A multi-criteria stochastic approach to prioritize user-stories in Agile Software Development
| Autor: | Hernán Astudillo, Javier Pereira, Jonatas Araujo de Almeida, Fredy H. Vera Rivera, Pedro Contreras |
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| Rok vydání: | 2020 |
| Předmět: |
Prioritization
Operations research Computer science business.industry media_common.quotation_subject User story 020207 software engineering 02 engineering and technology Ambiguity Interdependence Ranking Multi criteria Robustness (computer science) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Agile software development media_common |
| Zdroj: | SCCC |
| DOI: | 10.1109/sccc51225.2020.9281257 |
| Popis: | In this article, a multi-criteria approach is proposed to prioritize user-stories in an Agile Software Development environment. User-stories are characterized by their interdependencies and the effort of development. The PROMETHEE II multi-criteria method is proposed as a technique to find a ranking of user-stories, but it needs information about preference thresholds and criteria weights. These parameters are considered stochastic variables and a simulation process is performed to explore robustness of the user-stories prioritization. We show that the information provided by the approach reveals zones of ambiguity in which some user-stories cannot be ranked. An example illustrates this approach and its utility is analyzed. Limitations of the approach are discussed and future research is proposed. |
| Databáze: | OpenAIRE |
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