Practical experience has shown that substantial reus. A feasible combination of input variables, c 1, c 2, and c 3, were obtained to meet the production goals of management. A multipleview metamodeling approach for variability management in software product lines. Software variability management is a key challenge in developing software product lines and deriving products from the product line.
Lncs 3273 behavioral domain analysis the application. Current visualization systems tend to have an informal and inconsistent approach to coordination. In proceedings of the 8th international conference on software. Lecture notes in computer science 3107 springer 2004, isbn 3. 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. 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. 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. This is achieved through the identification and management of commonalities and. A bibliography of papers in lecture notes in computer science 1997, part 2 of 2 nelson h. 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. Beebe university of utah department of mathematics, 110 lcb 155 s 1400 e rm 233 salt lake city, ut 841120090 usa tel. Shin, a multiple view modeling approach for variability. A metamodel or surrogate model is a model of a model, and metamodeling is the process of generating such metamodels.
Requirements dependencies have very strong influence on all development phases of member products in a product line. Modeling variability is one of the most important tasks during the analysis phase. A model and software system for coordinated and multiple. Automated software product line engineering and product. This paper describes variability management in uml based multiple view models of the software product line, which consist of developing. It defines a process to help business users and software developers share a clear and precise vocabulary, design and specify component. Microsoft office sharepoint services moss is a powerful product with a broad range of functionality available out of the box. Architecting software systems using model transformations and. The work clearly shows the relationship between the goals of modeling.
A key aspect of variability management in software product families is the explicit. 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. Variability modeling in modeldriven software product line. Behavioral domain analysis the applicationbased domain modeling approach 4 catalysis 10 is an approach to systematic businessdriven development of componentbased systems.
Software product families are recognized as a successful approach to reuse in. A contractbased approach for managing dynamic variability. The metamodel depicts life cycle phases, views within each phase, and. We introduce an approach to model soa variability with a multipleview soa variability model and a corresponding metamodel. The book provides a definition of different kinds of modeling languages. Effective variability management requires comprehensive changes to the software development process. Variability management is concerned with the management of the. Despite the existence of studies to map out available evidence on traceability for single systems development, there is a lack of understanding on common. This metamodel defines the performance measure as a function of the factors that affect it.
Spl community has spent huge amount of resources on developing various approaches to dealing with variability related challenges over the last decade. Core assets development cad, product development pd and management m. 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 tool support is implementing to verify the approach validity. Our paper addresses this problem by applying software product line spl concepts to model soa systems as service families. In this way, the feature based multidisciplinary manufacturing system can be established in a consistent and systematic way. Multipleview modelling and metamodelling of software. The approach focuses on describing architectural contracts to deal with dynamic variability, and on their association with a software product line. First, an initial model of the product line is created that captures the variability of the feature model. 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. Reuse and variability in large software applications. The functional requirements of a spl are described with reusable.
In the previous approaches, authors extended the uml metamodel for. 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 variability management process for software product lines. 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. 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. Thus, when product line assets are carefully designed, both quality and timetomarket requirements can be achieved.
Introduction the software product lines engineering 1. Leveraging product line engineering for the development of. In software engineering software product lines spl are widely employed for developing systems that are characterized by a high degree of variability. This paper describes a featureoriented approach for managing variability in reusable requirement models for software product lines. Pdf a multiple views model for variability management in. Variability modelling for modeldriven development of. A multipleview metamodel for software product lines describes how each view relates semantically to other views. Agile constructor and evaluation of product line architecture. In fy 20 they quantified the sensitivity of lean and egrdilute combustion to airfuel ratio and combustion phasing perturbation. Vmm leverages variability modeling ideas at metamodel level to address revisions in modelbased software product lines. 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. Indeed, they proposed an approach for modelling data variability as an integral part of the entire data intensive software product. Software language engineering springer for research. Variability modelling usingmodels figure 1 shows an overview of the modelbased development process for software product lines using the modelling approach.
We introduce a multiple view soa variability model based on feature. Modeling variability in the context of software product lines has been around for about 25 years in the research community. The software product line approach pl promotes the generation of specific products from a set of core assets for a given domain. 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. In this paper we present and examine the different types of variability. Shin a multipleview metamodeling approach for variability management in software product lines. Systematic management of variability in umlbased software. 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. This approach is applicable to domains in which products have welldefined commonalities and variation points. A multiple view metamodeling approach for variability management in software product lines. This approach models variability in the conceptual database schema which generates a relational and variable schema.
A key challenge in software product line engineering is to rep. Generative software product line development using. In proceedings of the 8th international conference on software reuse icsr 2004, july 2004. A framework for modeling variability in software product families. A key challenge in software product line engineering is to represent solution space variability in an economic, yet easily understandable fashion. A multipleview metamodeling approach for variability.
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. 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. A framework for the metamodeling of multivariant systems. Schmidt, atif memon, adam porter, diego sevilla 286.
A domainspecific metamodeling language dsm2l enables language engineers to define a family of similar metamodelbased languages. The metamodeling approach also reduces the computation cost of simulation models. We introduce the notion of hierarchical variability models to describe families of products in a manner that facilitates their modular design and analysis. This paper describes a multipleview metamodeling approach for managing variability in software product lines using the unified modeling language notation. 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. Over the last few decades many studies have focused on the oxygen depletion of coastal and oceanic waters. Variants and versions management for models with integrated. 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. A multipleview modelling and metamodelling approach for software product lines spls using the unified modelling language notation is described. Reuse has always been a major goal in software engineering, since it promises large gains in productivity, quality and time to market reduction. Software product lines deal with reusable assets across a domain by exploring requirements commonality and variability. An approach to managing feature dependencies for product.
Visualisation of variability in software product line. This paper describes an approach for modeling variability in software product lines that are developed, and later evolved, using modeldriven software product line development. Highlights we present variable metamodel vmm, an approach to address the coevolution of models and metamodels. In order to guarantee that domain experts and developers understand each other variability has to be modeled explicitly. Soa systems need the capability of managing variability to address different client requirements. Multiple view metamodeling, as the underlying representation of the multiple views. An automated modelbased testing approach in software. A metamodeling approach to tracing variability between requirements and architecture in software product lines. Nasa astrophysics data system ads chakraborty, souvik. 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. Featurebased variability metamodeling for serviceoriented. Product line software engineering is a systematic approach to realize large scale software reuse. A multipleview metamodeling approach for variability management in software product lines hassan gomaa, michael e. Shin a multiple view metamodeling approach for variability management in software product lines.
Modeldriven engineering for software product lines hindawi. A processdriven and ontology based software product line variability modeling approach 3. 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. Software product line advanced topic risk management. Software product lines spl promote reusable development for product families. 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. Modeling variability in software product lines with the. Shin 274 validating quality of service for reusable software via modelintegrated distributed continuous quality assurance arvind s. 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. Introduction software product line engineering sple intends to develop software intensive systems using platforms and mass customisation 1, 2. Software product lines are characterized through common and variable parts.
Sequential experimental design based generalised anova. 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. 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. 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. Pdf featurebased variability metamodeling for service.
However, soa systems currently lack a systematic approach for managing variability in service requirements and design. The metamodel depicts life cycle phases, views within each phase, and metaclasses within each view. This paper describes a model for expressing coordination in multiple view visualization systems. This paper describes variability management in uml. In recent years, several dsm2ls have been developed for various domains, e. The software product line approach pl promotes the generation of specific products. Multipleview metamodeling of software product lines, 8th international conference. Managing variability in reusable requirement models for.
A hierarchical variability model for software product lines. We present the model and describe a prototype implementation that illustrates the features of the 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. Design patterns are best practices for addressing recurring design problems in objectoriented source code. Over the last decade, surrogate modelling technique has gained wide popularity in the field of uncertainty quantification, optimization, model exploration and sensitivity analysis. This makes variability management and product derivation tasks.
The software product line pl approach promotes the generation of specific products from a set of core assets for a given domain. In 45, 46,47 the author proposed a multiple view metamodeling approach for variability management in a given domain. 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. Uml 2 semantics and applications pdf free download. In this paper we focus on applying the adom approach to uml and especially to its class and sequence diagrams. The book provides a definition of different kinds of modeling languages, their instrumentation with tools such as editor. Behavioral domain analysis the applicationbased domain.
Multipleview metamodeling of software product lines, 8th. T a multiple views model for variability management in. Reuse and variability in large software applications acm. The feature model view is the key for managing variability in software product lines. Modeling variability in software product lines with the variation point. Variability modeling for service oriented product line architectures. Leveraging variability modeling to address metamodel. 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.
It started with feature modeling and soon enough was extended to handle many different concerns. A metamodeling approach to tracing variability between requirements and architecture in software product lines 2. This paper presents smarty, a variability management approach for umlbased software product lines pl. 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. Variability management vm in software product line spl is a key activity that usually affects the degree to which a spl is successful. 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. 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. Tool support for software variability management and. Multipleview metamodeling of software product lines. A model for tracing variability from features to product. Towards metamodel support for variability and traceability. Methods, techniques, and tools, volume 3107 of lecture notes in computer science, pages 274285. Shin, a multiple view metamodeling approach for variability management in software product lines, lecture notes in computer science, vol.
453 664 1208 290 1272 143 157 1360 222 74 610 635 77 67 772 805 1426 789 1299 190 1477 730 98 1273 1018 1209 1374 1038 133 506 1087 1061 38 4 320 426 1122 526 1103 327