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      A Correlational Study on Four Measures of Requirements Volatility

      proceedings-article
      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.

            Content

            Author and article information

            Contributors
            Conference
            June 2008
            June 2008
            : 1-5
            Affiliations
            [0001]Department of Computing Science

            Umeå University, Sweden
            Article
            10.14236/ewic/EASE2008.18
            c90b6fa9-e16b-4336-8164-a576e3a2e213
            © 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)
            History
            Product

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EASE2008.18
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Requirement,Prediction Model,Empirical Validation,Correlational Study

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