NDLI: A methodology to extract objects from procedural software

Content Provider	IEEE Xplore Digital Library
Author	Moon-Kun Lee Sung-Og Park
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci., Chonbuk Nat. Univ., Chonju, South Korea (Moon-Kun Lee)
Abstract	The paper presents a methodology to extract objects from procedural software. The methodology is the first phase in transforming procedural software to object oriented software. The methodology is based on the idea of generating all groups of object candidates with possible combinations and selecting a group with the best or optimal combination of candidates with respect to the degree of relativity and similarity between objects in the group and classes in a domain model. The methodology has innovative features in object extraction: a clustering method based on both static and dynamic clustering, the combinatorial cases of grouping object candidate cases based on abstraction, a refinement algorithm, a similarity algorithm for multiple n object and m classes, etc. This methodology provides reengineering experts with a comprehensive and integrated environment to select the best or optimal group of object candidates.
Starting Page	557
Ending Page	566
File Size	983474
Page Count	10
File Format	PDF
ISBN	0769507921
ISSN	07303157
DOI	10.1109/CMPSAC.2000.884781
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-25
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software maintenance Feature extraction Clustering algorithms Investments Data mining Computer science Object oriented modeling Clustering methods Environmental economics Productivity
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Software

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