Methodology and Tool to Facilitate Structured Analysis of Multiple Hypotheses
Autor: | Magdalena Granasen, Maja Karasalo |
---|---|
Rok vydání: | 2016 |
Předmět: |
Iterative and incremental development
Structured analysis Process (engineering) Computer science business.industry Iterative method 05 social sciences Multiple hypotheses 050109 social psychology Machine learning computer.software_genre Analysis of competing hypotheses Structuring Visualization 03 medical and health sciences 0302 clinical medicine 0501 psychology and cognitive sciences 030212 general & internal medicine Artificial intelligence business computer |
Zdroj: | EISIC |
DOI: | 10.1109/eisic.2016.017 |
Popis: | This paper describes the final development of a method and technical tool developed to support structured analysis of multiple hypotheses. The developed analysis method is an iterative process combining Morphological Analysis (MA) and Analysis of Competing Hypotheses (ACH). MA is originally developed for structuring a complex problem space, while ACH is developed for hypothesis evaluation. The combination of these, aided by the tool, facilitates problem structuring, visualization of information as well as evidence-based evaluation of hypotheses. Throughout the development of the tool, functionality and methodology have been tested through user studies involving professional analysts from various disciplines. The combination of the two methods into one integrated process supported by the tool proved successful, enabling a structured, traceable and transparent analysis from problem identification all the way to evaluation. |
Databáze: | OpenAIRE |
Externí odkaz: |