The Entity Container - An Object-Oriented and Model-Driven Persistency Cache

Schmoelzer, G.; Mitterdorfer, Stefan; Kreiner, Christian; Faschingbauer, J.; Kovács, Zsolt; Teiniker, Egon; Weiß, Reinhold

doi:10.1109/hicss.2005.593

Cited by 15 publications

(4 citation statements)

References 3 publications

(1 reference statement)

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“…The Entity Container (EC) [12] has been proposed as an object-oriented, model-driven data persistency cache. It is configured by a data model and can load and store data with several different persistency mechanisms (such as XML files or relational databases) via connected backingstores.…”

Section: Entity Containermentioning

confidence: 99%

Interpreting Model-Based Components for Information Systems

Thonhauser

Kreiner

Schmid

2009

2009 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems

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To foster the reuse of software artifacts various approaches like Component Based Software Engineering or Model-Driven Software Development have been proposed. These approaches support a developer in generating and implementing platform specific software artifacts, which can be executed on the chosen runtime architecture. To facilitate portability of these artifacts to other runtime architectures it is important to model various aspects of the artifact (i.e. user interface, behavior, data) in a platform independent way. While this abstraction helps to reduce complexity of the problem, choosing the right granularity of methods provided by this artifact is another important issue for enhancing software quality.Considering these aspects a model-based development approach is presented, which is based on the interpretation of several model views -like state machine and class diagrams being provided by a model-based software component. Additionally the integration of components build with this approach in the design of an information system is discussed. The proposed architecture is evaluated by an implementation in the software application domain of logistics.

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Section: Entity Containermentioning

confidence: 99%

Interpreting Model-Based Components for Information Systems

Thonhauser

Kreiner

Schmid

2009

2009 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems

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“…The application of data models at runtime providing the structural specification of the developed software is supported by the concept of the EntityContainer (EC) [7]. Elements defined in the data model are treated as entities being accessible by a dynamic or static interface and having their own identity and lifecycle.…”

Section: Related Workmentioning

confidence: 99%

ECQL: A Query and Action Language for Model-Based Applications

Krenn

Thonhauser

Kreiner

2010

2010 17th IEEE International Conference and Workshops on Engineering of Computer Based Systems

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Modern distributed computer systems with mobile and embedded devices as first class citizens are formed from heterogeneous platforms. To support this heterogeneity along with adaptation of the system an approach for interpretation of domain specific models at runtime has been proposed with the concept of Model-Based Software Components (MBSC), separating the domain specific functionality from the current technical platform. This is achieved by the usage of different sets of high-level models. These sets are interpreted by a portable, plugin-extensible runtime environment, utilizing several instances of model-based containers (MCC) for models and their corresponding data.In this paper the design of a domain specific language is presented, enabling the specification of accessing and manipulating data entities provided by various MCCs used in the runtime architecture of a MBSC. For demonstration purposes the application of the various language elements is presented using a case study of an exemplary distributed pervasive system running in the business domain of logistics.

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“…Business data as well as jurisdiction are frequently updated. For this reason, simplifying the task of a developer requires an MDA approach to generate the skeleton of both the persistency and CRUD application layers (Evans, 2004;Schmoelzer et al, 2005).…”

Section: Model-driven Interface Generationmentioning

confidence: 99%

Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics

Tamisier

Feltz

2011

International Journal of E-Entrepreneurship and Innovation

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The authors present the design and some implementation trials of Atlas, a new reasoning and decision making assistant used for processing complex and heterogeneous procedural workflows. Benefiting from a multicore implementation, Atlas includes different solving engines that are selected according to the intrinsic complexity of the problem being processed. The operational knowledge of Atlas is accessed through 2 different views. In an analytical view, the knowledge is modeled on elementary if-then rules, which are processed by a resolution engine written in the Soar architecture. A synthetic view offers a pictorial representation of all the knowledge, and in particular, shows the inter-dependence of the rules and their procedural references. In addition to allowing an efficient processing, the system checks the coherence of the knowledge and produces a justification of the decision with respect to relevant operational procedures.

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The Entity Container - An Object-Oriented and Model-Driven Persistency Cache

Cited by 15 publications

References 3 publications

Interpreting Model-Based Components for Information Systems

Interpreting Model-Based Components for Information Systems

ECQL: A Query and Action Language for Model-Based Applications

Intelligent Agent for Modeling and Processing Decisional Workflows in Logistics

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