@inproceedings{2cb58039b284431f81048ff2f801639a,
title = "Using software metrics to estimate the impact of maintenance in the performance of embedded software",
abstract = "This paper proposes a strategy to assist the designer in evaluating the impact of a design choice with respect to the non-functional requirements in embedded systems. We use several regression models to predict physical metrics from design metrics in order to estimate the impact on performance of software changes in the early stages of its development. This prediction can be used both during maintenance and during the first design to compare alternative module decompositions or design changes before implementation. Such an early estimation allows an efficient design space exploration with no penalty in the development time, which are crucial aspects for an embedded system.",
keywords = "Software Metrics, Maintenance, Data Mining, Regression Analysis, Embedded Systems",
author = "Andrws Vieira and Pedro Faustini and {\'E}rika Cota",
year = "2014",
doi = "10.1109/ICSME.2014.86",
language = "English",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "521--525",
booktitle = "30th International Conference on Software Maintenance and Evolution ICSME 2014",
address = "United States",
note = "30th International Conference on Software Maintenance and Evolution, ICSME 2014 ; Conference date: 28-09-2014 Through 03-10-2014",
}