Consolidated Product Line Variability Modeling

2006 ◽  
pp. 195-241 ◽  
Author(s):  
Joachim Bayer ◽  
Sebastien Gerard ◽  
Øystein Haugen ◽  
Jason Mansell ◽  
Birger Møller-Pedersen ◽  
...  
Keyword(s):  
Product Line ◽  
Variability Modeling

scholarly journals Development of a plug-in for Variability Modeling in Software Product Lines

2012 ◽  
Vol 22 ◽  
pp. 134-140
Author(s):  
María Karen Cortés-Verdín ◽  
María Lucía López-Araujo ◽  
Jorge Octavio Ocharán-Hernández
Keyword(s):  
Software Product Lines ◽  
Software Product Line ◽  
Product Line ◽  
Levels Of Abstraction ◽  
Product Lines ◽  
Product Line Engineering ◽  
Variability Modeling ◽  
Software Product Line Engineering ◽  
Software Product ◽  
Line Engineering

Software Product Lines (SPL) take economic advantage of commonality and variability among a set of software systems that exist within a specific domain. Therefore, Software Product Line Engineering defines a series of processes for the development of a SPL that consider commonality and variability during the software life cycle. Variability modeling is therefore an essential activity in a Software Product Line Engineering approach. There are several techniques for variability modeling nowadays. COVAMOF stands out among them since it allows the modeling of variation points, variants and dependencies as first class elements. COVAMOF, therefore, provides an uniform manner for representing such concepts in different levels of abstraction within a SPL. In order to take advantage of COVAMOF benefits, it is necessary to have a computer aided tool, otherwise variability modeling and management canbe a hard tasks for the software engineer. This paper presents the development of a Eclipse plug-in for COVAMOF.

scholarly journals A Petri Net approach for representing Orthogonal Variability Models

2013 ◽  
Vol 9 (1) ◽  
pp. 995-1003
Author(s):  
Cristian Martinez ◽  
Silvio Gonnet ◽  
Horacio Leone
Keyword(s):  
Petri Nets ◽  
Petri Net ◽  
Formal Analysis ◽  
Software Product Line ◽  
Product Line ◽  
Software System ◽  
Variability Modeling ◽  
Software Product

The software product line (SPL) paradigm is used for developing software system products from a set of reusable artifacts, known as platform. The Orthogonal Variability Modeling (OVM) is a technique for representing and managing the variability and composition of those artifacts for deriving products in the SPL. Nevertheless, OVM does not support the formal analysis of the models. For example, the detection of dead artifacts (i.e., artifcats that cannot be included in any product) is an exhaustive activity which implies the verification of relationships between artifacs, artifacts parents, and so on. In this work, we introduce a Petri nets approach for representing and analyzing OVM models. The proposed net is built from elemental topologies that represents OVM concepts and relationships. Finally, we simulate the net and study their properties in order to avoid the product feasibility problems.

scholarly journals Dynamic Software Product Line Engineering: A Reference Framework

2017 ◽  
Vol 27 (02) ◽  
pp. 191-234 ◽  
Author(s):  
Mahdi Bashari ◽  
Ebrahim Bagheri ◽  
Weichang Du
Keyword(s):  
Adaptive Systems ◽  
Software Product Line ◽  
Product Line ◽  
Product Lines ◽  
Product Line Engineering ◽  
Variability Modeling ◽  
Software Product Line Engineering ◽  
Software Product ◽  
Dynamic Software ◽  
Line Engineering

Runtime adaptive systems are able to dynamically transform their internal structure, and hence their behavior, in response to internal or external changes. Such transformations provide the basis for new functionalities or improvements of the non-functional properties that match operational requirements and standards. Software Product Line Engineering (SPLE) has introduced several models and mechanisms for variability modeling and management. Dynamic software product lines (DSPL) engineering exploits the knowledge acquired in SPLE to develop systems that can be context-aware, post-deployment reconfigurable, or runtime adaptive. This paper focuses on DSPL engineering approaches for developing runtime adaptive systems and proposes a framework for classifying and comparing these approaches from two distinct perspectives: adaptation properties and adaptation realization. These two perspectives are linked together by a series of guidelines that help to select a suitable adaptation realization approach based on desired adaptation types.

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