Consolidated Product Line Variability Modeling

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.

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Domain-specific Adaptations of Product Line Variability Modeling

IFIP — The International Federation for Information Processing - Situational Method Engineering: Fundamentals and Experiences ◽

10.1007/978-0-387-73947-2_19 ◽

2007 ◽

pp. 238-251 ◽

Cited By ~ 10

Author(s):

Deepak Dhungana ◽

Paul Grünbacher ◽

Rick Rabiser

Keyword(s):

Product Line ◽

Domain Specific ◽

Variability Modeling

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A Petri Net approach for representing Orthogonal Variability Models

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v9i1.4158 ◽

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.

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Dynamic Software Product Line Engineering: A Reference Framework

International Journal of Software Engineering and Knowledge Engineering ◽

10.1142/s0218194017500085 ◽

2017 ◽

Vol 27 (02) ◽

pp. 191-234 ◽

Cited By ~ 15

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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