Product Line Stakeholder Preference Elicitation via Decision Processes

Author:

Bashari Mahdi1,Noorian Mahdi1,Bagheri Ebrahim2

Affiliation:

1. University of New Brunswick, Fredericton, Canada

2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada

Abstract

In the software product line configuration process, certain features are selected based on the stakeholders' needs and preferences regarding the available functional and quality properties. This book chapter presents how a product configuration can be modeled as a decision process and how an optimal strategy representing the stakeholders' desirable configuration can be found. In the decision process model of product configuration, the product is configured by making decisions at a number of decision points. The decisions at each of these decision points contribute to functional and quality attributes of the final product. In order to find an optimal strategy for the decision process, a utility-based approach can be adopted, through which, the strategy with the highest utility is selected as the optimal strategy. In order to define utility for each strategy, a multi-attribute utility function is defined over functional and quality properties of a configured product and a utility elicitation process is then introduced for finding this utility function. The utility elicitation process works based on asking gamble queries over functional and quality requirement from the stakeholder. Using this utility function, the optimal strategy and therefore optimal product configuration is determined.

Publisher

IGI Global

Subject

Artificial Intelligence,Management of Technology and Innovation,Information Systems and Management,Organizational Behavior and Human Resource Management,Strategy and Management,Information Systems

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Self-adaptation of service compositions through product line reconfiguration;Journal of Systems and Software;2018-10

2. Visual guidance for product line configuration using recommendations and non-functional properties;Proceedings of the 33rd Annual ACM Symposium on Applied Computing;2018-04-09

3. Toward automated quality-centric product line configuration using intentional variability;Journal of Software: Evolution and Process;2017-05-09

4. Quality-centric feature model configuration using goal models;Proceedings of the 31st Annual ACM Symposium on Applied Computing;2016-04-04

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