2009
DOI: 10.1007/978-3-642-03573-9_5
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XTaGe: A Flexible Generation System for Complex XML Collections

Abstract: Abstract. We introduce XTaGe (XML Tester and Generator), a system for the synthesis of XML collections meant for testing and microbenchmarking applications. In contrast with existing approaches, XTaGe focuses on complex collections, by providing a highly extensible framework to introduce controlled variability in XML structures. In this paper we present the theoretical foundation, internal architecture and main features of our generator; we describe its implementation, which includes a GUI to facilitate the sp… Show more

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Cited by 1 publication
(2 citation statements)
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“…In this section we describe briefly the architecture of XTaGe, which is further explained in [9]. XTaGe supports two ways of generating complex XML collections: (i) creating XML documents from scratch and (ii) transforming existing XML documents.…”
Section: Xtage Architecturementioning
confidence: 99%
See 1 more Smart Citation
“…In this section we describe briefly the architecture of XTaGe, which is further explained in [9]. XTaGe supports two ways of generating complex XML collections: (i) creating XML documents from scratch and (ii) transforming existing XML documents.…”
Section: Xtage Architecturementioning
confidence: 99%
“…In this demonstration we present XTaGe [9], an XML Tester and Generator, which focuses on the creation of collections with complex structural constraints and domain-specific characteristics. XTaGe addresses the shortcomings present in state-of-the-art generators by providing (i) a flexible component-based framework to create highly tailored generators to adapt XTaGe to new domains (ii) a ready-made set of components that model common patterns that arise in complex collections (iii) easy adaptability to new use cases using a high-level language (XQuery) and (iv) a GUI to facilitate the specification of collections by simply dragging and dropping components and filling in the parameters.…”
Section: Introductionmentioning
confidence: 99%