DSS from an RE Perspective: A systematic mapping
| Autor: | Ruth Raventós, Stephany García, Oscar Romero |
|---|---|
| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació |
| Rok vydání: | 2016 |
| Předmět: |
Engineering
Decision support system Process management Informàtica::Enginyeria del software [Àrees temàtiques de la UPC] 02 engineering and technology Decision support systems Business intelligence Sistemes d'ajuda a la decisió Return on investment 0202 electrical engineering electronic engineering information engineering Requirements engineering business.industry Management science Perspective (graphical) User satisfaction 020207 software engineering Failure rate Data warehouse Hardware and Architecture 020201 artificial intelligence & image processing business Software Intel·ligència competitiva Information Systems |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) Recercat. Dipósit de la Recerca de Catalunya instname |
| ISSN: | 0164-1212 |
| Popis: | Decision support systems (DSS) provide a unified analytical view of business data to better support decision-making processes. Such systems have shown a high level of user satisfaction and return on investment. However, several surveys stress the high failure rate of DSS projects. This problem results from setting the wrong requirements by approaching DSS in the same way as operational systems, whereas a specific approach is needed. Although this is well-known, there is still a surprising gap on how to address requirements engineering (RE) for DSS.; To overcome this problem, we conducted a systematic mapping study to identify and classify the literature on DSS from an RE perspective. Twenty-seven primary studies that addressed the main stages of RE were selected, mapped, and classified into 39 models, 27 techniques, and 54 items of guidance. We have also identified a gap in the literature on how to design the DSS main constructs (typically, the data warehouse and data flows) in a methodological manner from the business needs. We believe this study will help practitioners better address the RE stages of DSS projects. |
| Databáze: | OpenAIRE |
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