Semantically Configurable Code Generation

Formal Verification of Java Code Generation from UML Models

UML specifications offer the advantage to describe software systems while the actual task of implementing code for them is passed to code generators that automatically produce e.g. Java code. For safety reasons, it is necessary that the generated code is semantically equivalent to the original UML specification. In this paper, we present our approach to formally verify within the Isabelle/HOL t...

CSage: Use of a Configurable Semantically Attributed Graph Editor as Framework for Editing and Visualization

Implementation Model of Source Code Generator

The on demand generation of source code and its execution is essential if computers are expected to play an active role in information discovery and retrieval. This paper presents a model of implementation of a source code generator, whose purpose is to generate source code on demand. The implementation of the source code generator is fully configurable and its adoption to a new application is ...

Generic and Extensible Automatic Test Data Generation for Safety Critical Software with CHR

We present a new method for automatic test data generation (ATDG) applying to semantically annotated control-flow graphs (CFGs), covering both ATDG based on source code and assembly or virtual machine code. The method supports a generic set of test coverage criteria, including all structural coverage criteria currently in use in industrial software test for safety critical software. Several kno...

Verifying the Specification-to-Code Correspondence for Abstract Data Types

Formal specification has become an important issue in the development of safety critical software. Automatic code generation from specifications in general leads to inefficient implementations. Instead, we present a verification method that allows verifying an implementation against a given specification, using specification generation from program source code. Generated specifications can be c...