Coping with evolution in information systems: a database perspective
Business organisations today are faced with the complex problem of dealing with evolution in their software information systems. This effectively concerns the accommodation and facilitation of change, in terms of both changing user requirements and changing technological requirements. An approach...
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Online Access: | Lawrence, Gregory (2002) Coping with evolution in information systems: a database perspective, University of South Africa, Pretoria, <http://hdl.handle.net/10500/1123> http://hdl.handle.net/10500/1123 |
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ndltd-netd.ac.za-oai-union.ndltd.org-unisa-oai-uir.unisa.ac.za-10500-11232018-11-19T17:14:01Z Coping with evolution in information systems: a database perspective Lawrence, Gregory Renaud, Karen Vera Software evolution Requirements change Schema evolution Conceptual modelling Meta-modelling Model-Driven Architecture Orthogonal persistence Persistent application system Evolvability Software development life-cycle Information System design and development Database design Database evolution Application evolution Unanticipated change 005.74 Database management Computer software -- Development Computer architecture Business organisations today are faced with the complex problem of dealing with evolution in their software information systems. This effectively concerns the accommodation and facilitation of change, in terms of both changing user requirements and changing technological requirements. An approach that uses the software development life-cycle as a vehicle to study the problem of evolution is adopted. This involves the stages of requirements analysis, system specification, design, implementation, and finally operation and maintenance. The problem of evolution is one requiring proactive as well as reactive solutions for any given application domain. Measuring evolvability in conceptual models and the specification of changing requirements are considered. However, even "best designs" are limited in dealing with unanticipated evolution, and require implementation phase paradigms that can facilitate an evolution correctly (semantic integrity), efficiently (minimal disruption of services) and consistently (all affected parts are consistent following the change). These are also discussed Computing M. Sc. (Information Systems) 2009-08-25T10:49:46Z 2009-08-25T10:49:46Z 2002-11 2009-08-25T10:49:46Z Dissertation Lawrence, Gregory (2002) Coping with evolution in information systems: a database perspective, University of South Africa, Pretoria, <http://hdl.handle.net/10500/1123> http://hdl.handle.net/10500/1123 en 1 online resource (107 leaves) |
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en |
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Software evolution Requirements change Schema evolution Conceptual modelling Meta-modelling Model-Driven Architecture Orthogonal persistence Persistent application system Evolvability Software development life-cycle Information System design and development Database design Database evolution Application evolution Unanticipated change 005.74 Database management Computer software -- Development Computer architecture |
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Software evolution Requirements change Schema evolution Conceptual modelling Meta-modelling Model-Driven Architecture Orthogonal persistence Persistent application system Evolvability Software development life-cycle Information System design and development Database design Database evolution Application evolution Unanticipated change 005.74 Database management Computer software -- Development Computer architecture Lawrence, Gregory Coping with evolution in information systems: a database perspective |
description |
Business organisations today are faced with the complex problem of dealing with
evolution in their software information systems. This effectively concerns the
accommodation and facilitation of change, in terms of both changing user
requirements and changing technological requirements. An approach that uses the
software development life-cycle as a vehicle to study the problem of evolution is
adopted. This involves the stages of requirements analysis, system specification,
design, implementation, and finally operation and maintenance. The problem of
evolution is one requiring proactive as well as reactive solutions for any given
application domain. Measuring evolvability in conceptual models and the
specification of changing requirements are considered. However, even "best designs"
are limited in dealing with unanticipated evolution, and require implementation phase
paradigms that can facilitate an evolution correctly (semantic integrity), efficiently
(minimal disruption of services) and consistently (all affected parts are consistent
following the change). These are also discussed === Computing === M. Sc. (Information Systems) |
author2 |
Renaud, Karen Vera |
author_facet |
Renaud, Karen Vera Lawrence, Gregory |
author |
Lawrence, Gregory |
author_sort |
Lawrence, Gregory |
title |
Coping with evolution in information systems: a database perspective |
title_short |
Coping with evolution in information systems: a database perspective |
title_full |
Coping with evolution in information systems: a database perspective |
title_fullStr |
Coping with evolution in information systems: a database perspective |
title_full_unstemmed |
Coping with evolution in information systems: a database perspective |
title_sort |
coping with evolution in information systems: a database perspective |
publishDate |
2009 |
url |
Lawrence, Gregory (2002) Coping with evolution in information systems: a database perspective, University of South Africa, Pretoria, <http://hdl.handle.net/10500/1123> http://hdl.handle.net/10500/1123 |
work_keys_str_mv |
AT lawrencegregory copingwithevolutionininformationsystemsadatabaseperspective |
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