Traceable Complexity Metric from Requirements to code

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Traceable Complexity Metric from Requirements to code

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dc.contributor.author Arevalo, Gabriela
dc.contributor.author Robiolo, Gabriela
dc.contributor.author Martínez Soler, Miguel
dc.date.accessioned 2017-04-17T12:07:37Z
dc.date.available 2017-04-17T12:07:37Z
dc.date.issued 2017-04-17
dc.identifier.citation Arévalo, G., Robiolo, G., & Soler, M. M. (2010). Traceable complexity metric from requirements to code. Facultad de Ingeniería, Universidad Austral, Argentina. es
dc.identifier.uri https://riu.austral.edu.ar/handle/123456789/436
dc.description.abstract Complexity metrics are one of the useful measurements to determine the quality of a target software. However, the measurements are only applied and isolated in one specific development phase and there are no metrics that can show the quality (and the evolution) of the same software artifact in all development phases. In this paper, we propose a methodology to use a traceable metric to measure software artifacts from requirements to source code. Specifically, we validate our approach on transactions defined in use cases and implemented in source code, and some initial results show that our approach is promising to solve the problem of tracing software artifacts during the software development process. en_US
dc.language.iso en en_US
dc.subject Traceability en_US
dc.subject Metrics en_US
dc.subject Transactions en_US
dc.subject Requirements en_US
dc.subject Source code en_US
dc.title Traceable Complexity Metric from Requirements to code en_US
dc.type Article en_US


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