KNOWLEDGE MANAGEMENT IN SOFTWARE DEVELOPMENT BASED ON THE LEAVITT’S MODEL: TRADITIONAL VERSUS AGILE METHODS
Published In: 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): MINA ZIAEI NAFCHI , TAGHI JAVDANI GANDOMANI
Abstract: Knowledge management has been a challenging issue in software projects. D ue to the knowledge driven nature of the software products, paying enough attention to this concept is necessary. Recently, Agile methods are widely used in software companies. A big challenge in these methods in associated with knowledge management, is la ck of formal communication and documentation. Meanwhile, several knowledge management models have been proposed in which Leavitt’s model is famous one. This study tries to adopt Leavitt’s model to Agile methods and map this model to structure of the Agile methods.
- Publication Date: 03-Sep-2017
- DOI: 10.15224/978-1-63248-131-3-09
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FUZZIFICATION USING APPROXIMATION WITH FUZZY CONTROLLERS TO EXTRACT STRUCTURE AND MOTION ENVIRONMENTS IN DYNAMIC HUMANOID ROBOTIC SYSTEM FROM THE OPTED AND FORCED UNCERTAINTY BY QUANTIZATION IN NONMONOTONE NEURAL NETWORKS.
Published In: 5TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND INFORMATION TECHNOLOGY
Author(s): ASHOK KUMAR RAMADOSS
Abstract: Fuzzy controllers are special expert systems .Each employs a knowledge base,expressed in terms of relevant fuzzy inference rules, and an appropriate inference engine to solve this control problem which vary substantially according to the nature of the control problems in this research the control problem is a complex task in this robotics research which require a multitude of coordinated actions such a s maintaining a prescribed state of single variable ,which are capable of utilizing kn owledge elici ted from human operators extended to dynamic robotic system with nonmonotone neural networks.
- Publication Date: 03-Sep-2017
- DOI: 10.15224/978-1-63248-131-3-10
- Views: 0
- Downloads: 0