Experimentation in software engineering: an introduction
Experimentation in software engineering: an introduction
An Analytical Model for Requirements Selection Quality Evaluation in Product Software Development
RE '03 Proceedings of the 11th IEEE International Conference on Requirements Engineering
Using Students as Subjects in Requirements Prioritization
ISESE '04 Proceedings of the 2004 International Symposium on Empirical Software Engineering
An Empirical Study of Software Project Bidding
IEEE Transactions on Software Engineering
Requirements Abstraction Model
Requirements Engineering
A systematic approach for solving the wicked problem of software release planning
Soft Computing - A Fusion of Foundations, Methodologies and Applications
A product management challenge: Creating software product value through requirements selection
Journal of Systems Architecture: the EUROMICRO Journal
A Markov-based collaborative pricing system for information goods bundling
Expert Systems with Applications: An International Journal
An Empirical Test of Gain-Loss Separability in Prospect Theory
Management Science
Zero as a Special Price: The True Value of Free Products
Marketing Science
Creating Software Product Value in China
IEEE Software
Software quality trade-offs: A systematic map
Information and Software Technology
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[Context and motivation] Finding a balance between commercial (customer specific, market pull and external quality requirements) and internal quality requirements is a recognized challenge in market driven software product development (MDSPD). In order to address this challenge it is important to understand the preferences and biases influencing decision makers selecting requirements for software releases. [Question/problem] Prospect theory has been successfully applied to many disciplines. Applying it to MDSPD suggests decision makers will avoid risk when selecting between commercial requirements, take risk with internal quality requirements, and prefer commercial requirements over internal quality requirements in order to maximize their perceived value. This paper seeks to investigate this claim. [Principal ideas/results] This paper presents an experiment investigating whether the biases proposed by prospect theory can be seen operating in MDSPD requirements engineering (RE). The results indicate risk avoidance when dealing commercial requirements, while greater risk is taken when dealing with internal quality requirements. [Contribution] As this is the first paper to use prospect theory to explain requirements selection decisions, it presents opportunity to educate people in the biases they bring to the RE process, and facilitate the creation of strategies for balancing the different requirements types.