Understanding Software Evolution Using a Combination of Software Visualization and Software Metrics

Lanza, Michele; Ducasse, Stéphane (2002). Understanding Software Evolution Using a Combination of Software Visualization and Software Metrics. In: LMO'02: Langages et Modèles à Objet.

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Coping with huge amounts of data is one of the major problems in the context of software evolution. Current approaches reduce this complexity by filtering out irrelevant information. In this paper we propose an approach based on a combination of software visualization and software metrics, as software visualization is apt for complexity reduction and metrics introduce the possibility to qualify evolution. 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. In addition we define a vocabulary that qualifies some specific situations that occurs when considering system evolution.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF)
08 Faculty of Science > Institute of Computer Science (INF) > Software Composition Group (SCG)

UniBE Contributor:

Ducasse, Stephane

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

Language:

English

Submitter:

Manuela Bamert

Date Deposited:

04 Dec 2017 12:59

Last Modified:

22 Oct 2019 18:54

BORIS DOI:

10.7892/boris.104587

URI:

https://boris.unibe.ch/id/eprint/104587

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