creating process-agents incrementally by mining process asset library

ISCAS OpenIR

	creating process-agents incrementally by mining process asset library
	Huang Hui; Xiao Junchao; Yang Qiusong; Wang Qing; Wu Hong
	2013
发表期刊	Information Sciences
ISSN	0020-0255
页码	-
摘要	Software process trustworthiness is the degree of confidence that a software process produces expected trustworthy work products that satisfy requirements. Software processes are dynamic and highly people-dependent. The performance of software processes relies not only on the process itself, but also on the personnel's capabilities. Therefore, management of human resources and evaluation of a company's work force capabilities are crucial and will affect software process trustworthiness. Our software process modeling method OEC-SPM (Organization-Entity Capability based Software Process Modeling) has been shown to take into account personnel's capabilities and groups software developers with certain capabilities into a Process-Agent, which is a way of organizing human resources and process asset libraries in software organizations, and will help to improve trustworthiness of software processes. This paper proposes a novel method for incrementally mining Process-Agents from process asset libraries to support OEC-SPM. The method can automatically and incrementally create Process-Agents under three scenarios with high efficiency. Furthermore, we assess the method with the data from real industry setting. The results show that the utilization of human resources in an organization can be optimized when personnel's capabilities are taken into account. Additionally, reasonable resource scheduling making use of Process-Agents will result in higher trustworthiness. © 2013 Elsevier Inc. All rights reserved.; Software process trustworthiness is the degree of confidence that a software process produces expected trustworthy work products that satisfy requirements. Software processes are dynamic and highly people-dependent. The performance of software processes relies not only on the process itself, but also on the personnel's capabilities. Therefore, management of human resources and evaluation of a company's work force capabilities are crucial and will affect software process trustworthiness. Our software process modeling method OEC-SPM (Organization-Entity Capability based Software Process Modeling) has been shown to take into account personnel's capabilities and groups software developers with certain capabilities into a Process-Agent, which is a way of organizing human resources and process asset libraries in software organizations, and will help to improve trustworthiness of software processes. This paper proposes a novel method for incrementally mining Process-Agents from process asset libraries to support OEC-SPM. The method can automatically and incrementally create Process-Agents under three scenarios with high efficiency. Furthermore, we assess the method with the data from real industry setting. The results show that the utilization of human resources in an organization can be optimized when personnel's capabilities are taken into account. Additionally, reasonable resource scheduling making use of Process-Agents will result in higher trustworthiness. © 2013 Elsevier Inc. All rights reserved.
收录类别	EI
关键词	Libraries Process Engineering
部门归属	(1) Laboratory for Internet Software Technologies Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) Graduate University of Chinese Academy of Sciences Beijing 100049 China
语种	英语
WOS记录号	WOS:000317546100011
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15234
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Huang Hui,Xiao Junchao,Yang Qiusong,et al. creating process-agents incrementally by mining process asset library[J]. Information Sciences,2013:-.
APA	Huang Hui,Xiao Junchao,Yang Qiusong,Wang Qing,&Wu Hong.(2013).creating process-agents incrementally by mining process asset library.Information Sciences,-.
MLA	Huang Hui,et al."creating process-agents incrementally by mining process asset library".Information Sciences (2013):-.