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Title:	A situational approach for the definition and tailoring of a data-driven software evolution method
Author:	Franch Gutiérrez, Javier; Ralyté, Jolita; Perini, Anna; Abelló Gamazo, Alberto; Ameller, David; Gorroñogoitia, Jesús; Nadal Francesch, Sergi; Oriol Hilari, Marc; Seyff, Norbert; Siena, Alberto; Susi, Angelo
Other authors:	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació; Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering
Abstract:	Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance. To overcome this challenge, there is an increasing number of approaches that propose intensive use of data to drive evolution. This trend has motivated the SUPERSEDE method, which proposes the collection and analysis of user feedback and monitoring data as the baseline to elicit and prioritize requirements, which are then used to plan the next release. However, every company may be interested in tailoring this method depending on factors like project size, scope, etc. In order to provide a systematic approach, we propose the use of Situational Method Engineering to describe SUPERSEDE and guide its tailoring to a particular context.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Enginyeria del software -Computer software -- Development -Software evolution -Situational method engineering -Software process -Programari -- Desenvolupament
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Document type:	Article - Submitted version Conference Object
Published by:	Springer
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