Selecting an End User Programming Language for DSS Development.

Author List: Meador, C. Lawrence; Mezger, Richard A.;
MIS Quarterly, 1984, Volume 8, Issue 4, Page 267-281.
Today managers and policy makers are confronted with an overwhelming range of choices of computer software to develop decision support systems (DSS). The authors argue that DSS language evaluation and selection should be a multi-step process involving most, if not all, of the following: 1. End User Needs Assessment and Problem Diagnosis 2. Critical Success Factor Identification 3. Feature Analysis and Capability Review 4. Demonstration Prototype Development 5. External User Surveys 6. Benchmark and Simulation Tests 7. Programmer Productivity and End User Orientation Analysis The objectives of each of these activities are described, as well as specific procedures for accomplishing them. In addition, the authors discuss the usefulness of a multi-disciplinary task force to accomplish the DSS language evaluation and selection process.
Keywords: architectural features; Decision support systems; end user computing; software evaluation; user needs assessment
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List of Topics

#113 0.180 support decision dss systems guidance process making environments decisional users features capabilities provide decision-making user paper findings systems.decision components computer-based
#134 0.166 users end use professionals user organizations applications needs packages findings perform specialists technical computing direct future selection ability help software
#157 0.145 evaluation effectiveness assessment evaluating paper objectives terms process assessing criteria evaluations methodology provides impact literature potential important evaluated identifying multiple
#253 0.118 user involvement development users satisfaction systems relationship specific results successful process attitude participative implementation effective application authors suggested user's contingency
#297 0.115 programming program programmers pair programs pairs software development problem time language application productivity best nominal languages programmer generators working reduces
#147 0.083 process problem method technique experts using formation identification implicit analysis common proactive input improvements identify traditional stages identifying explicit setting