Grammar Inference Technology Applications in Software Engineering

There are many problems whose solutions take the form of patterns that may be expressed using grammars (e.g., speech recognition, text processing, genetic sequencing, programming language development, etc.). Construction of these grammars is usually carried out by computer scientists working with domain experts. Grammar inference (GI) is the process of learning a grammar from examples, either positive (i.e., the pattern should be recognized by the grammar) and/or negative (i.e., the pattern should not be recognized by the grammar). This research makes a fundamental contribution toward software engineering and grammar inference technology by: 1) advancing GI algorithms which may also have new applications in other areas of computer science (e.g., bioinformatics), 2) facilitating development of domain-specific languages (DSL's) for domain experts, thus increasing productivity and reliability, and 3) providing tools for recovering software model descriptions (metamodels) from models which have evolved independently of the metamodel. Further details about the project are described here.

Component-Based Aspect-Oriented Compiler Development

The intrinsic complexity engaged in a language implementation is revealed by the fact that compiler entities in a language implementation cannot be easily modularized. The goal of our new language implementation framework is to break the compiler constructs into pluggable components, which helps to improve the modularity in the language development process and alleviate the development and maintenance complexity. By utilizing component-based software engineering and the aspect-oriented development paradigm, this framework is targeted to address the modularity problem in compiler design in both structural and functional dimensions. Further details about the project are described here.

A Unified Approach for the Integration of Distributed Heterogeneous Software Components

A framework is proposed for assembling software systems from distributed heterogeneous components. For the successful deployment of such a software system, it is necessary that its realization not only meets the functional requirements but also non-functional requirements such as Quality of Service (QoS) criteria. The approach described is based on the notions of a meta-component model called the Unified Meta Model (UMM), a generative domain model, and specification of appropriate QoS parameters. A formal specification based on Two-Level Grammar is used to represent these notions in a tightly integrated way so that QoS becomes a part of the generative domain model. Further details about the project are described here.

Natural Language Specification Technology for Object-Oriented Designs

A methodology is proposed for the formal development of software systems from a user's requirements specification in natural language into a complete implementation, proceeding through the steps of formal specification, and detailed design and implementation in an automated manner. Our methodology is based upon the theories of Two-Level Grammar (TLG) and object-oriented design and takes advantage of the existence of several existing software design tools. We develop an iterative transformation process from the natural language specification into the final implementation, with a specification development environment to assist the user, as well as the designer in accomplishing this transformation. Our underlying formal specification methodology may also be used in the final development of the implementation. This methodology will advance object-oriented software development and the software engineering process in general. Further details about the project are described here.