.png){kind=icon}
Return
A unified framework for expressing software subsystem classification techniques
.png){kind=icon}
PRE
AI
DOI：10.1016/0164-1212(95)00098-4.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The architecture of a software system classifies its components into subsystems and describes the relationships between the subsystems. The information contained in such an abstraction is of immense significance in various software maintenance activities. There is considerable interest in extracting the architecture of a software system from its source code and, hence, in techniques that classify the components of a program into subsystems. Techniques for classifying subsystems presented in the literature differ in the type of components they place in a subsystem and the information they use to identify related components. However, these techniques have been presented using different terminology and symbols, making it harder to perform comparative analyses. This article presents a unified framework for expressing techniques of classifying subsystems of a software system. The framework is comprised of a consistent set of terminology, notation, and symbols that may be used to describe the input, output, and processing performed by these techniques. Using this framework, several subsystem classification techniques have been reformulated. This reformulation makes it easier to compare these techniques and provides a first step towards evaluating their relative effectiveness. (C) 1997 by Elsevier Science Inc.
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.1
Papers:
5.4K
Citations:
8.4K
Organization
No organization information available
Cited Papers
ShareSave
ShareSaveConcentration and refractive index sensor for methanol using short period grating fiber.png)
Optik
OptikIF0
PREAI
ShareSaveShareSaveSynthesis and conductivity properties of Gd0.8Ca0.2BaCo2O5+δ double perovskite by sol–gel combustion
PREAI
ShareSaveShareSave
View more