A practical model-checking (MC) approach for fault analysis, that is one of the most cost-effective tasks in software development, is proposed. The proposed approach is based on a technique, named “Program-oriented Modeling” (POM) for extracting a model from source code. The framework of model extraction by POM provides configurable abstraction based on user-defined transformation rules, and it supports trial-and-error model extraction. An environment for MC called POM/MC was also built. POM/MC analyzes C source code to extract Promela models used for the SPIN model checker. It was applied to an industrial software system to evaluate the efficiency of the configurable model extraction by POM for fault analysis. Moreover, it was shown that the proposed MC approach can reduce the effort involved in analyzing software faults by MC.

The globalization of commerce has increased the importance of retrieving and updating complex and distributed information efficiently. Web services currently show that the most promise for building distributed application systems and model-driven architecture is a new approach to developing such applications. The expanding scale and complexity of enterprise information systems (EISs) under distributed computing environments has made sharing and exchanging data particularly challenging. Data services are applications tailored specifically for information oriented tasks to deal with business service requirements, and are heavily dependent on the distributed architecture of consumer data processing. The implementation of a data service can eliminate inconsistency among various application systems in the exchange of data. This paper proposes a data-oriented model-driven developmental framework to deal with these issues, in which a platform independent model (PIM) is divided into a service model, a logic data model, and a service composition model. We also divide a platform specific model (PSM) into a physical data model and a data service model. In this development method, we define five meta-models and outline a set of rules governing the transformation from PIMs into PSMs. A code generator is also included to transform each PSM into the application code. We include a case study to demonstrate the feasibility and merits of the proposed development framework with a case study.

Model-Driven Engineering and Domain-Specific Modeling Languages are encouraging an increased used of metamodels for the definition of languages and tools. Although the Meta Object Facility language is the standard for metamodeling, there are alternative metamodeling languages that are aimed at satisfying specific requirements. In this context, sharing information throughout different domains and tools requires not only being able to translate models between modeling languages defined with the same metamodeling language, but also between different metamodeling languages. This paper addresses this latter need describing a general technique to define transformations that perform this translation. In this work, two case studies illustrate the application of this process.