was held in December 2008 near Tokyo, Japan. The meeting brought together researchers and practitioners from a variety of subdisciplines of computer science to share research efforts and help create a new community. In this report, we survey the state of the art and summarize the technical presentations delivered at the meeting. We also describe some insights gathered from our discussions and introduce a new effort to establish a benchmark for bidirectional transformations. 1

When considering the past or the future, dear apprentice, be mindful of the present. If, while considering the past, you become caught in the past, lost in the past, or enslaved by the past, then you have forgotten yourself in the present. If, while considering the future, you become caught in the future, lost in the future, or enslaved by the future, then you have forgotten yourself in the present. Conversely, when considering the past, if you do not become caught, lost, or enslaved by the past, then you have remained mindful of the present. And if, when considering the future, you do not become caught, lost, or enslaved in the future, then you have remained mindful of the present. [14] Programmers in the real world wrestle everyday to overcome the impedance mismatch between relational data, objects, and XML. We have been working on solving this problem for the past ten years by applying principles from functional programming, in particular monads and comprehensions. By viewing data as monads and formulating queries as comprehensions, it becomes possible to unify the three data models and their corresponding programming languages instead of considering each as a separate special case. To actually bring this within the reach of mainstream programmers we have worked tirelessly on transferring functional programming technology from pure Haskell, via Cω to the upcoming versions of C ♯ 3.0 and Visual Basic 9 and the LINQ framework. Functional programming has finally reached the masses, except that it is called Visual Basic instead of Lisp,

Domain specific languages (DSLs) are increasingly used today. Coping with complex language definitions, evolving them in a structured way, and ensuring their error freeness are the main challenges of DSL design and implementation. The use of modular language definitions and composition operators are therefore inevitable in the independent development of language components. In this article, we discuss these arising issues by describing a framework for the compositional development of textual DSLs and their supporting tools. We use a redundance-free definition of a readable concrete syntax and a comprehensible abstract syntax as both representations significantly overlap in their structure. For enhancing the usability of the abstract syntax, we added concepts like associations and inheritance to a grammarbased definition in order to build up arbitrary graphs (as known from metamodeling). Two modularity concepts, grammar inheritance and embedding, are discussed. They permit compositional language definition and thus simplify the extension of languages based on already existing ones. We demonstrate that compositional engineering of new languages is a useful concept when project-individual DSLs with appropriate tool support are defined.

Developers need to programmatically access persistent XML data. Object-oriented access is often the preferred method. Translating XML data into objects or vice-versa is a hard problem due to the data model mismatch and the difficulty of query translation. We propose a framework that addresses this problem by transforming object-based queries and updates into queries and updates on XML using flexible, declarative mappings between classes and XML schema types. The same mappings are used to shred XML fragments from query results into client-side objects. Information in the XML store that is not mapped using the mapping language, such as comments and processing instructions, are also made available in the object representation. 1.

Developers need to access persistent XML data programmatically. Object-oriented access is often the preferred method. Translating XML data into objects or vice-versa is a hard problem due to the data model mismatch and the difficulty of query translation. Our prototype addresses this problem by transforming object-based queries and updates into queries and updates on XML using declarative mappings between classes and XML schema types. Our prototype extends the ADO.NET Entity Framework and leverages its object-relational mapping capabilities. We demonstrate how a developer can interact with stored relational and XML data using the Language Integrated Query (LINQ) feature of.NET. We show how LINQ queries are translated into a combination of SQL and XQuery. Finally, we illustrate how explicit mappings facilitate data independence upon database refactoring. 1.