Title: Towards a problem-value-constraint framework for maximising business value through minimising under design and over design

Authors: Yucong Duan; Guohua Fu; Nianjun Zhou; Xiaobing Sun; Mingdong Tang; Honghao Gao

Addresses: College of Information Science and Technology, Hainan University, 570228, Haikou, China ' College of Information Science and Technology, Hainan University, 570228, Haikou, China ' IBM T.J Watson Research Center, Yorktown Heights, NY 10598, USA ' School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China ' College of Computer Science, Hunan University of Science and Technology, Xiangtan,Hunan, China ' Computing Center, Shanghai University, 200444, Shanghai, China

Abstract: We have identified there is a need to systemically reduce the complexity and increase the robustness of developed service systems through a guided development process. We empirically choose under design (UD) and over design (OD) as core value assets to uniformly represent the target of managing the human errors and deficiencies during a development process. Based on the ideology of value driven design, we proposed the problem-value-constraint (PVC) approach as the framework of minimising UD and OD covering both IT concerns including functionalities and qualities and business concerns including value, cost, price and usage. Our PVC solution connects the characteristics including knowledge management, information transformation and business value. Our study showed that PVC is able to outline both business and technical characteristics and at the same time keep the simplicity of model structures.

Keywords: SOA; service-oriented architecture; software development; web services; over-design; knowledge management; information transformation; value engineering; problem-value-constraint framework; business value; under-design; value driven design.

DOI: 10.1504/IJSTM.2016.077670

International Journal of Services Technology and Management, 2016 Vol.22 No.1/2, pp.120 - 141

Received: 03 Aug 2015
Accepted: 10 Feb 2016
Published online: 12 Jul 2016 *

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