Roundtable： Research Opportunities and Challenges for Emerging Software Systems  

作　　者：张翔宇 张冬梅 Yves Le Traon 王青 张路 

机构地区：[1]Department of Computer Science, Purdue University, West Lafayette, IN 47907, U.S.A. [2]Microsoft Research, Beijing 100080, China [3]Faculty of Science, Technology and Communication, University of Luxembourg, Luxembourg [4]Institute of Software, Chinese Academy of Sciences, Beijing 100190, China [5]School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China

出　　处：《Journal of Computer Science & Technology》2015年第5期935-941,共7页计算机科学技术学报（英文版）

摘　　要：For this special section on software systems special section, discuss important issues that will shape several research leaders in software systems, as guest editors for this this field＇s future directions. The essays included in this roundtable article cover research opportunities and challenges for emerging software systems such as data processing programs （Xiangyu Zhang） and online services （Dongmei Zhang）, with new directions of technologies such as unifications in software testing （Yves Le Traon）, data-driven and evidence-based software engineering （Qing Wang）, and dynamic analysis of multiple traces （Lu Zhang）. Tao Xie, Leading Editor of Special Section on Softwaare Svstem.For this special section on software systems special section, discuss important issues that will shape several research leaders in software systems, as guest editors for this this field＇s future directions. The essays included in this roundtable article cover research opportunities and challenges for emerging software systems such as data processing programs （Xiangyu Zhang） and online services （Dongmei Zhang）, with new directions of technologies such as unifications in software testing （Yves Le Traon）, data-driven and evidence-based software engineering （Qing Wang）, and dynamic analysis of multiple traces （Lu Zhang）. Tao Xie, Leading Editor of Special Section on Softwaare Svstem.

关 键 词：data processing program software analytics online service software testing data-driven software engineering evidence-based software engineering 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论] TS207.7[自动化与计算机技术—计算机科学与技术]