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Creating Process-Agents incrementally by mining process asset library

Authors:

Hong WuAuthors Info & Claims

Information Sciences—Informatics and Computer Science, Intelligent Systems, Applications: An International Journal, Volume 233

Pages 183 - 199

https://doi.org/10.1016/j.ins.2012.12.052

Published: 01 June 2013 Publication History

Abstract

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.

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Cited By

Chen CLee J(2022)Comparative effects of knowledge-based antecedents in different realms of CMMI-based software process improvement successComputer Standards & Interfaces10.1016/j.csi.2021.10359981:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.csi.2021.103599
Yin YYuan HZhang B(2017)Dynamic behavioral assessment model based on Hebb learning ruleNeural Computing and Applications10.1007/s00521-016-2341-528:1(245-257)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s00521-016-2341-5
Li CGe JHuang LHu HWu BYang HHu HLuo B(2016)Process mining with token carried dataInformation Sciences: an International Journal10.1016/j.ins.2015.08.050328:C(558-576)Online publication date: 20-Jan-2016
https://dl.acm.org/doi/10.1016/j.ins.2015.08.050

Creating Process-Agents incrementally by mining process asset library
1. Software and its engineering
  1. Software creation and management

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cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 233, Issue

June, 2013

321 pages

ISSN:0020-0255

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Copyright © Elsevier Inc. © 2013.

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Elsevier Science Inc.

United States

Publication History

Published: 01 June 2013

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Cited By

Chen CLee J(2022)Comparative effects of knowledge-based antecedents in different realms of CMMI-based software process improvement successComputer Standards & Interfaces10.1016/j.csi.2021.10359981:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.csi.2021.103599
Yin YYuan HZhang B(2017)Dynamic behavioral assessment model based on Hebb learning ruleNeural Computing and Applications10.1007/s00521-016-2341-528:1(245-257)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s00521-016-2341-5
Li CGe JHuang LHu HWu BYang HHu HLuo B(2016)Process mining with token carried dataInformation Sciences: an International Journal10.1016/j.ins.2015.08.050328:C(558-576)Online publication date: 20-Jan-2016
https://dl.acm.org/doi/10.1016/j.ins.2015.08.050

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