Pattern-based design evolution using graph transformation

  • Authors:

  • Chunying Zhao;Jun Kong;Jing Dong;Kang Zhang

  • Affiliations:

  • University of Texas at Dallas, Richardson, TX 75083, USA;North Dakota State University, Fargo, ND 58105, USA;University of Texas at Dallas, Richardson, TX 75083, USA;University of Texas at Dallas, Richardson, TX 75083, USA

  • Venue:
  • Journal of Visual Languages and Computing
  • Year:
  • 2007

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Abstract

In recent years, design patterns gain more interest in software engineering communities for both software development and maintenance. As a template to solve a certain recurring problem, a design pattern documents successful experiences of software experts and gradually becomes the design guidelines of software development. Applying design patterns correctly can improve the efficiency of software design in terms of reusability and enhance maintainability during reverse engineering. Software can be evolved when developers modify their initial designs as requirements change. For instance, a developer may add/delete a set of design elements, such as classes and methods. Modifications on software artifacts can introduce conflicts and inconsistencies in the previously applied design patterns, which are difficult to find and time-consuming to correct. This paper presents a graph-transformation approach to pattern level design validation and evolution. Based on a well founded formalism, we validate a given design by a graph grammar parser and automatically evolve the design at pattern level using a graph-transformation system. Rules for potential pattern evolutions are predefined. The graph-transformation approach preserves the integrity and consistency of design patterns in the system when designs change. A prototype system is built and a case study on the Strategy pattern demonstrates the feasibility of pattern-based design validation and evolution using graph transformation techniques.