A hybrid effort estimation model for perfective maintenance: a real experience

This paper presents the results of a hybrid estimation model for perfective software maintenance applied in a real context. The resulting model integrates heuristics and parametric methods to improve the maintenance estimation. One of the main objectives of this model is the inclusion of functionali...

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Detalles Bibliográficos
Autores principales:	Irrazábal, Emanuel, Osorio, Zurisadai Benjamin, Garzás, JAvier
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2011
Materias:	Ciencias Informáticas Hybrid systems Software maintenance Models estimation model; perfective maintenance; effort; impact points; micro function points; methods
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/18724
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-18724
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Hybrid systems Software maintenance Models estimation model; perfective maintenance; effort; impact points; micro function points; methods
spellingShingle	Ciencias Informáticas Hybrid systems Software maintenance Models estimation model; perfective maintenance; effort; impact points; micro function points; methods Irrazábal, Emanuel Osorio, Zurisadai Benjamin Garzás, JAvier A hybrid effort estimation model for perfective maintenance: a real experience
topic_facet	Ciencias Informáticas Hybrid systems Software maintenance Models estimation model; perfective maintenance; effort; impact points; micro function points; methods
description	This paper presents the results of a hybrid estimation model for perfective software maintenance applied in a real context. The resulting model integrates heuristics and parametric methods to improve the maintenance estimation. One of the main objectives of this model is the inclusion of functionalities that provide zero function points. These functionalities can be supported by the model through impact points. Likewise, the micro function points and weighted risks have been included to provide a more realistic estimate. Finally, the model was implemented in a SME where the estimates were very approximates to the real effort. As result, the model could be implemented in a small organization with a stable maintenance process and effort deviation was 11% after applying the model.
format	Objeto de conferencia Objeto de conferencia
author	Irrazábal, Emanuel Osorio, Zurisadai Benjamin Garzás, JAvier
author_facet	Irrazábal, Emanuel Osorio, Zurisadai Benjamin Garzás, JAvier
author_sort	Irrazábal, Emanuel
title	A hybrid effort estimation model for perfective maintenance: a real experience
title_short	A hybrid effort estimation model for perfective maintenance: a real experience
title_full	A hybrid effort estimation model for perfective maintenance: a real experience
title_fullStr	A hybrid effort estimation model for perfective maintenance: a real experience
title_full_unstemmed	A hybrid effort estimation model for perfective maintenance: a real experience
title_sort	hybrid effort estimation model for perfective maintenance: a real experience
publishDate	2011
url	http://sedici.unlp.edu.ar/handle/10915/18724
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bdutipo_str	Repositorios
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A hybrid effort estimation model for perfective maintenance: a real experience

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