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      Factors Explaining External Quality in 54 Case Studies of Software Development Projects

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      13th International Conference on Evaluation and Assessment in Software Engineering (EASE) (EASE)

      Evaluation and Assessment in Software Engineering (EASE)

      20 - 21 April 2009

      External quality, empirical, multiple case study, factors, software development

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          Abstract

          Background: Confounding factors can easily make research hard to interpret and generalise. But there is currently no standard list of factors that should always be measured when conducting empirical investigations. Objective: To measure the explanatory power of eight simple metrics (two different pretests, number of members, total working time reported, development method used, test method used, formal specification method used, and programming language used) to explain external software project quality as measured by the project client. Method: We collected data on 54 software development teams over a five year period. A univariate analysis was used to calculate the explanatory power of the metrics and check for interaction effects between the categorical data. Results: Two of the proposed metrics (a pre-test based on a development project and the total time spent per team) led to significant explanation of the quality measurement. It was also noted that the differences between the Java and PHP programming languages did not explain the variation in quality, but some limited data available for JSP indicated this may not be the case for all languages. Conclusion: We recommend that any empirical investigations into external quality at least records the total time spent in man hours and an assessment of the competence of the developers. In addition future work is needed to determine if other programming languages explain variance in external quality.

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          A Scientific Methodology for MIS Case Studies

           Allen S. Lee (1989)
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            Author and article information

            Contributors
            Conference
            April 2009
            April 2009
            : 1-4
            Affiliations
            Department of Computer Science, University of Sheffield, Regent Court, 211 Portobello, Sheffield S1 4DP
            Article
            10.14236/ewic/EASE2009.9
            © Chris Thomson et al. Published by BCS Learning and Development Ltd. 13th International Conference on Evaluation and Assessment in Software Engineering (EASE), Durham University, UK

            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/

            13th International Conference on Evaluation and Assessment in Software Engineering (EASE)
            EASE
            13
            Durham University, UK
            20 - 21 April 2009
            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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