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Research Projects

Yelp reviews and ratings are important source of information to make informed decisions about a venue. We conjecture that further classification of yelp reviews into relevant categories can help users to make an informed decision based on their personal preferences for categories. Moreover, this aspect is especially useful when users do not have time to read many reviews to infer the popularity of venues across these categories.

Research Area(s): 
Project Dates: 
January 2011 to February 2019

TrimDroid is a novel combinatorial approach for generating GUI system tests for Android apps.

TrimDroid is comprised of four major components: Model Extraction, Dependency Extraction, Sequence Generation, and Test-Case Generation. Together, these components produce a significantly smaller number of test cases than exhaustive combinatorial technique, yet achieve a comparable coverage.

Research Area(s): 
Project Dates: 
March 2015

The dynamic nature of markets wherein business relationships are established and dissolved continuously demands systems that can cope with constant change, and do so with security paramount. These relationships are reified as services  that are offered by organizations and used  within a spectrum of domains and use contexts. Current service technologies fail to meet the requirements, however; interfaces are rigid, non-secure, and “one-size-fits-all solutions” which hardly meet the demands of any of its users.

Project Dates: 
July 2007

The rising popularity of mobile apps deployed on battery-constrained devices has motivated the need for effective energy-aware testing techniques. Energy testing is generally more labor intensive and expensive than functional testing, as tests need to be executed in the deployment environment, specialized equipment needs to be used to collect energy measurements, etc. Currently, there is a dearth of automatic mobile testing techniques that consider energy as a program property of interest.

Research Area(s): 
Project Dates: 
September 2015

Over the last several years we have been studying how digital media affects people’s lives. Rather than bring people into a laboratory, I view the real world as a living laboratory--I go where people live, study, and work, to study them as they go about their normal activities. Digital media use affects people’s mood, stress, and behavior quite significantly. In particular, people experience disruptions when working with digital media due to multi-tasking and interruptions.

Research Area(s): 
Project Dates: 
January 2004

Android is the dominant mobile platform with 85% market share, as of the first quarter of 2017. At the same time, the number and sophistication of malicious Android apps are increasin.

Research Area(s): 
Project Dates: 
July 2017

Test suites often need to adapt to the software that it is intended to test. The core software changes and grows, and as such, its test suite also needs to change and grow. However, the test suites can often grow so large as to be unmaintainable. We have developed techniques to assist in the maintenance of these test suites, specifically in allowing for test-suite reduction (while preserving coverage adequacy) and test-suite prioritization.

Research Area(s): 
Project Dates: 
May 2001

DELDroid is an automated system for determination of least privilege architecture in Android and its enforcement at runtime. A key contribution of our approach is the ability to limit the privileges granted to apps without the need to modify them.

DELDroid utilizes static program analysis techniques to extract the exact privileges each component needs for providing its functionality. A Multiple-Domain Matrix representation of the system's architecture is then used to automatically analyze the security posture of the system and derive its least-privilege architecture.

Research Area(s): 
Project Dates: 
July 2016

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