Evolution and change management of XML-based systems

Nečaský, Martin; Klímek, Jakub; Malý, Jakub; Mlýnková, Irena

doi:10.1016/j.jss.2011.09.038

Cited by 31 publications

(28 citation statements)

References 18 publications

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“…The author gave semantics of the proposed primitives and showed how to maintain the schema consistency after a schema update. As far as high-level XML schema change operations are concerned, there are four works that are more strictly related with our current work: [18], [34], [36], and [38].…”

Section: Related Work and Discussionmentioning

confidence: 99%

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High-Level Operations for Creation and Maintenance of Temporal and Conventional Schema in the tauXSchema Framework

Brahmia

Grandi

Oliboni

et al. 2014

2014 21st International Symposium on Temporal Representation and Reasoning

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tauXSchema is a framework for constructing and validating time-varying XML documents through the use of a temporal schema. This latter ties together a conventional schema (i.e., a standard XML Schema document) and its corresponding logical and physical annotations, which are stored in an annotation document. Conventional schema and logical and physical annotations undergo changes to respond to changes in user requirements or in the real-world. Consequently, the corresponding temporal schema is also evolving over time. In this paper, we study operations which help designers for changing such schema components. Indeed, we propose three sets of highlevel operations for changing temporal schema, conventional schema, and annotations. These high-level operations are based on the low-level operations proposed in our previous work [11,12,14,15,16]. They are also consistency preserving and more user-friendly than the low-level operations. Besides, we have divided the proposed operations into basic high-level operations (i.e., high-level operations that cannot be defined by using other basic high-level operations) and complex ones.

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Section: Related Work and Discussionmentioning

confidence: 99%

“…In [38], the authors propose a set of composite operations for changing XML schema at conceptual levels (i.e., PIM and PSM levels), within an approach based on the principles of Model-Driven Development. Obviously, each composite operation is a sequence of two or more atomic operations.…”

Section: Related Work and Discussionmentioning

confidence: 99%

High-Level Operations for Creation and Maintenance of Temporal and Conventional Schema in the tauXSchema Framework

Brahmia

Grandi

Oliboni

et al. 2014

2014 21st International Symposium on Temporal Representation and Reasoning

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“…However these specifications suffer from lack of analytical capabilities [73]. To bridge this gap, various tools for formal specification of business processes and services have been utilized including petri nets [19,41,66], regular tree grammar [49], metagraphs [2], ontological specifications and semantic annotations [8,12,29,31,33,36,41], Kleen algebra [18], first order logic [73,91], PI Calculus [58], finite state machine [62], alloy [11], prolog [10,48] and process algebra [83].…”

Section: Dependency-based Impact Analysismentioning

confidence: 99%

“…Tools and techniques for analyzing such changes fall under top-down change analysis. Existing work in this area has multiple facets like business process-tosource code and service implementations [60,85], higher level models to lower level detailed models [9,11,44,49,64] and composite services to underlying artifacts [14]. Table 5 provides an overview of the change analysis and propagation solutions at the business level while considering their hierarchical coverage.…”

Section: Top-down Impact Analysis and Propagationmentioning

confidence: 99%

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Impact analysis and change propagation in service-oriented enterprises: A systematic review

Alam

Ahmad

Akhunzada

et al. 2015

Information Systems

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PolyMigrate: Dynamic Schema Evolution and Data Migration in a Distributed Polystore

Stiemer

Vogt

Schuldt

et al. 2021

Heterogeneous Data Management, Polystores, and Analytics for Healthcare

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In the last years, polystore databases have been proposed to cope with the challenges stemming from increasingly dynamic and heterogeneous workloads. A polystore database provides a logical schema to the application, but materializes data in different data stores, different data models, and different physical schemas. When the access pattern to data changes, the polystore can decide to migrate data from one store to the other or from one data model to another. This necessitates a schema evolution in one or several data stores and the subsequent migration of data. Similarly, when applications change, the global schema might have to be changed as well, with similar consequences on local data stores in terms of schema evolution and data migration. However, the aspect of schema evolution in a polystore database has so far largely been neglected. In this paper, we present the challenges imposed by schema evolution and data migration in Polypheny-DB, a distributed polystore database. With our work-in-progress approach called PolyMigrate, we show how schema evolution and data migration affect the different layers of a distributed polystore and we identify different approaches to effectively and efficiently propagate these changes to the underlying stores.

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Evolution and change management of XML-based systems

Cited by 31 publications

References 18 publications

High-Level Operations for Creation and Maintenance of Temporal and Conventional Schema in the tauXSchema Framework

High-Level Operations for Creation and Maintenance of Temporal and Conventional Schema in the tauXSchema Framework

Impact analysis and change propagation in service-oriented enterprises: A systematic review

PolyMigrate: Dynamic Schema Evolution and Data Migration in a Distributed Polystore

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