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      A Correlational Study on Four Measures of Requirements Volatility

      12th International Conference on Evaluation and Assessment in Software Engineering (EASE) (EASE)

      Evaluation and Assessment in Software Engineering (EASE)

      26 - 27 June 2008

      Requirement, Prediction Model, Empirical Validation, Correlational Study

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          Abstract

          Requirements volatility is an important risk factor for software projects. Software measures can help in quantifying and predicting this risk. In this paper, we present the results of a correlational study with the goal of predicting requirements volatility for a medium size software project. Based on the data collected from two industrial software projects for four measures of size of requirements (number of actors, use cases, words, and lines), we have evaluated prediction models for requirements volatility. These models can help project managers to estimate the volatility of requirements and minimize the risks caused by volatile requirements, like schedule and cost overruns. In cross systems validation our best model showed a mean magnitude of relative error (MMRE) of 0.25, which can be considered reliable. In an earlier study, we showed that decisions solely based on developers perception of requirements volatility are, instead unreliable. Predictions models, like the ones presented here, can therefore help taking more reliable decisions.

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          Most cited references 5

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          Exploring the relationships between design measures and software quality in object-oriented systems

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            Metrics for requirements engineering

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              Using simulation to analyse the impact of software requirement volatility on project performance

               D PFAHL,  K Lebsanft (2000)
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                Author and article information

                Contributors
                Conference
                June 2008
                June 2008
                : 1-5
                Affiliations
                Department of Computing Science

                Umeå University, Sweden
                Article
                10.14236/ewic/EASE2008.18
                © Annabella Loconsole et al. Published by BCS Learning and Development Ltd. 12th International Conference on Evaluation and Assessment in Software Engineering (EASE)

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                12th International Conference on Evaluation and Assessment in Software Engineering (EASE)
                EASE
                12
                University of Bari, Italy
                26 - 27 June 2008
                Electronic Workshops in Computing (eWiC)
                Evaluation and Assessment in Software Engineering (EASE)
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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