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Variability modeling software

19th Asia- Pacific Software Engineering Conference ( APSEC) Hong Kong, China 19th Asia- Pacific Software Engineering Conference IEEE, ( ). This chapter discusses software reuse and the reason for developing software product lines, which are also referred to as software product families, as well as modeling variability in software product lines. Documenting and managing the variability among products of a product line is an essential task in this development paradigm. Business process variability modeling and Software product line engineering have similar problems. Variability modeling is important for managing variability in software product families, especially during product derivation.
The aim of this chapter is to provide a comprehensive description of the notion of variability modeling in the context of software product line engineering and to give an overview of the techniques proposed for variability modeling. Modeling variabilities among products of a family is a key aspect of variability management discipline. Abstract: Variability management is a major concern in successful exploitation of variabilities and commonalities of software product families which also affects different aspects of development activities. Currently, variability is often encoded within a functional model leading to so called 150% - models which easily be- come very complex and do not scale for larger product lines. SPEM diagrams are used to model.
The result is smartCityML, a domain specific language ( DSL) for modeling smart city systems. 2 Modeling Software Process Lines The Software and Systems Process Engineering Meta- Model ( SPEM 2. In the past few years, several variability modeling techniques have been developed, each using its own concepts to model the variability provided by a product family. In this paper, we propose hierarchical variability modeling which allows specifying component variability integrated with the component hierarchy and locally to the components. And industrial product- line methodologies [ 5, 6]. This paper is structured as follows.
This paper describes the VPM and how it is used for modeling four different approaches to variability, modeling variability using parameterization, modeling variability using information hiding, modeling variability using. Over more than two decades, numerous variability modeling techniques have been introduced in academia and industry. Emmanuelle Rouille, Benoit Combemale, Olivier Barais, David Touzet and Jean- Marc Jezequel Leveraging CVL to Manage Variability in Software Process Lines, ( ).

CVL is a specification language including a metamodel, semantics and concrete syntax for variability specification. For this purpose, we can use variability models such as Feature Models ( FM) and Orthogonal Variability Model. Feature Modeling and Variability Modeling Syntactic Notation Comparison and Mapping OPEN ACCESS JCC 102 Kang at 1990 ( original FM) [ 1]. In this paper, we illustrate our experiences from EU, academic, and indus- trial projects in identifying, modeling, and managing variability in. Delta modules manifest changes associated with different configurations in realization artifacts, such as source code, by adding, modifying or removing affected elements.
Variability modeling software. Download it once and read it on your Kindle device, PC, phones or tablets. Variability modeling software. Of Computer Science and Engineering Chalmers University of Technology Gothenburg, Sweden se Abstract— Model- driven development of software- intensive systems aims at designing systems by stepwise model re- finement. Software process models that include variability. Variability modeling is important for managing variability in software product families, especially during product derivation.

Modeling Software Process Variability: An Empirical Study Tomás Martínez- Ruiz1, Félix García1, Mario Piattini1, Jürgen Münch2 1 Alarcos Research Group, Department of Information Technologies and Systems Escuela Superior de Informática, University of Castilla- La Mancha Paseo de la Universidad, 4, 13071 Ciudad Real, Spain. Cal variability modeling language MontiArcHV described in this paper extends Koala and aims at providing support for hierarchical variability modeling in component- based system development in the early development phases, in particular during architectural design. The aim of this chapter is to provide a comprehensive description of the notion of variability modeling in the context of software product line engineering and to give an overview of the. Orthogonal Variability Modeling to Support Multi- Cloud Application Configuration Pooyan Jamshidi, Claus Pahl IC4 – the Irish Centre for Cloud Computing and Commerce, Dublin City University, Dublin, Ireland { pooyan. Existing variability modeling approaches only support the first two requirements, but lack support for the latter two. With variability modelling coming of age, it is important to consider also non- functional properties of variable software systems.

From sample FODA at Figure 1, is show that the tree is composed by feature name, mandatory feature, option-. Variability Modeling is a key activity in implementing Software Product Lines and highly configurable systems. Variability in Software Product Lines September • Technical Report Felix Bachmann, Paul C. 13th International Workshop on Variability Modelling of Software- Intensive Systems February 6- 8,, Leuven Belgium.
Modeling variability in software product lines with the variation point model. Use Case variability modeling is one way to represent software requirements variability [ 19]. You' ll also be introduced to the UML notation and the concept of model- driven architecture. 1 Introduction Software product families are recognized as a successful approach to reuse in. 0 pro le, and takes an object- oriented approach to process modeling.
In this paper, we illustrate our experiences from EU, academic, and industrial projects in identifying, modeling, and managing variability in the domain of service robots. Application classes are classified according to their role in the application using stereotypes, such as « entity class», « control class», or « interface class». Feature diagrams and software configuration management are the main variability management concepts provided by software product line engineering.
Variability specifications shall relate to a base product line model that describes the whole product line and shall comprise:. Modeling across the whole product line engineering process. Static Variability Modeling In single systems, a class is categorized by the role it plays. 1 Multi- Variability Types for Modeling Variability is the \ ability of a software system or artifact to be e ciently extended, changed, customized or con g- ured to be used in a particular context" [ 24]. Variability modelling deals with the explicit representation of variability using dedicated models that specify common and variable features that make up products in a software product line.


A challenge with the product line approach is to model the variability between the core assets and the applications. In [ 14], the authors introduced an approach to support incremental and evolving configuration in product line. FODA is concept that used to analyze the domain problem on SPL.


The large functionality and complexity of today' s applications create a need for modeling and developing variable software. Application engineering activities rely on the con guration of variabil- ity. This paper describes the VPM and how it is used for modeling four different approaches to variability, modeling variability using parameterization, modeling variability using information hiding, modeling variability using inheritance, and modeling variability.

The contribution of this paper is a framework for variability modeling, COVAMOF, that provides support for all four requirements. 0 • R package mc2d “ Ease the development of MC and 2D- MC in R” – ( you specify if the distributions represent Uncertainty or Variability, then mc2d do the math for you) 34. Variability Modeling in Model- Driven Software Product Line Engineering Hassan Gomaa1, Michael E. We do this by using variability modeling and model- driven architecture techniques.

We hope to raise awareness for the specific variability challenges in robotics software engineering and to inspire other researchers to advance this field. Software variability is the ability of a software system or artifact to be changed, customized or configured for use in a particular context. Variability modeling software. Software Product Line ( SPL) Engineering paradigm [ 11, 8] is one of the most recent ways of software reuse. Systems and Software Variability Management: Concepts, Tools and Experiences - Kindle edition by Rafael Capilla, Jan Bosch, Kyo- Chul Kang. The basis of these decisions is the analysis of 60 store- oriented software ecosystems in eight different product domains.


Delta modeling is an approach to structured reuse within software product lines. Permission to make digital or hard copies of all or part of this work for. This report describes the concepts needed when.
Therefore the variability modeling concepts developed by software product line engineering are analyzed. Technologies are characterized by a high variability that makes reuse of software a challenging practice; and ( c) robotics developers are usually not speci˙ cally trained in software engineering. To counter these problems, we propose a modular variability modeling approach for Matlab/ Simulink based on the con-. Several researches' works dealt with use case variability modeling in different ways.
In Section II, the need. Based on the con guration of variability models, the. Shin2 1 Department of Computer Science, George Mason University, Fairfax, VA, USA edu 2 Dept. Variability Constraints • Integrates variability modeling with systems modeling • References: - ISO26550: – Reference Model for System and Software Product Line Engineering and Management - Klaus Pohl, Günter Böckle, Frank van der Linden, Software Product Line Engineering – Foundations, Principles, and Techniques, *. In a variability modeling method implemented in a computer system to implement a self- adaptive system, the variability modeling method includes building ontology in which a target system to be modeled is defined through requirement analysis of the target system, deciding whether adaptation is required by continuously monitoring the target system and a change in environment, and when it is.

0) [ 18] is a standard notation for modeling software and systems development processes and their components. Software product. Variability in Analysis Modeling 4. Cloud service providers benefit from a vast majority of customers due.

0 is de ned as a UML 2. Variability Modelling for Model- Driven Development of Software Product Lines Ina Schaefer Dept. While dozens of experience reports on software product line engineering exist, only very few focus on variability modeling. General Terms Software processes, variability modeling Keywords software process lines, model- driven engineering, process as- set reuse This work has been partly funded by project Fondef D09I1171, Chile. In modeling software product lines, each. This report describes the concepts needed when creating core assets with included variability.

VaMoS particularly welcomes approaches that deal with the measurement, prediction, and modelling of non- functional features and properties, as well as approaches that address the wider spectrum of variability. Of software- intensive functionality using Matlab/ Simulink. To handle this variability, we introduce the Business Variability Model ( BVM) for modeling business model decisions. For product line development, the variability of the components to be deployed in different products has to be represented by appropriate means.
Of Computer Science, Texas Tech University, Lubbock,, USA. Clafer is a small language for domain modeling with excellent support for variability modeling. Software used in QMRA • Can be done in classical MC software using large matrices or use other tools • 2D- MC simulation to be implemented in FDA- iRISK® 3. Modelling variability is beneficial for many product- line. However, little is known about the actual use of these techniques. In this tutorial, we will introduce the basics of variability modeling and the basics of the Clafer language.