Author List: Wrigley, Clive D.; Dexter, Albert S.;
MIS Quarterly, 1991, Volume 15, Issue 2, Page 245-257.
Management of the software development process requires a thorough understanding of the environment in which development takes place. Ability to estimate, plan, and manage resource consumption is limited by the central problem of determining the size of system specifications. To address this issue, a general strategy for measurement and evaluation of system development environments needs to be established. This article presents a research model that will help managers and researchers understand and establish the linkages between units of systems requirements specification, design, and source code. Initial validation of the model was performed by reverse engineering systems written in a fourth generation language from source code to design metrics. Results indicate that the model may provide reliable measures of system size in terms of both design metrics and lines of code.
Keywords: field study; fourth generation languages; Models and principles; reverse engineering; software management; software metrics; tools and techniques
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#261 0.315 software development maintenance case productivity application tools systems function tool engineering projects effort code developed applications analysis estimation methodology methods
#191 0.097 model models process analysis paper management support used environment decision provides based develop use using help literature mathematical presented formulation
#124 0.089 validity reliability measure constructs construct study research measures used scale development nomological scales instrument measurement researchers developed validation discriminant results
#270 0.070 design designs science principles research designers supporting forms provide designing improving address case little space criteria methods increasing synthesis designer
#68 0.054 business units study unit executives functional managers technology linkage need areas information long-term operations plans mission large understand knowledge current