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Lectures:Scholar Forum (167th)

Author:international office Source:international office Browse Times:3313Date:2016/03/08

The First Part:

Time 10:00-11:15 AM, March 14, 2016

Place:Main building B1-104(the New Campus)

TopicSome practical approaches for software reliability analysis from a systems engineering perspective

SpeakerProf. Min Xie, City University of Hong Kong, China (IEEE Fellow)

About the lecture: Software reliability is known to be a very important issue for complex systems. Research on software reliability has been going on for several decades, but few models have been successfully applied in practice. In this talk, the earlier developments in software and system reliability will be discussed. Some of the issues related to software reliability models will be presented with the emphasis on software testing and system reliability analysis. We will also share some views on the modelling and analysis of complex system dependability, and the applications in different fields.

About the speaker

Min Xie is currently a Chair Professor of Industrial Engineering at City University of Hong Kong and serves as Associate Dean (Internationalization) at College of Science and Engineering. He did his undergraduate study at Royal Inst of Technology in Sweden and graduated with a MSc in 1984. Later he completed his PhD from Linkoping University, Sweden in 1987. Dr Xie joined the National University of Singapore in 1991 as one of the first recipients of the prestigious LKY research fellowship. Prof Xie has published over 200 SCI-index journal papers and 8 books, including “Software Reliability Modelling” by World Scientific in 1991, “Weibull Models” by John Wiley in 2002, “Computing Systems Reliability” by Springer in 2003. He is an editor, associate editor and on the editorial board of more than 15 international journals. Prof Xie was elected fellow of IEEE in 2005 for his contribution in software and systems reliability. He has successfully supervised about 40 PhD students, now holding various positions in academia and industry. 

 

The Second Part:

Time 2:30-3:45 PM, March 14, 2016

Place:Main building B1-104(the New Campus)

TopicLocalize Software Bugs in a Cost Effective Way

SpeakerEric Wong, University of Texas at Dallas, USA

(Vice President for Publications of the IEEE Reliability Society)

About the lecture: Studies have shown that combinatorial testing can help programs detect hard-to-find software bugs that may not be revealed by test cases generated using other testing techniques. The first part of this talk focuses on traditional black-box requirements-based combinatorial testing. In particular, I will discuss results and lessons learned from three real-life industry applications: a control panel of a rail-road system, a Linux system, and a database system. The second part extends the concept of combinatorial testing to a white-box structure-based setting. I will present an advanced coverage criterion, Combinatorial Decision Coverage, in conjunction with symbolic execution to achieve high coverage cost-effectively without suffering from potential space exploration. Finally, I will explain how combinatorial testing can be applied to a graph-based methodology for testing IoT (Internet of Things).

About the speaker

W. Eric Wong received his M.S. and Ph.D. in Computer Science from Purdue University, West Lafayette, Indiana, USA. He is a Full Professor, the Director of International Outreach, and the Founding Director of Advanced Research Center for Software Testing and Quality Assurance (http://paris.utdallas.edu/stqa) in Computer Science at the University of Texas at Dallas (UTD). He also has an appointment as a guest researcher at the National Institute of Standards and Technology, an agency of the U.S. Department of Commerce. Prior to joining UTD, he was with Telcordia Technologies (formerly Bellcore) as a senior research scientist and the project manager in charge of Dependable Telecom Software Development.

Dr. Wong is the recipient of the 2014 IEEE Reliability Society Engineer of the Year. He is also the Edit-in-Chief of the IEEE Transactions on Reliability. His research focuses on helping practitioners improve software quality while reducing production cost. In particular, he is working on software testing, program debugging, risk analysis, safety, and reliability.

Dr. Wong is also the Founding Steering Committee Chair of the IEEE International Conference on Software Security and Reliability (SERE) and the IEEE International Workshop on Program Debugging. In 2015, the SERE conference and the QSIC conference (International Conference on Quality Software) merged into one large conference, QRS, with Q representing Quality, R for Reliability, and S for Security. Dr. Wong continues to be the Steering Committee Chair of this new conference (http://paris.utdallas.edu/qrs).

 

 

The Third Part:

Time 3:45-5:00 PM, March 14, 2016

Place:Main building B1-104(the New Campus)

TopicApplication Case and Research Trend of Industrial Engineering

SpeakerDr. Zhaojun(Steven) Li,  Department of Industrial Engineering and Engineering Management , United States Western New England College

About the lecture: the report first reviews the fundamentals and core theoretical basis of industrial engineering, quality and reliability engineering. Then share application of the broader sense industrial engineering in the United States industry, including the applications in Boeing 787 manufacturability assessment, and reliability management application in new product development (NPD) of Caterpillar. Theoretically, he will explore methods for data analysis on the residual life prediction of engineering systems, continuous reliability based on fuzzy set theory, and equivalency accelerated life test program (United States NSF-funded projects). Finally, he will discuss latest research trends of industrial engineering in the future on background of big data.

About the speaker

Zhaojun “Steven” Li is an Assistant Professor at the Department of Industrial Engineering and Engineering Management, Western New England University in Springfield, MA. Dr. Li’s research interests focus on Reliability, Quality, and Safety Engineering in Product Design, Systems Engineering and Its Applications in New Product Development, Diagnostics and Prognostics of Complex Engineered Systems, and Engineering Management. He earned his doctorate in Industrial Engineering from the University of Washington in 2011. He is an ASQ certified Reliability Engineer, and Caterpillar Six Sigma Black Belt. Dr. Li has publications in many journals including IIE transactions, IEEE T-Rel, reliability engineering and system safety, and quality engineering. He serves as Associate Editors for international journals of International journal of Performability engineering and IEEE Transactions on Reliability. His most recent industry position was a reliability team lead with Caterpillar Rail Division to support the company’s Tier 4 Locomotive New Four Stroke Engine and Gas-Diesel Dual Fuel Engine Development.