Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Extreme programming explained: embrace change
Extreme programming explained: embrace change
Managing software requirements: a unified approach
Managing software requirements: a unified approach
Software Requirements
Extreme Programming in Practice
Extreme Programming in Practice
A Cost-Value Approach for Prioritizing Requirements
IEEE Software
Classification of research efforts in requirements engineering
RE '95 Proceedings of the Second IEEE International Symposium on Requirements Engineering
Software Requirements Prioritizing
ICRE '96 Proceedings of the 2nd International Conference on Requirements Engineering (ICRE '96)
Supporting the Selection of Software Requirements
IWSSD '96 Proceedings of the 8th International Workshop on Software Specification and Design
ER'07 Proceedings of the 2007 conference on Advances in conceptual modeling: foundations and applications
Reasoning with optional and preferred requirements
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Decision-making techniques for software architecture design: A comparative survey
ACM Computing Surveys (CSUR)
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
A systematic literature review of software requirements prioritization research
Information and Software Technology
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The importance of prioritising requirements is widely recognised. A number of different techniques for prioritising requirements have been proposed, some based on an ordinal scale, others on a ratio scale. Some measurement scales provide more information than others, i.e. the ratio scale is richer than the ordinal scale. This paper aims to investigate the differences between the scales used in prioritisation. This is important since techniques using a richer scale tend to be more time-consuming and complex to use. Thus, there is a trade-off between simple techniques only providing ranks and complex techniques providing information about the relative distance between requirements priorities. The paper suggests an approach to measure the skewness of the ratio distribution and a way to use the cost-value approach on ordinal scale data. Four different empirical data sets were used to verify the suggested approaches. The skewness measure seems feasible to determine in which cases the ratio scale is valuable. It indicates that some of our subjects tend to use the extreme values of the scale while others are more modest. The cost-value approach based on ordinal scale data also seems feasible. The requirements selection decisions based on ordinal scale data agree substantially with the decisions based on ratio scale data.