DocumentCode :
2919706
Title :
A provenance-based solution for software selection in scientific software sharing
Author :
Xing Huang ; Tun Lu ; Xianghua Ding ; Tiejiang Liu ; Ning Gu
Author_Institution :
Sch. of Comput. Sci., Fudan Univ., Shanghai, China
fYear :
2013
fDate :
27-29 June 2013
Firstpage :
172
Lastpage :
177
Abstract :
As a form of collaborative work, sharing plays an important role in scientific research. Scientists share their discoveries with others by the ways of publishing paper, data and software. It promotes the development of research. With the increasing number of scientific software and more and more open source communities springing up, software selection becomes an urgent issue in sharing. In this paper, from the users´ perspectives, we first propose a collaborative provenance model, which is designed to record the collaborative information between users and software. Then, drawing on ethnographic method, we explore the elements influencing the choice of users, and quantify them. On that basis, an algorithm is introduced to select the software for each process in workflow. For the whole workflow, a composition selection algorithm is presented.
Keywords :
groupware; software selection; collaborative provenance model; collaborative work; composition selection algorithm; ethnographic method; open source communities; provenance-based solution; scientific software sharing; software selection; Collaboration; Communities; Data models; Open source software; Software algorithms; Web services; data provenance; software sharing; workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2013 IEEE 17th International Conference on
Conference_Location :
Whistler, BC
Print_ISBN :
978-1-4673-6084-5
Type :
conf
DOI :
10.1109/CSCWD.2013.6580958
Filename :
6580958
Link To Document :
بازگشت