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学术报告(LiGuo Huang)

题目:Human-Machine Cooperative Software Assurance

报告人:LiGuo Huang
Department of Computer Science and Engineering,Southern Methodist University

时间:2010年6月18日14:00

地点:蒙民伟楼109

摘要:
Software is an increasingly critical source of risks in the products and services that we use and consume in our daily life. Reducing these software risks is increasingly important to business and governmental organizations' economic competitiveness and to people's quality of life. Software Assurance is an umbrella risk identification and mitigation strategy for mission and safety assurance of software systems. Among various activities of software assurance, risk assurance and requirements traceability assurance are two critical and valuable ones to be addressed early and incrementally revisited in the development life cycle. However, manual risk assurance and requirements traceability assurance are often tedious and incomplete based on the unstructured natural language text, which largely reduce the confidence level of assurance. For instance, to determine the correctness and completeness of the many-to-many relationships between functional and non-functional requirements (FRs and NFRs) is a particularly tedious and error prone activity for assurance personnel to perform. Thus automated tools need to be developed to discover risk and mitigation association patterns, requirements traceability links easily omitted by assurance personnel while reducing manual effort. In the meanwhile, although automated/semi-automated requirement traceability approaches have been investigated, completeness is still one of the biggest concerns. In order to improve the confidence level and maximize the value of requirement traceability assurance, effective and efficient support for cooperation between assurance personnel and tools is in a great need and yet lacking in state-of-the-art research and practice. This research explores synergistic cooperation between assurance personnel and text mining tools to reduce the uncertainties and achieve the higher level of software assurance confidence in a cost-effective way.

简介:
LiGuo Huang, Assistant Professor of Computer Science and Engineering Department at the Southern Methodist University (SMU), Dallas, TX, USA. She received both her Ph.D. (2006) and M.S. from the Computer Science Department and Center for Systems and Software Engineering (CSSE) at the University of Southern California (USC). Her current research centers around process modeling, simulation and improvement, mining systems and software engineering repository, software quality assurance, information dependability, stakeholder/value-based systems and software engineering, and software metrics. She currently holds the grants from the US Department of Defense. She had been intensively involved in initiating the research on stakeholder/value-based integration of systems and software engineering and published related papers in IEEE Computer and IEEE Software. She has been invited as the reviewer for TSE, JSS, JSME, IST, IJSI and serving in the PC of several international software engineering conferences, forums and workshops including ICSP, PROFES, PROMISE, etc. She is the Asian Chair of CSEE&T 2011 (co-located with ICSE 2011) at Hawaii and a member of the IEEE.



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