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

Abstract. We present Clafer, a class modeling language with first-class support for feature modeling. We designed Clafer as a concise notation for class models, feature models, mixtures of class and feature models (such as components with options), and models that couple feature models and class models via constraints (such as mapping feature configurations to component configurations). Clafer also allows arranging models into multiple specialization and extension layers via constraints and inheritance. We identified four key mechanisms allowing a class modeling language to express feature models concisely and show that Clafer meets its design objectives using a sample product line. 1

Abstract – Design patterns and their catalogs are an important phenomenon in software development, and they present a challenge to modeling techniques and supporting tools. In this paper we identify and illustrate the problem in terms of the creational family and one of its members, the

Context. A software artefact typically makes its functionality available through a specialized Application Programming Interface (API) describing the set of services offered to client applications. In fact, building any software system usually involves managing a plethora of APIs, which complicates the development process. In Model-Driven Engineering (MDE), where models are the key elements of any software engineering activity, this API management should take place at the model level. Therefore, tools that facilitate the integration of APIs and MDE are clearly needed. Objective. Our goal is to automate the implementation of API-MDE bridges for supporting both the creation of models from API objects and the generation of such API objects from models. In this sense, this paper presents the API2MoL approach, which provides a declarative rule-based language to easily write mapping definitions to link API specifications and the metamodel that represents them. These definitions are then executed to convert API objects into model elements or vice versa. The approach also allows both the metamodel and the mapping to be automatically obtained from the API specification (bootstrap process). Method. After implementing the API2MoL engine, its correctness was validated using several APIs.