Software visualization techniques for real-time imaging applications

Abstract

Real-time imaging applications are concerned with efficient and deterministic processing of digital images. These applications are predominantly written using structured programming rather than object-oriented programming with the belief that the former approach has better performance characteristics. Current research shows that this may not be the case and an object-oriented approach may not only result in efficient code but one that is more maintainable and understandable. We look at current techniques for visualizing the code for software applications to determine if they can help predict its qualities such as maintainability, understandability and performance, and suggest ways in which these techniques can be enhanced to meet the specific needs of real-time imaging applications.

Real-Time Image and Video Processing: From Research to Reality

“…A study was performed which showed which applying object-oriented design patterns could produce well-designed and efficient image processing systems with easy extensibility, maintainability, and reuse without sacrificing real-time performance. Due to these findings, in [128], it was argued that real-time image processing applications should be written using an object-oriented approach to achieve efficient, maintainable, and understandable code from the start. Such a design approach was shown to be superior since it can eliminate inefficiencies in software that are common in other design approaches.…”

“…One research group has primarily been involved in promoting the use of object-oriented design patterns for such systems as discussed in the references [90,104,127,128].…”