Software Development
A Cost-Value Approach for Prioritizing Requirements
IEEE Software
Mastering the Requirements Process (2nd Edition)
Mastering the Requirements Process (2nd Edition)
The multi-objective next release problem
Proceedings of the 9th annual conference on Genetic and evolutionary computation
"Fairness Analysis in Requirements Assignments
RE '08 Proceedings of the 2008 16th IEEE International Requirements Engineering Conference
Cluster Analysis
Lessons Learned from Open Source Projects for Facilitating Online Requirements Processes
REFSQ '09 Proceedings of the 15th International Working Conference on Requirements Engineering: Foundation for Software Quality
Reasoning About Alternative Requirements Options
Conceptual Modeling: Foundations and Applications
StakeNet: using social networks to analyse the stakeholders of large-scale software projects
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering - Volume 1
Highlighting stakeholder communities to support requirements decision-making
REFSQ'13 Proceedings of the 19th international conference on Requirements Engineering: Foundation for Software Quality
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[Context and motivation] Novel web-based requirements elicitation tools offer the possibility to collect requirements preferences from large number of stakeholders. Such tools have the potential to provide useful data for requirements prioritization and selection. [Question/problem] However, existing requirements prioritization and selection techniques do not work in this context because they assume requirements ratings from a small number of stakeholders groups, rather than from a large number of individuals. They also assume that the relevant groups of stakeholders have been identified a priori, and that all stakeholders within a group have the same preferences. [Principal ideas/ results] This paper aims at addressing these problems by applying cluster analysis techniques used in the area of market segmentation for identifying relevant groups of stakeholders to be used for requirements decision making. [Contribution] We describe a clustering analysis technique that can be used in this context and evaluate its adequacy on a pilot case study.