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Dynamic systems development: Towards continuity, growth and evolution

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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. IEEE COMPUTER SOC, 2003. p. 62-71.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Dalcher, D 2003, Dynamic systems development: Towards continuity, growth and evolution. in Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems. IEEE COMPUTER SOC, pp. 62-71. https://doi.org/10.1109/ECBS.2003.1194784

APA

Dalcher, D. (2003). Dynamic systems development: Towards continuity, growth and evolution. In Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems (pp. 62-71). IEEE COMPUTER SOC. https://doi.org/10.1109/ECBS.2003.1194784

Vancouver

Dalcher D. Dynamic systems development: Towards continuity, growth and evolution. In Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems. IEEE COMPUTER SOC. 2003. p. 62-71 doi: 10.1109/ECBS.2003.1194784

Author

Dalcher, Darren. / Dynamic systems development : Towards continuity, growth and evolution. Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems. IEEE COMPUTER SOC, 2003. pp. 62-71

Bibtex

@inbook{4e85fd092a614e1aa11605a7d491f0a1,
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",
isbn = "0769519172",
pages = "62--71",
booktitle = "Procs of 10th IEEE Int Conf and Workshop on the Engineering of Computer-Based Systems",
publisher = "IEEE COMPUTER SOC",

}

RIS

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AU - Dalcher, Darren

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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.

AB - 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.

U2 - 10.1109/ECBS.2003.1194784

DO - 10.1109/ECBS.2003.1194784

M3 - Chapter

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EP - 71

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

PB - IEEE COMPUTER SOC

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