The Influence of the Information Systems Development Approach on Maintenance.

Author List: Dekleva, Sasa M.;
MIS Quarterly, 1992, Volume 16, Issue 3, Page 355-372.
This is an exploratory field study that examines the influence of selected system development methodologies on maintenance time. A number of factors related to the early stages of information systems development and to information systems maintenance were investigated: development methodology, maintenance time and its allocation, number of users, their understanding and involvement, system documentation, software quality, system characteristics, project controllability, system size and age, organization of the maintenance function, use of tools, ability of personnel, stability of organization and others. The survey findings do not support the proposition that the application of modern information systems development methodology decreases maintenance time. However, some benefits are identified. Time spent on emergency error correction, as well as the number of system failures, decreased significantly with the application of modern methodology. Systems developed with modem methodologies seem to facilitate making greater changes in functionality as the systems age.
Keywords: software engineering; software maintenance; systems analysis systems maintenance.; systems development
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List of Topics

#261 0.219 software development maintenance case productivity application tools systems function tool engineering projects effort code developed applications analysis estimation methodology methods
#294 0.151 development systems methodology methodologies information framework approach approaches paper analysis use presented applied assumptions based proposed described examines basis proposes
#159 0.143 systems information objectives organization organizational development variety needs need efforts technical organizations developing suggest given effective designing lack help recent
#198 0.112 factors success information critical management implementation study factor successful systems support quality variables related results key model csf importance determinants
#40 0.101 increased increase number response emergency monitoring warning study reduce messages using reduced decreased reduction decrease act sessions cost good key
#193 0.071 time use size second appears form larger benefits combined studies reasons selected underlying appear various significantly result include make attention
#128 0.061 dynamic time dynamics model change study data process different changes using longitudinal understanding decisions develop temporal reveal associated state identifies
#96 0.050 errors error construction testing spreadsheet recovery phase spreadsheets number failures inspection better studies modules rate replicated detection correction optimal discovering