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Integrated Data Mapping for a Software Meta-Tool 2009 Australian Software Engineering Conference Integrated data mapping for a software meta-tool Jun Huh1, John Grundy1,2, John Hosking1, Karen Liu1, Robert Amor1 1Department of Computer Science and 2Department of Electrical and Computer Engineering University of Auckland Private Bag 92019, Auckland 1142 New Zealand [email protected],{john-g,john,karen,trebor}@cs.auckland.ac.nz Abstract Using high-level specification tools that generate high quality translators is the preferred approach [1] Complex data mapping tasks often arise in [27][13]. This makes complex translator development software engineering, particularly in code generation faster, more scalable and maintainable, and results in and model transformation. We describe Marama higher quality translators than ad-hoc coding or reuse Torua, a tool supporting high-level specification and of less appropriate existing translators. Toolsets to implementation of complex data mappings. Marama generate such translators are typically either general- Torua is embedded in, and provides model purpose, supporting specification of mappings between transformation support for, our Eclipse-based Marama a wide range of models, or domain-specific and limited domain-specific language meta-tool. Developers can to a small range of source models and target formats. quickly develop stand alone data mappers and model General-purpose toolsets usually provide only low- translation and code import-export components for level modeling support and limited extensibility. their tools. Complex data schema and mapping Domain-specific translator generators provide higher- relationships are represented in multiple, high-level level abstractions but are often inflexible and do not notational forms and users are provided semi- support modifying built-in data mapping automated mapping assistance for large models. specifications. MaramaTorua is a set of Eclipse plug-ins allowing We describe MaramaTorua 1 , a new multi-view, close integration with other tools such as schema semi-automated, translator specification environment browsers, and with the Marama meta-tool itself. which provides high-level mapping specifications for model transformation, code generation and data 1. Introduction mapping. MaramaTorua is built and integrated with our Marama domain-specific visual language meta- Many situations require the translation of data tool. This allows Marama users to integrate multiple from one format to another. This includes: tool models, transform models and generate code and • integrating two systems with different data file scripts using MaramaTorua. It also means the visual formats e.g. Computer-Aided Design tools; appearance, editing behavior and model semantics • exchanging business messages between systems checking of MaramaTorua itself can be tailored by with differing protocols; Marama users to support new data structures and • transforming an XML document e.g. a UML mappings for domain-specific data mapping tasks. diagram to SVG for rendering; MaramaTorua “mapping agents” assist end users to • generating code from a high-level model in interactively specify data mappings for large source model-driven development e.g. XMI model to and target schemas. A variety of target generator Java or C#. technologies are supported including XSLT, ATL and Java. Users can even use MaramaTorua to write new Typical approaches to building such complex data translator code generators for itself e.g. a QVT or JET translators include: ad-hoc coding in Java, C#, or other data translation code generator. high level languages [28]; reusing existing translators We begin by presenting a motivating example for (if suitable) [16]; writing XSLT, ATL, QVT or other MaramaTorua, key requirements for such a data (semi-)declarative translation scripts [3][10][31]; using tools that generate translators from high-level, visual specifications [1][12][13], and attempting to 1 Marama is New Zealand Maori for “moon”, the generator automatically infer data mappings [5][6][8]. of an eclipse. Torua is Maori for “transformer”. 1530-0803/09 $25.00 © 2009 IEEE 111 DOI 10.1109/ASWEC.2009.21 a c b d Figure 1. Examples of complex model transformations. mapping tool, and critiques of existing approaches. An or address values; or a complex repeating record outline of the MaramaTorua approach follows structure into a non-repeating hierarchical one. including its genesis in our earlier work. We then • Transformation of one Marama tool model to illustrate usage and describe architecture and another to facilitate tool integration or model- implementation approaches. Our experiences with the driven development. tool to date, and an evaluation of its strengths and weaknesses follow together with a summary and • Translation of a document from one format to directions for future research. another to facilitate business-to-business (B2B) enterprise system integration e.g. an ebXML 2. Motivation document to an EDI message [8][14]. • Export of data from one CAD package to another Consider the problem of translating a software e.g. a building design to a wiring design tool [2]. tool model from one format to another. For example, in Figure 1 (a) a Business Process Modeling Notation • Translation of a UML XMI model into a browser (BPMN) diagram, built with our Marama meta-tool, renderable form e.g. Scalable Vector Graphics represents a simple business process. Figure 1 (b) is (SVG), both represented by XML documents [23]. the XML encoding of this model. We want to translate Implementing ad-hoc programming language code this into a Business Process Execution Language for for each translation is time-consuming, error-prone and Web Services (BPEL4WS) specification, such as the difficult to maintain. Even using more declarative one in Figure 1 (c) for execution on a BPEL workflow transformation and code generation-support languages server or to another process model format for use in like XSLT, QVT, Velocity and JET is challenging. our ViTABaL-WS tool [21] (Figure 1 (d)). A few of Ideally an IDE supporting specification of complex the relationships between the BPMN document and inter-model relationships and generation of translator target BPEL4WS or ViTABaL-WS models are also implementations would be used. shown. Over many years of research in this domain, we Example mapping situations that need to be and others have identified several key requirements for supported include: such data mapping modeling and translator generator • Simple copy of the same values with different tools. These include: XML tags • More complex, formula-based conversion of date 112 • Use of a variety of appropriate, high-level domain- support for visualizing relationships and understanding specific visual languages for representing both the larger structure of the mappings and schema [13]. models and mappings Code generators have been an active area of • Ability to specify complex mappings easily research and practice for many years. Traditionally • Tool support to assist the user to manage the these were either custom-written code, template complexity of very large model mappings engines like Eclipse JET [11] or Apache Velocity [3], • Fully-automatic generation of translators from or “unparsers” that specified mappings from abstract high-level specifications syntax representations to code. As with data mapping • Incremental support for testing and refining languages like XSLT, model transformation with mapping specifications languages like ATL is difficult and time-consuming for • Integration with other common software large models. Recent approaches have supported code engineering tools, particularly IDEs generator extension and reuse via techniques such as aspect-oriented extension [28] and composition [16]. Data transformation for data-oriented tool While improving mapper development, these integration has usually been done on an ad-hoc basis approaches still use textual specifications and lack with adaptors or translators being authored to link tools high-level visualizations of the mapping process. as required [14]. While architectures have been Attempts have been made to automatically derive developed to simplify this process [16], these still model translators, particularly for automated database typically are reused by writing code specific to the tool schema mapping [6][7][26]. These are attractive as a integration task at hand. A number of tool interchange translator can be theoretically synthesized by “standards” have been developed to attempt to solve comparing source and target schema automatically. In this, e.g. XMI (models) and GXL (graphs) are two reality only limited parts of complex model common approaches [17][24]. However, many transformation can be done in a purely automated way situations require translation between quite different [26][30][5]. Our experience is that semi-automated tool models to facilitate data exchange [30]. mapping agents can greatly assist translator authors but B2B information exchange via XML-based must be limited to subsets of schema and coupled with formats has lead to development of a number of data good schema and mapping visualization support [5]. mapping tools for XML messaging and document In our own prior work we have developed a range exchange. These include StylusStudio, Altova of data mapping specification and translator tools. MapForce, and our own Rimu EDI/XML data mapper These include a declarative data mapping language and [1][14][27]. While such tools provide reasonable interpreter for CAD tool integration; an EDI message
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