Artículo
Consistency maintenance for evolving feature models
Autor/es | Guo, Jianmei
Wang, Yinglin Trinidad Martín Arroyo, Pablo Benavides Cuevas, David Felipe |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2012 |
Fecha de depósito | 2017-10-06 |
Publicado en |
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Resumen | Software product line (SPL) techniques handle the construction of customized systems. One of the most
common representations of the decisions a customer can make in SPLs is feature models (FMs). An FM
represents the ... Software product line (SPL) techniques handle the construction of customized systems. One of the most common representations of the decisions a customer can make in SPLs is feature models (FMs). An FM represents the relationships among common and variable features in an SPL. Features are a representation of the characteristics in a system that are relevant to customers. FMs are subject to change since the set of features and their relationships can change along an SPL lifecycle. Due to this evolution, the consistency of FMs may be compromised. There exist some approaches to detect and explain inconsistencies in FMs, however this process can take a long time for large FMs. In this paper we present a complementary approach to dealing with inconsistencies in FM evolution scenarios that improves the performance for existing approaches reducing the impact of change to the smallest part of an FM that changes. To achieve our goal, we formalize FMs from an ontological perspective and define constraints that must be satisfied in FMs to be consistent. We define a set of primitive operations that modify FMs and which are responsible for the FM evolution, analyzing their impact on the FM consistency. We propose a set of predefined strategies to keep the consistency for error-prone operations. As a proof-of-concept we present the results of our experiments, where we check for the effectiveness and efficiency of our approach in FMs with thousands of features. Although our approach is limited by the kinds of consistency constraints and the primitive operations we define, the experiments present a significant improvement in performance results in those cases where they are applicable. |
Identificador del proyecto | TIN2009-07366
TIC-5906 P07-TIC-2533 |
Cita | Guo, J., Wang, Y., Trinidad Martín Arroyo, P. y Benavides Cuevas, D.F. (2012). Consistency maintenance for evolving feature models. Expert Systems with Applications, 39 (5), 4987-4998. |
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