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Research Projects

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

One of the many challenges of software development and maintenance is the need to collaborate among many constituents and stakeholders. For example, clients interact with software development organizations; software-development organizations consist of many developers and maintainers within the same location and across different locations; and the development organization often outsources some of the testing efforts to independent test agencies. Each of these parties may reside in different locations, often across many very disparate time zones.

Project Dates: 
May 2009

Trust remains a key challenge for globally distributed teams despite decades of research. Awareness, a key component of collaboration, has even more research around it. However, detailed accounts of the interrelationship of awareness and trust are still lacking in the literature, particularly in the setting of software teams. The gap we seek to fill with this article is to examine how software tool support for awareness can engender trust among globally distributed software developers.

Project Dates: 
January 2013

We are on the cusp of a major opportunity: software tools that take advantage of Big Code. Specifically, Big Code will enable novel tools in areas such as security enhancers, bug finders, and code synthesizers. What do researchers need from Big Code to make progress on their tools? Our answer is an infrastructure that consists of 100,000 executable Java programs together with a set of working tools and an environment for building new tools.

Research Area(s): 
Project Dates: 
March 2019

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

We developed techniques for clustering of failures. Failure-clustering techniques attempt to categorize failing test cases according to the bugs that caused them. Test cases are clustered by utilizing their execution profiles (gathered from instrumented versions of the code) as a means to encode the behavior of those executions. Such techniques can offer suggestions for duplicate submissions of bug reports.

Research Area(s): 
Project Dates: 
July 2007

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

Microtask crowdsourcing systems such as FoldIt and ESP partition work into short, self-contained microtasks, reducing barriers to contribute, increasing parallelism, and reducing the time to complete work. Could this model be applied to software development? To explore this question, we are designing a development process and cloud-based IDE for crowd development.

Project Dates: 
May 2012

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