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Software . 2018
License: CC BY NC ND
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ZENODO
Software . 2018
License: CC BY NC ND
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Software . 2018
License: CC BY NC ND
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Database for Empirical Studies (DES) source code

Authors: Yamashita, Aiko;

Database for Empirical Studies (DES) source code

Abstract

The code is configured as Eclipse workspace, and contains 4 Java web applications, all four of them implemented by following the same requirements specification by 4 different Norwegian consultancy firms. As a result of that, they have very similar functionality but have a different code base and design. The result from this project is reported in the paper by Anda et.al. (See: “Variability and Reproducibility in Software Engineering : A Study of Four Companies that Developed the Same System.” in the References section) Later, this source code was used in an experimental study conducted by Simula Research Laboratory in 2008, in order to observe the effect of code smells on the maintainability of software (See: "Assessing the Capability of Code Smells to Support Software Maintainability Assessments : Empirical Inquiry and Methodological Approach" in the References section).

{"references": ["Yamashita, Aiko. \"Assessing the Capability of Code Smells to Support Software Maintainability Assessments : Empirical Inquiry and Methodological Approach\" (PhD Thesis at Oslo University) Accessible at: http://urn.nb.no/URN:NBN:no-33197", "Bente C. D. Anda, Dag I. K. Sj\u00f8berg, and Audris Mockus. \"Variability and Reproducibility in Software Engineering : A Study of Four Companies that Developed the Same System.\" In: IEEE Transactions on Software Engineering 35.3 (2009), pp. 407\u2013429."]}

This work was partly funded by Simula Research Laboratory and the Research Council of Norway through the projects AGILE (Grant No. 179851/I40) and TeamIT (Grant No. 193236/I40).

Related Organizations
Keywords

software maintenance and evolution, empirical software engineering, code smells

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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