A greedy approach to object identification in imperative code

Author

Achee, B.L. ; Carver, Doris L.

Author_Institution

Louisiana State Univ., Baton Rouge, LA, USA

fYear

1994

fDate

14-15 Nov 1994

Firstpage

4

Lastpage

11

Abstract

The benefits of such recent innovations as object-oriented programming are not realized in most systems currently in use because they are, on average, over 10 years old. Additionally, they suffer from extensive maintenance. The paper addresses these concerns in the context of reverse engineering. It discusses the development of a method to identify objects in imperative code, specifically FORTRAN-77. An algorithm that uses a greedy approach to object extraction is presented. The imperative code is analyzed at the subroutine level and, using the concepts of graph theory, a set of objects is generated

Keywords

FORTRAN; FORTRAN listings; graph theory; object-oriented programming; reverse engineering; FORTRAN-77; graph theory; greedy approach; imperative code; object extraction; object identification; object-oriented programming; reverse engineering; subroutine level; Algorithms; Documentation; Formal specifications; Graph theory; Object oriented modeling; Object oriented programming; Reverse engineering; Software maintenance; Software systems; Technological innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Program Comprehension, 1994. Proceedings., IEEE Third Workshop on

Conference_Location

Washington, DC

ISSN

1092-8138

Print_ISBN

0-8186-5647-6

Type

conf

DOI

10.1109/WPC.1994.341242

Filename

341242