The Dynamical Models for Software Technology Transition
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Authors
Luqi
Zhang, L.
Saboe, M.
Subjects
Advisors
Date of Issue
2004-08
Date
April 2004
Publisher
World Scientific Publishing
Language
en_US
Abstract
Currently, systematic techniques for assessing macro mechanisms for transferring soft ware engineering technologies are non-existent. This leads to inefficient allocation of research resources and increased risk to software technology intensive programs. Con sequently, software technology transition today is an ill-defined and non-repeatable, inefficient process for bringing advanced software engineering technologies to market. This paper develops two dynamical models of a software technology transition from both macroscopic and microscopic views. The models are developed utilizing informa tion theory, communication theory, chaos control theory, and learning curve principles. The combination of those scientifically sound mechanisms provides a basis for assessing, and/or prescribing a portfolio of technologies and the implementing macro infrastruc ture. This provides the theoretical framework for a practical method for a program manager to establish a high capacity transition channel, which accelerates technology maturation and insertion. Experiments based on very large number of data have been performed. Data samples assess the following technologies: software engineering, soft ware technology transfer, Ada, Java, abstract data types, rate monotonic analysis, cost models, software standards, and software work breakdown structures.
Type
Article
Description
Series/Report No
Department
Computer Science (CS)
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
27 p.
Citation
Luqi, L. Zhang, M. Saboe, ''The Dynamical Models for Software Technology Transition", International Journal of Software Engineering & Knowledge Engineering, Vol. 14, No. 2, April 2004, pp. 179-206.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.