Presentations 1

10:40 am to 12:00 pm
10:40 - 11:00
"Research at Scale"
Cristina Videira Lopes, Associate Director and Professor, Dept. of Informatics, UC Irvine
The amount of data available these days is staggering. "Big data" has not only been changing the way businesses operate, it has also been changing the way research is done. In this talk I will cover some of the challenges, opportunities, benefits, and pitfalls in using very large datasets in Software Engineering research.
Prof. Cristina (Crista) Lopes is Associate Director for the Institute for Software Research and Professor of Informatics in the School of Information and Computer Sciences at the University of California, Irvine. Her research focuses on programming and software engineering for large-scale data and systems. Early in her career, she was a founding member of the team at Xerox PARC that developed Aspect-Oriented Programming. Along with her research program, she is also a prolific software developer. Her open source contributions include being one of the core developers of OpenSimulator, a virtual world server. She is also a founder and consultant of Encitra, a company specializing in online virtual reality for early-stage sustainable urban redevelopment projects. Her book "Exercises in Programming Style" has gained rave reviews, including being chosen as "Notable Book" by the ACM Best of Computing reviews. She has a PhD from Northeastern University, and MS and BS degrees from Instituto Superior Tecnico in Portugal. She is the recipient of several National Science Foundation grants, including a prestigious CAREER Award. She claims to be the only person in the world who is both an ACM Distinguished Scientist and Ohloh Kudos Rank 9.
11:00- 11:20

"Understanding and Analyzing Software Execution Behavior"
James A. Jones, Associate Professor, UC Irvine
Software, its structure, and its execution are often complex, with millions of instructions, interdependencies forming a complex web of logic, and billions of instructions executed in the blink of an eye. Understanding such complexities can be crucial to software-maintenance tasks such as debugging, integrating a new feature, and on-boarding of new team members. In this talk, I will present our work on representing and abstracting software, its structure, and its execution to help developers understand their code and its runtime behavior. Two projects, Cerebro and Sage, will be presented with their unique abilities to make software complexities more understandable for software-maintenance tasks.

Professor Jones is perhaps best known for the creation of the influential Tarantula technique that spawned a new field of “spectra-based” fault localization. For this work, he was awarded the prestigious ACM SIGSOFT Award in 2015. Also, he is a recipient of the prestigious National Science Foundation Faculty Early Career Development (CAREER) Award, which recognizes outstanding research and excellent education. Jones’s research contributions span the duration of his undergrad, professional, graduate, and professorial career. Throughout this time, Jones created tools and techniques for software analysis (static and dynamic), techniques to help manage test suites for safety-critical software systems, techniques to support several aspects of software debugging and comprehension, and has studied the ways that software behaves in order to better model and predict it. Jones received the Ph.D. in Computer Science at Georgia Tech, advised by Professor Mary Jean Harrold. At UC Irvine, Jones leads the Spider Laband advises Ph.D., Masters, and undergraduate students to study and improve software development and maintenance processes. Jones is a regular author and reviewer for top-tier research conferences (e.g., ICSE, FSE, ISSTA, ASE) and has co-organized events such as the 1st Working Conference on Software Visualization (VISSOFT) and the 10th Workshop on Dynamic Analysis (WODA).

11:20 - 11:40
"Modeling the Workplace Experience Through Precision-Tracking of Behavior"
Gloria Mark, Professor, Dept. of Informatics, UC Irvine
Understanding the workplace experience is important in order to develop solutions to improve health, mood and performance. However, cognitive, emotional, and behavioral measurements of the workplace experience until recently have been constrained by methodologies based on infrequent measurements or self-reports. The ongoing revolution in the development of sensor technologies is enabling new ways to measure human behavior in situ with precision. In this talk I will present research from studies which tracked participants in the workplace. We took a multi-faceted view of the workplace experience with a mixed-methods approach using sensors, bio-sensors, EMA, Sensecams, actigraphs, and repeated surveys collecting data on computer activity, affect, stress, focus, sleep, physical activity, productivity, and other factors. This methodology has enabled us to develop models of workplace mood, stress, communication, attention focus, multitasking, email use and temporal patterns of use. The research shows that there are consequences of having access to so many digital information sources: they continually compete for attention. We continually switch our attention among different information streams, applications and devices. I will discuss the value and challenges of multi-faceted quantitative measures of workplace (and other) behavior as we move towards designing interdisciplinary research to study, and design for, digital media use.

Gloria Mark is a Professor in the Department of Informatics at UC Irvine. Her research focuses on studying how the use of digital technology impacts our lives in real-world contexts. Her current projects include precision tracking of people’s digital media use: how it affects multitasking, the focus of attention, interruptions, mood, and stress. She uses sensors and other mixed methods to study this. She received her Ph.D. in Psychology from Columbia University. Prior to UCI she worked at the German National Research Center for Information Technology (GMD, now Fraunhofer Institute) and has been a visiting researcher at Microsoft Research, IBM, and National University of Singapore. She is a research affiliate at The MIT Media Lab. She has published in top conferences and journals in the fields of Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work. She is the general chair for the ACM CHI 2017 conference and is on the editorial board of the ACM TOCHI and Human-Computer Interaction journals. Her work has appeared in the popular press such as The New York Times, The Atlantic, the BBC, NPR, Time, and The Wall Street Journal and she has presented her work at SXSW and the Aspen Ideas Festival.

11:40 - 12:00
"Privacy by Design in an IoT Environment"
Alfred Kobsa, Professor, Dept. of Informatics, UC Irvine
The Internet of Things (IoT) will enable a vast amount of unprecedented services but will also engender considerable privacy risks. We present TIPPERS, a large collaborative project that explores the extent to which privacy can be preserved in the development of an IoT environment housed in an office building through the incorporation of privacy technologies. By testing of privacy technologies in a real-world testbeds, TiPPERS aims to substantially increase the usage of privacy technology in real-world applications and to generate guidelines and templates for their easier deployment.

Dr. Alfred Kobsa is a Professor in the Donald Bren School of Information and Computer Sciences of the University of California, Irvine. Before he was an Institute Director at the German National Research Center for Information Technology (GMD-FIT, now part of Fraunhofer), and a Professor of Computer Science at the University of Essen, Germany. He was also an Associate Professor of Information Systems at the Department of Information Science at the University of Konstanz, Germany, and a Senior Researcher at the Department of Computer Science of the University of Saarbrücken. He received his master degrees in Computer Science and in the Social and Economic Sciences from the Johannes Kepler University Linz, Austria, and his Ph.D. in Computer Science from the University of Vienna, Austria and the Vienna University of Technology.

Dr. Kobsa's research lies in the areas of user modeling and personalized systems, privacy, usable security, and support for personal health maintenance. He was the founding editor of User Modeling and User-Adapted Interaction: The Journal of Personalization Research, and the founding president of User Modeling Inc. Dr. Kobsa edited several books and authored numerous publications in the areas of user-adaptive systems, privacy, human-computer interaction and knowledge representation. He also co-founded a national workshop series and an international conference series in these areas. He received research awards from the Humboldt Foundation, Google, and several other organizations.