[08-08] 2019 ISCAS-USC 联合学术研讨会

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                                                         2019 ISCAS-USC 联合学术研讨会 

 

  时间:201988日(周四)上午9:00 

  地点:软件所5号楼4层大报告厅 

      学术研讨会特别邀请了美国南加州大学教授Barry Boehm作题为“Opportunities and Challenges for Big Data and Software Automation”的特邀报告。软件所王俊杰、软件所石琳、南京大学张雷、美国南加州大学博士生王博等人介绍智能软件工程领域的最新研究成果。 

  Barry Boehm简介: 

      Barry W. Boehm is the University of Southern California Distinguished Professor of Computer Science, Industrial and Systems Engineering, and Astronautics; the TRW Professor of Software Engineering; and Founding Director of the USC Center for Systems and Software Engineering. He is also the Chief Scientist of the DoD-Stevens-USC Systems Engineering Research Center, and a part-time employee of the Aerospace Corp. He is known for his many contributions to the area of software engineering, include "the Constructive Cost Model (COCOMO), the spiral model of the software process, the Theory W (win-win) approach to software management and requirements determination and two advanced software engineering environments: the TRW Software Productivity System and Quantum Leap Environment". 

    

  具体日程如下,欢迎大家积极参加!! 

    

Time 

Speaker 

Title 

9:00-9:15 

Qing Wang 

(ISCAS/iTechs)

Workshop Opening 

9:15-10:00 

Barry Boehm 

(University of Southern California)

Opportunities and Challenges for Big Data and Software Automation 

10:00-10:30 

Chongjun Wang, Lei Zhang 

(Nanjing University)

AI Techniques for Collective Intelligence & Some of Our Work 

10:30-10:45 

Lin Shi 

(ISCAS/iTechs)

Analyzing and Mining Crowd Requirements from Social Media 

10:45-11:00 

Junjie Wang 

(ISCAS/iTechs)

Completion-aware Crowdtesting Management 

11:00-11:15 

Kan Qi 

(University of Southern California)

 Incremental Effort Estimation via Transaction Analysis 

11:15-11:30 

Mingyang Li 

(ISCAS/iTechs)

Automated Functional Size Measurement 

11:30-11:45 

Bo Wang 

(University of Southern California)

Process Implication of Generating Microservices 

11:45-12:00 

Yawen Wang 

(ISCAS/iTechs)

A One-to-Many Deep Recognizer for Requirement Analysis