Lanza, Michele (2001). The Evolution Matrix: Recovering Software Evolution using Software Visualization Techniques. In: IWPSE: 4th International Workshop on Principles of Software Evolution (p. 37). ACM 10.1145/602461.602467
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One of the major problems in software evolution is coping with the complexity which stems from the huge amount of data that must be considered. The current approaches to deal with that problem all aim at a reduction of complexity and a filtering of the relevant information. In this paper we propose an approach based on a com- bination of software visualization and software metrics which we have already successfully applied in the field of software reverse engineering. Using this approach we discuss a simple and effective way to visualize the evolution of software systems which helps to recover the evolution of object oriented software systems.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) 08 Faculty of Science > Institute of Computer Science (INF) > Software Composition Group (SCG) [discontinued] |
UniBE Contributor: |
Lanza, Michele |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics |
ISBN: |
1-58113-508-4 |
Publisher: |
ACM |
Language: |
English |
Submitter: |
Anja Ebeling |
Date Deposited: |
06 Dec 2017 09:25 |
Last Modified: |
11 Apr 2024 16:12 |
Publisher DOI: |
10.1145/602461.602467 |
BORIS DOI: |
10.7892/boris.104585 |
URI: |
https://boris.unibe.ch/id/eprint/104585 |