DocumentCode :
2233478
Title :
Knowledge Conversion in Software Requirement Elicitation
Author :
Wan Jiang-ping ; Huang De-yi ; Wan Dan
Author_Institution :
Sch. of Bus. Adm., SCUT, Guangzhou, China
fYear :
2009
fDate :
26-28 Dec. 2009
Firstpage :
2328
Lastpage :
2331
Abstract :
Firstly, the characteristics of tacit requirements are analyzed. Then the knowledge conversion of requirement elicitation from socialization to externalization, to combination and to internalization are exported according to SECI Spiral Model. These processes are processes dealing with tacit and explicit requirements. And when analyzing the knowledge flow, we find that the bottleneck of requirement eliciting is the knowledge dissymmetry between clients and developers. It is concluded that the knowledge gap is the driving force of software requirements elicitation and the foundation of their cooperation. Clients must learn actively from requirement experts, or developers. Developers should learn the business knowledge from requirement experts and clients actively. What´s more, requirement experts must learn all the knowledge, because they are the bridge over the gap. This is an iterative learning process, in which each part gets feedback from other parts. Finally, based on SECI Spiral Model and knowledge flow theory aforementioned, a knowledge conversion model is put forward. In this model there are some factors must be paid attention to in requirement elicitation, such as communication technology, lenient interrelationship, multi-validation, etc. Finally, the model is explained with two examples.
Keywords :
iterative methods; learning (artificial intelligence); systems analysis; SECI spiral model; communication technology; iterative learning process; knowledge conversion model; knowledge dissymmetry; knowledge flow theory; software requirement elicitation; Bridges; Communications technology; Feedback; Forward contracts; Information analysis; Information science; Knowledge management; Pattern analysis; Prototypes; Spirals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
Type :
conf
DOI :
10.1109/ICISE.2009.706
Filename :
5455562
Link To Document :
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