Software configuration management and engineering data management: Differences and similarities

Westfechtel, Bernhard; Conradi, Reidar

doi:10.1007/bfb0053881

Cited by 22 publications

(17 citation statements)

References 29 publications

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“…The main PLM systems include Teamcenter [37], Winchill [29] and TiPLM [38] and all these systems provide workflow support (each using their own notation). Data management of these PLM systems follows that of EDM (engineering data management) systems which adopt versioning mechanisms (see [50] for more information about EDM and versioning mechanisms). The versioning relations between versions of business objects are captured in version graphs and the progression of particular versions is based on the states that the object may pass through (this progression being state-based is pointed out in [49]).…”

Section: Related Workmentioning

confidence: 99%

How to guarantee compliance between workflows and product lifecycles?

Wang

Hofstede

Ouyang

et al. 2014

Information Systems

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Abstract. Product Lifecycle Management (PLM) systems are widely used in the manufacturing industry. A core feature of such systems is providing support for versioning of product data. As workflow functionality is increasingly used in PLM systems the possibility emerges that versioning policies as encapsulated in process models are inconsistent with respect to their actual lifecycles. In this paper we define compliance of object versioning lifecycles with respect to process models and provide a solution to automatically checking whether compliance holds.

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Section: Related Workmentioning

confidence: 99%

How to guarantee compliance between workflows and product lifecycles?

Wang

Hofstede

Ouyang

et al. 2014

Information Systems

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“…Version branches, merge and locking mechanisms (check-in/check-out) and workspace managers allow the concurrent modification of a module by several developers (see the industrial tool CVS [5] and [7]). Now, with the development of component-based software, software design comes near to being system design and some researchers think to bring SCM and PDM together [18].…”

Section: Related Workmentioning

confidence: 99%

ProjectLeader: A Constraint-Based Process Support for the Distributed Design of Component-Based Products

Blin

Fabret

Kapitskaia

et al. 2002

Software Product-Family Engineering

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RésuméNous présentons, dans ce papier, un support d'aide à la conception collaborative de produits appartenant à une famille de produits. Le produit est modélisé par un arbre de composants et les contraintes de développement, utilisées pour guider le processus de conception, sont exprimées à l'aide d'un langage spécifique basé sur des expressions logiques. L'objectif principal de ProjectLeader est d'économiser le temps de conception en favorisant le travail simultané et en prévenant les retours en arrière. Ainsi, pour chaque intention de décision émise par un concepteur, ProjectLeader vérifie que la décision ne remettra pas en cause la possibilité d'atteindre un état correct du produit final, c'est-à-dire un état dans lequel toutes les contraintes sont vérifiées. Mots-clefs : conception collaborative, système à base de composants, modélisation et traitement de contraintes de conception, modélisation et traitement de la variabilité AbstractIn this paper we present a support that helps organizing distributed design of products belonging to a product family. We model the product to be developed as a component-based tree of object templates, develop a logic-based language that allows expressing diverse development constraints and use these constraints to guide the design process. The main objective of our support is to save time and development effort in increasing parallel work and avoiding roll-backs. For that, it reasons in terms of correctness of the future, final state of the product, and verifies that the product state after each operation allows the reacheability of such a state.

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“…The PDM and SCM research have been evolving fairly independently. Many researchers showed that PDM and SCM have studied similar issues and their tools have much in common: design philosophies and methods, versioned data structures, etc [10,16]. However, there exists fundamental differences.…”

Section: Introductionmentioning

confidence: 96%

A Unified Model for Product Data Management and Software Configuration Management

Nguyen

2006

21st IEEE/ACM International Conference on Automated Software Engineering (ASE'06)

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Software Configuration Management (SCM) is the discipline of managing the evolution of a software system. Product Data Management (PDM) is the discipline of controlling the evolution of a product design. These two domains have been evolving independently and fairly disconnected. Nowadays, the development of modern products involves a substantial and growing part of software development. However, due to the limitations of approaches taken by both domains, efforts to build a unified configuration management (CM) model of SCM and PDM have had limited success. This paper presents a novel unified CM model and its associated CM infrastructure/tools that are configurableand tailorable to support any engineering area. Key contributions include a novel methodology, a unified CM model, and associated tools that allow for the automatic generation of CM code for supporting both hardware designs and software artifacts in multidisciplinary engineering areas.

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Software configuration management and engineering data management: Differences and similarities

Cited by 22 publications

References 29 publications

How to guarantee compliance between workflows and product lifecycles?

How to guarantee compliance between workflows and product lifecycles?

ProjectLeader: A Constraint-Based Process Support for the Distributed Design of Component-Based Products

A Unified Model for Product Data Management and Software Configuration Management

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