Using Dynamic Analysis and Clustering for Implementing Services by Reusing Legacy Code

Migrating legacy systems towards Service-Oriented Architectures requires the identification of legacy code that is able to implement the new services. This paper proposes an approach combining dynamic analysis and data mining techniques to map legacy code to business processes and to identify code f...

Full description

Saved in:
Bibliographic Details
Main Authors: Fuhr, A., Horn, T., Riediger, V.
Format: Conference Proceeding
Language:English
Subjects:
Approximation algorithms
clustering
Clustering algorithms
dynamic analysis
Partitioning algorithms
Resource management
service implementation
service-oriented architectures
Software
software migration
Unified modeling language
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Migrating legacy systems towards Service-Oriented Architectures requires the identification of legacy code that is able to implement the new services. This paper proposes an approach combining dynamic analysis and data mining techniques to map legacy code to business processes and to identify code for service implementations based on this mapping. Validating the clustering solution in a first case study resulted in values of 70,6% in precision and 83,5% in recall.
ISSN:1095-1350
2375-5369
DOI:10.1109/WCRE.2011.41