A Novel Hybrid Multiple Attribute Decision Making Procedure for Aspired Agile Application
Chou Shuo-Yan, Tzeng Gwo-Hshiung, Yu Chien-Chou · Advances in transdisciplinary engineering · 2015
This study proposes a novel hybrid multiple attribute decision-making (HMADM) procedure to ensure that aspiration levels of the agile application outcomes are achieved. The agile is a concept widely applied by organizations worldwide to enhance their capabilities for better managing software development projects. The agile application requires a pragmatic procedure to handle decision making and continuous improvements over the application life cycle. The proposed procedure evaluates and systemizes inter-influence effects among agile application factors in a context of an influential network relation map (INRM). The INRM helps managers find routes in making application decisions, meanwhile, determining improvement strategies for implementing the selected decisions toward aspiration levels. A numerical example is used to illustrate applicability of the proposed procedure. The results showed that by applying HMADM model, this study can provide a significant foundation to ensure that the best agile application outcomes are reached.