A multiple-view metamodeling approach for variability management in software product lines

A multipleview model for a software product line is an objectoriented domain model which defines the different aspects of a software product line, namely the use case model, static model. Software language engineering springer for research. A framework for the metamodeling of multivariant systems. Software product families are recognized as a successful approach to reuse in. Over the last few decades many studies have focused on the oxygen depletion of coastal and oceanic waters. In order to provide effective variability management and product derivation in software product lines, which is capable of being automated, certain fundamental building blocks are required.

Vmm leverages variability modeling ideas at metamodel level to address revisions in modelbased software product lines. In this paper, we present a new approach to variability management by introducing a multiple views model 4vm where each view caters for specific set of concerns that relate to a particular group. In proceedings of the 8th international conference on software reuse icsr 2004, july 2004. Indeed, they proposed an approach for modelling data variability as an integral part of the entire data intensive software product. In fy 20 they quantified the sensitivity of lean and egrdilute combustion to airfuel ratio and combustion phasing perturbation. This tool is called method base, which has various catalogued methods so that a software designer can select an adequate method for his problem domain by. Multipleview metamodeling of software product lines, 8th international conference. Variability modelling usingmodels figure 1 shows an overview of the modelbased development process for software product lines using the modelling approach. This paper describes a multiple view modeling approach for software product lines in which the unifying view is the feature model. Shin 274 validating quality of service for reusable software via modelintegrated distributed continuous quality assurance arvind s.

Despite the existence of studies to map out available evidence on traceability for single systems development, there is a lack of understanding on common. An automated modelbased testing approach in software. The software product line approach pl promotes the generation of specific products from a set of core assets for a given domain. A key aspect of variability management in software product families is the explicit. First, an initial model of the product line is created that captures the variability of the feature model. As ontology based modeling is the major approach for product development in both software product line and manufacturing, the generic features and associative features should be formalized in an ontological manner.

Thus metamodeling or metamodeling is the analysis, construction and development of the frames, rules, constraints, models and theories applicable and useful for modeling a predefined class of problems. Shin a multipleview metamodeling approach for variability management in software product lines. Towards metamodel support for variability and traceability. On the other hand, software product lines foster software reuse by proposing to develop applications based on a set of common assets belonging to a particular domain. A multipleview metamodeling approach for variability. Beebe university of utah department of mathematics, 110 lcb 155 s 1400 e rm 233 salt lake city, ut 841120090 usa tel. This paper describes a model for expressing coordination in multiple view visualization systems. Shin a multiple view metamodeling approach for variability management in software product lines.

This is achieved through the identification and management of commonalities and. However, soa systems currently lack a systematic approach for managing variability in service requirements and design. Nowadays, a medium size software system may encompass hundreds if not thousands of variability points introducing a new level of complexity that current techniques struggle to manage. Spl community has spent huge amount of resources on developing various approaches to dealing with variability related challenges over the last decade. The work clearly shows the relationship between the goals of modeling. Reuse and variability in large software applications acm. The book provides a definition of different kinds of modeling languages, their instrumentation with tools such as editor. A metamodeling approach to tracing variability between. This paper describes an approach for modeling variability in software product lines that are developed, and later evolved, using modeldriven software product line development.

The approach focuses on describing architectural contracts to deal with dynamic variability, and on their association with a software product line. Thus, when product line assets are carefully designed, both quality and timetomarket requirements can be achieved. The metamodel depicts life cycle phases, views within each phase, and. Software product line advanced topic risk management. Variability modelling for modeldriven development of. This paper presents smarty, a variability management approach for umlbased software product lines pl. This makes variability management and product derivation tasks. Despite more than 20 years on research on software product lines and variability, industry continues to experience the topic of strategic intraorganizational reuse and variability management as a challenge. The metamodeling approach also reduces the computation cost of simulation models. A multipleview metamodeling approach for variability management in software product lines hassan gomaa, michael e.

Agile constructor and evaluation of product line architecture. A hierarchical variability model for software product lines. Variability modeling in modeldriven software product line. In order to provide an effective approach, which is capable of being automated, for variability management and product derivation in software product lines, the following is needed. Variants and versions management for models with integrated. Reuse and variability in large software applications. Nasa astrophysics data system ads chakraborty, souvik. T a multiple views model for variability management in. Management and product derivation in software product lines, the splc workshop on software variability management for product derivation towards tool support software product line conference, boston, massachusetts, august 30 september 2, 2004. Variability modeling for service oriented product line architectures. Our paper addresses this problem by applying software product line spl concepts to model soa systems as service families. Soa systems need the capability of managing variability to address different client requirements. It defines a process to help business users and software developers share a clear and precise vocabulary, design and specify component. Modeling variability in the context of software product lines has been around for about 25 years in the research community.

This paper describes variability management in uml based multiple view models of the software product line, which consist of developing. Design patterns are best practices for addressing recurring design problems in objectoriented source code. A model and software system for coordinated and multiple. In the previous approaches, authors extended the uml metamodel for. A metamodel or surrogate model is a model of a model, and metamodeling is the process of generating such metamodels. Behavioral domain analysis the applicationbased domain. The software product line approach pl promotes the generation of specific products. In this paper, we present a new approach to variability management by introducing a multiple views model 4vm where each view caters for specific set of concerns that relate to a particular group of stakeholders. In this paper we focus on applying the adom approach to uml and especially to its class and sequence diagrams. Software product lines spl promote reusable development for product families. Written by foremost experts in the field, engineering modeling languages provides endtoend coverage of the engineering of modeling languages to turn domain knowledge into tools. Automated software product line engineering and product.

A multiple view metamodeling approach for variability management in software product lines. Systematic management of variability in umlbased software. A processdriven and ontology based software product line variability modeling approach 3. Introduction the software product lines engineering 1. Effective variability management requires comprehensive changes to the software development process. Finally, abo and troyer 29 discussed the need to model the data variability as well as the variability of applications when designing software product lines. A multipleview modelling and metamodelling approach for software product lines spls using the unified modelling language notation is described. Architecting software systems using model transformations and. Leveraging product line engineering for the development of. This approach is applicable to domains in which products have welldefined commonalities and variation points.

This paper describes variability management in uml based multipleview models of the software product line, which consist of developing use case and feature models during requirements modeling, static and dynamic models during analysis modeling, and componentbased. A multipleview metamodel for software product lines describes how each view relates semantically to other views. Existing variability modeling approaches support the first two requirements, but lack. A framework for modeling variability in software product families. A multipleview model for an spl defines the different perspectives of the product line, namely the use case model, static model, collaboration model, statechart model and feature model, including the commonality and variability. This approach models variability in the conceptual database schema which generates a relational and variable schema. Shin, a multiple view metamodeling approach for variability management in software product lines, lecture notes in computer science, vol. A novel, reynolds averaged navierstokes approach characterized by low numerical diffusion was applied to qualitatively evaluate cycletocycle variability and combustion stability in an internal combustion engine.

Reuse has always been a major goal in software engineering, since it promises large gains in productivity, quality and time to market reduction. The feature model view is the key for managing variability in software product lines. In recent years, several dsm2ls have been developed for various domains, e. Schmidt, atif memon, adam porter, diego sevilla 286. The software product line pl approach promotes the generation of specific products from a set of core assets for a given domain. Multipleview metamodeling of software product lines. Multiple view metamodeling, as the underlying representation of the multiple views. The book provides a definition of different kinds of modeling languages. Core assets development cad, product development pd and management m. This paper describes variability management in uml. A key challenge in software product line engineering is to represent solution space variability in an economic, yet easily understandable fashion.

Object technology and product lines gary chastek oopsla 1997 oo technology for the insurance industry nancy box oopsla 1997 development of successful objectoriented frameworks todd hansen oopsla 1997 non software examples of software design patterns michael duell, john goodsen, linda rising oopsla 1997. Highlights we present variable metamodel vmm, an approach to address the coevolution of models and metamodels. Modeling variability in software product lines with the variation point. Pdf featurebased variability metamodeling for service. Multipleview modelling and metamodelling of software. Software product lines deal with reusable assets across a domain by exploring requirements commonality and variability. Uml 2 semantics and applications pdf free download. Pdf a multiple views model for variability management in. Combine a general, reusable variability metamodel with different domain metamodels. A bibliography of papers in lecture notes in computer science 1997, part 2 of 2 nelson h. Software variability management is a key challenge in developing software product lines and deriving products from the product line. The functional requirements of a spl are described with reusable. We introduce the notion of hierarchical variability models to describe families of products in a manner that facilitates their modular design and analysis.

In this way, the feature based multidisciplinary manufacturing system can be established in a consistent and systematic way. This paper describes a featureoriented approach for managing variability in reusable requirement models for software product lines. It offers a browserbased collaboration and document management platform that can be used to host webd workspaces and document, as well as specialized applications like wikis and blogs from a browser. In 45, 46,47 the author proposed a multiple view metamodeling approach for variability management in a given domain. Software product lines spls are an approach to reuse inthelarge that models a set of closely related software systems in terms of commonalities and variabilities. In this paper we present and examine the different types of variability. Over the last decade, surrogate modelling technique has gained wide popularity in the field of uncertainty quantification, optimization, model exploration and sensitivity analysis.

This metamodel defines the performance measure as a function of the factors that affect it. This paper describes a multipleview metamodeling approach for managing variability in software product lines using the unified modeling language notation. A tool support is implementing to verify the approach validity. A metamodeling approach to tracing variability between requirements and architecture in software product lines 2. Afterthree decadesofresearch andpractice, reuse ofexistingsoftwareartefactsremains the most promising approach to decreasing effort for software development and evo tion, increasing quality of software artefacts and decreasing time to market of software products. A metamodeling approach to tracing variability between requirements and architecture in software product lines. A multipleview metamodeling approach for variability management in software product lines. Sequential experimental design based generalised anova. Variability modeling and metamodeling for modeldriven serviceoriented architectures a dissertation submitted in partial fulfillment of the requirements for the degree of doctor of philosophy at george mason university by mohammad ahmad abumatar master of science regis university, 2004 bachelor of science wright state university, 1993. Software product lines are characterized through common and variable parts. Modeling variability in software product lines with the. Kodi archive and support file community software vintage software apk msdos cdrom software cdrom software library console living room software sites tucows software library shareware cdroms software capsules compilation cdrom images zx spectrum doom level cd. Behavioral domain analysis the applicationbased domain modeling approach 4 catalysis 10 is an approach to systematic businessdriven development of componentbased systems.

Featurebased variability metamodeling for serviceoriented. An approach to managing feature dependencies for product. Lncs 3273 behavioral domain analysis the application. A feasible combination of input variables, c 1, c 2, and c 3, were obtained to meet the production goals of management. Generative software product line development using. Lecture notes in computer science 3107 springer 2004, isbn 3. Beyond being used for a mere description and documentation of variability, variability models are more and more leveraged to produce other artifacts, such as configurators. A contractbased approach for managing dynamic variability. Modeldriven engineering for software product lines hindawi. We present the model and describe a prototype implementation that illustrates the features of the model. An understanding of the processes involved is fundamental to assess the effects of global and climatic changes and to support an ecosystem approach to adaptive environmental management for coastal seas and ocean basins. Introduction software product line engineering sple intends to develop software intensive systems using platforms and mass customisation 1, 2. Practical experience has shown that substantial reus.

Leveraging variability modeling to address metamodel. A key challenge in software product line engineering is to rep. In order to guarantee that domain experts and developers understand each other variability has to be modeled explicitly. Modeling variability is one of the most important tasks during the analysis phase. A variability management process for software product lines. Shin, a multiple view modeling approach for variability. Request pdf a metamodeling approach to tracing variability between requirements and architecture in software product lines even in traditional single software product development, failure to. In proceedings of the 8th international conference on software. Tool support for software variability management and. Current visualization systems tend to have an informal and inconsistent approach to coordination. We introduce a multiple view soa variability model based on feature. Traceability in software product lines spl is the ability to interrelate software engineering artifacts through required links to answer specific questions related to the families of products and underlying development processes. Requirements dependencies have very strong influence on all development phases of member products in a product line.

A software product line spl is a portfolio of similar software products that target a. The metamodel depicts life cycle phases, views within each phase, and metaclasses within each view. Managing variability in reusable requirement models for. Methods, techniques, and tools, volume 3107 of lecture notes in computer science, pages 274285. It started with feature modeling and soon enough was extended to handle many different concerns. We introduce an approach to model soa variability with a multipleview soa variability model and a corresponding metamodel. Microsoft office sharepoint services moss is a powerful product with a broad range of functionality available out of the box. In software engineering software product lines spl are widely employed for developing systems that are characterized by a high degree of variability. Shin, a multiple view modeling approach for variability management in software product lines 8 th international conference on software reuse icsr 2004, madrid, spain, july, 2004, proceedings.

The work clearly shows the relationship between the. Product line software engineering is a systematic approach to realize large scale software reuse. A domainspecific metamodeling language dsm2l enables language engineers to define a family of similar metamodelbased languages. It is important to emphasize that our approach 17 handling variability and traceability over spl disciplines 16 software product lines the automated analysis to risk management should be performed in the essential activities of the spl. Multipleview metamodeling of software product lines, 8th. Variability has been defined as the ability of a system or an artefact to be configured, customized or extended for employment in a particular context 1. Variability management is concerned with the management of the. Variability management vm in software product line spl is a key activity that usually affects the degree to which a spl is successful. Visualisation of variability in software product line. This paper describes a multipleview metamodeling approach for managing variability in software product lines using the unified modeling language notation uml. A multipleview metamodeling approach for variability management in software product lines conference paper in lecture notes in computer science july 2004 with 28 reads how we measure reads.