Understanding schema evolution as a basis for database reengineering

Maxime Gobert; Jérôme Maes; Anthony Cleve; Jens Weber

doi:10.1109/ICSM.2013.75

Understanding schema evolution as a basis for database reengineering

Maxime Gobert, Jérôme Maes, Anthony Cleve, Jens Weber

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

Abstract

Software repositories can provide valuable information for facilitating software reengineering efforts. In recent years, many researchers have started to follow a holistic approach, considering diverse software artifacts and the links existing between them. However, when analyzing data-intensive systems, comparatively little attention has been devoted to the analysis of an important system artifact: the database. Even fewer approaches attempt to uncover facts about the evolution history of database schemas. We have developed a tool-supported method for analyzing and visualizing database schema history. This paper reports early results of applying and validating this method. We discuss our experiences to date and point out several novel research perspectives in this domain.

Original language	English
Title of host publication	IEEE International Conference on Software Maintenance, ICSM
Publisher	IEEE Computer society
Pages	472-475
Number of pages	4
ISBN (Electronic)	1063-6773
DOIs	https://doi.org/10.1109/ICSM.2013.75
Publication status	Published - 1 Dec 2013
Event	29th IEEE International Conference on Software Maintenance, ICSM 2013 - Eindhoven, Netherlands Duration: 22 Sep 2013 → 28 Sep 2013

Conference

Conference	29th IEEE International Conference on Software Maintenance, ICSM 2013
Country/Territory	Netherlands
City	Eindhoven
Period	22/09/13 → 28/09/13

Keywords

Data reengineering
Mining software repositories
Schema evolution

Access to Document

10.1109/ICSM.2013.75

Cite this

@inproceedings{6fe7aa0f842f426e8566e240b61c4404,

title = "Understanding schema evolution as a basis for database reengineering",

abstract = "Software repositories can provide valuable information for facilitating software reengineering efforts. In recent years, many researchers have started to follow a holistic approach, considering diverse software artifacts and the links existing between them. However, when analyzing data-intensive systems, comparatively little attention has been devoted to the analysis of an important system artifact: the database. Even fewer approaches attempt to uncover facts about the evolution history of database schemas. We have developed a tool-supported method for analyzing and visualizing database schema history. This paper reports early results of applying and validating this method. We discuss our experiences to date and point out several novel research perspectives in this domain.",

keywords = "Data reengineering, Mining software repositories, Schema evolution",

author = "Maxime Gobert and J{\'e}r{\^o}me Maes and Anthony Cleve and Jens Weber",

year = "2013",

month = dec,

day = "1",

doi = "10.1109/ICSM.2013.75",

language = "English",

pages = "472--475",

booktitle = "IEEE International Conference on Software Maintenance, ICSM",

publisher = "IEEE Computer society",

note = "29th IEEE International Conference on Software Maintenance, ICSM 2013 ; Conference date: 22-09-2013 Through 28-09-2013",

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T1 - Understanding schema evolution as a basis for database reengineering

AU - Gobert, Maxime

AU - Maes, Jérôme

AU - Cleve, Anthony

AU - Weber, Jens

PY - 2013/12/1

Y1 - 2013/12/1

N2 - Software repositories can provide valuable information for facilitating software reengineering efforts. In recent years, many researchers have started to follow a holistic approach, considering diverse software artifacts and the links existing between them. However, when analyzing data-intensive systems, comparatively little attention has been devoted to the analysis of an important system artifact: the database. Even fewer approaches attempt to uncover facts about the evolution history of database schemas. We have developed a tool-supported method for analyzing and visualizing database schema history. This paper reports early results of applying and validating this method. We discuss our experiences to date and point out several novel research perspectives in this domain.

AB - Software repositories can provide valuable information for facilitating software reengineering efforts. In recent years, many researchers have started to follow a holistic approach, considering diverse software artifacts and the links existing between them. However, when analyzing data-intensive systems, comparatively little attention has been devoted to the analysis of an important system artifact: the database. Even fewer approaches attempt to uncover facts about the evolution history of database schemas. We have developed a tool-supported method for analyzing and visualizing database schema history. This paper reports early results of applying and validating this method. We discuss our experiences to date and point out several novel research perspectives in this domain.

KW - Data reengineering

KW - Mining software repositories

KW - Schema evolution

UR - http://www.scopus.com/inward/record.url?scp=84891679693&partnerID=8YFLogxK

U2 - 10.1109/ICSM.2013.75

DO - 10.1109/ICSM.2013.75

M3 - Conference contribution

AN - SCOPUS:84891679693

SP - 472

EP - 475

BT - IEEE International Conference on Software Maintenance, ICSM

PB - IEEE Computer society

T2 - 29th IEEE International Conference on Software Maintenance, ICSM 2013

Y2 - 22 September 2013 through 28 September 2013

ER -

Understanding schema evolution as a basis for database reengineering

Abstract

Conference

Keywords

Access to Document

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Analyse empirique de la co-évolution et l'interaction sociale dans les systèmes logiciels orientés données

Evolution: Evolution

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Understanding schema evolution as a basis for database reengineering

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

Analyse empirique de la co-évolution et l'interaction sociale dans les systèmes logiciels orientés données

Evolution: Evolution

Cite this