Sciweavers

Share
ICSM
1998
IEEE

Identification of Data Cohesive Subsystems Using Data Mining Techniques

9 years 10 months ago
Identification of Data Cohesive Subsystems Using Data Mining Techniques
The activity of reengineering and maintaining large legacy systems involves the use of design recovery es to produce abstractions that facilitate the understanding of the system. In this paper, we present an approach to design recovery based on data mining. This approach derives from the observation that data mining can discover unsuspected non-trivial relationships among elements in large databases. This observation suggests that data mining can be used to elicit new knowledge about the design of a subject system and that it can be applied to large legacy systems. We describe the ISA methodology which uses data mining to identify data cohesive subsystems. We were able to decompose COBOL systems into subsystems by using this approach. Our experience shows that data mining can identify data cohesive subsystems without any previous knowledge of the subject system. Furthermore, data mining can produce meaningful results regardless of system size making this approach especially appropriat...
Carlos Montes de Oca, Doris L. Carver
Added 04 Aug 2010
Updated 04 Aug 2010
Type Conference
Year 1998
Where ICSM
Authors Carlos Montes de Oca, Doris L. Carver
Comments (0)
books