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Research Projects

We developed a token-based approach for large scale code clone detection which is based on a filtering heuristic that reduces the number of token comparisons when the two code blocks are compared. We also developed a MapReduce based parallel algorithm that uses the filtering heuristic and scales to thousands of projects. The filtering heuristic is generic and can also be used in conjunction with other token-based approaches. In that context, we demonstrated how it can increase the retrieval speed and decrease the memory usage of the index-based approaches.

Project Dates: 
July 2011 to January 2014

Bitcoin is a digital currency and payment platform that has been the source of much media attention. The currency is not backed by a government like most conventional currencies but is part of a democratic and dencentralized movement. Bitcoin transactions are pseudo-anonymous in a similar way to cash money. Why do people use this currency? How do their political values align with their usage of bitcoin? Furthermore, how does the community regulate itself in the absence of a formal hierarchical structure? Lastly, how do anonymous users form communities?

Research Area(s): 
Project Dates: 
October 2013

The absence of explicit architectural constructs in mainstream programming languages has prevented software developers from achieving the many benefits of architecture-based development. To address this issue, Java 9 has introduced the Java Platform Module System (JPMS), resulting in the first instance of modules with rich software architectural interfaces added to a mainstream programming language. JPMS aims to support the encapsulation, security, and maintainability of Java applications and the JDK.

Research Area(s): 
Project Dates: 
November 2017

This project describes and documents observational results that arise from the playtesting­-based evaluation of twenty-­six computer games focused on science learning or scientific research. We refer to this little studied genre of computer games as science learning games (SLGs). Our goal was to begin to identify a new set of criteria, play mechanics, and play experiences that give rise to play­-based learning experiences in the realm of different scientific topics.

Project Dates: 
October 2014

The Internet of Things (IoT) is an emerging technology powered by smart devices that increasingly pervades our environments and practices. The process of incorporating technology into one's practices involves use and adaptation of the technology and is usually referred to as appropriation. In research about IoT, appropriation of IoT technology is a rather new topic. It is necessary to understand how appropriation takes place in order to be able to provide strong support for it in the design of technology.

Research Area(s): 
Project Dates: 
January 2017

Code search has become an integral part of the day-to-day programming activity with developers seeking to take advantage of the vast amount of code and advice available on sites such as Stack Overflow, GitHub, and Ohloh.  Finding the 'right' code, however, remains a serious challenge.  CodeExchange is a new code search platform that offers social-technical code search: search enriched with social-technical metadata through which targeted queries can be formulated, results quickly filtered, and code that is found easily integrated into the project at hand.

Project Dates: 
July 2012

Computer games may well be the quintessential domain for software engineering R&D. Why? Modern multi-player online games (MMOG) must address core issues in just about every major area of Computer Science and SE research and education.

Project Dates: 
January 2010

Sourcerer is an ongoing research project at the University of California, Irvine aimed at exploring open source projects through the use of code analysis. The existence of an extremely large body of open source code presents a tremendous opportunity for software engineering research. Not only do we leverage this code for our own research, but we provide the open source Sourcerer Infrastructure and curated datasets for other researchers to use.

The Sourcerer Infrastructure is composed of a number of layers.

Project Dates: 
January 2006

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