Dynamic systems development: Towards continuity, growth and evolution

Darren Dalcher

doi:10.1109/ECBS.2003.1194784

Dynamic systems development: Towards continuity, growth and evolution

Darren Dalcher

Hertfordshire Business School

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

The dynamic nature of knowledge and software evolution and usage present a pervasive challenge to system developers. Discrete attempts to create such systems often lead to a mismatch between system, expectation and a changing reality. The rationale for a Dynamic Feedback Model stems from the need to focus on a continuous and long-term perspective of development and growth in change-intensive environments. This paper makes the case for a learning and knowledge-driven view of software development and presents such a model in a way that accounts for the long-term survival, growth and evolution of software-intensive systems.

Original language	English
Title of host publication	Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems
Subtitle of host publication	ECBS 2003
Editors	S. Kawada
Place of Publication	LOS ALAMITOS
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	62-71
Number of pages	10
ISBN (Print)	0-7695-1917-2
DOIs	https://doi.org/10.1109/ECBS.2003.1194784
Publication status	Published - 2003
Event	10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems - HUNTSVILLE Duration: 7 Apr 2003 → 10 Apr 2003

Conference

Conference	10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems
City	HUNTSVILLE
Period	7/04/03 → 10/04/03

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10.1109/ECBS.2003.1194784

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title = "Dynamic systems development: Towards continuity, growth and evolution",

abstract = "The dynamic nature of knowledge and software evolution and usage present a pervasive challenge to system developers. Discrete attempts to create such systems often lead to a mismatch between system, expectation and a changing reality. The rationale for a Dynamic Feedback Model stems from the need to focus on a continuous and long-term perspective of development and growth in change-intensive environments. This paper makes the case for a learning and knowledge-driven view of software development and presents such a model in a way that accounts for the long-term survival, growth and evolution of software-intensive systems.",

author = "Darren Dalcher",

year = "2003",

doi = "10.1109/ECBS.2003.1194784",

language = "English",

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editor = "S. Kawada",

booktitle = "Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems ; Conference date: 07-04-2003 Through 10-04-2003",

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Dalcher, D 2003, Dynamic systems development: Towards continuity, growth and evolution. in S Kawada (ed.), Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems: ECBS 2003. Institute of Electrical and Electronics Engineers (IEEE), LOS ALAMITOS, pp. 62-71, 10th IEEE International Conference and Workshop on the Engineering of Computer-Based Systems, HUNTSVILLE, 7/04/03. https://doi.org/10.1109/ECBS.2003.1194784

Dynamic systems development: Towards continuity, growth and evolution. / Dalcher, Darren.
Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems: ECBS 2003. ed. / S. Kawada. LOS ALAMITOS: Institute of Electrical and Electronics Engineers (IEEE), 2003. p. 62-71.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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PY - 2003

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N2 - The dynamic nature of knowledge and software evolution and usage present a pervasive challenge to system developers. Discrete attempts to create such systems often lead to a mismatch between system, expectation and a changing reality. The rationale for a Dynamic Feedback Model stems from the need to focus on a continuous and long-term perspective of development and growth in change-intensive environments. This paper makes the case for a learning and knowledge-driven view of software development and presents such a model in a way that accounts for the long-term survival, growth and evolution of software-intensive systems.

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DO - 10.1109/ECBS.2003.1194784

M3 - Conference contribution

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EP - 71

BT - Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems

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PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - LOS ALAMITOS

Y2 - 7 April 2003 through 10 April 2003

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Dynamic systems development: Towards continuity, growth and evolution

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