respectively facilitate app search and app development outsourcing. We conduct 
extensive experiments on a large real world dataset to evaluate the performance 
of ADI. The results of experiments demonstrate the effectiveness of ADI in 
profiling app developers as well as its boosting impact on the new 
applications.


Date:			Friday, 13 June 2014

Time:			2:00pm - 4:00pm

Venue:			Room 3584
 			Lifts 27/28

Committee Members:	Dr. Wilfred Ng (Supervisor)
 			Prof. Dit-Yan Yeung (Chairperson)
 			Dr. Raymond Wong


**** ALL are Welcome ****