Quantifying schema evolution

  title={Quantifying schema evolution},
  author={D. Sj\oberg},
  journal={Information & Software Technology},
Achieving correct changes is the dominant activity in the application software industry. Modification of database schemata is one kind of change which may have severe consequences for database applications. The paper presents a method for measuring modifications to database schemata and their consequences, by using a thesaurus tool. Measurements of the evolution of a large-scale database application currently running in several hospitals in the UK are presented and interpreted. The kind of… CONTINUE READING
Highly Cited
This paper has 194 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 91 extracted citations

Impact analysis of database schema changes

2008 ACM/IEEE 30th International Conference on Software Engineering • 2008
View 3 Excerpts
Highly Influenced

Schema versioning and database conversion techniques for bi-temporal databases

Annals of Mathematics and Artificial Intelligence • 2000
View 3 Excerpts
Highly Influenced

ETL workflow reparation by means of case-based reasoning

Information Systems Frontiers • 2018
View 2 Excerpts

195 Citations

Citations per Year
Semantic Scholar estimates that this publication has 195 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 12 references

FIDE Course

M. P. Atkinson
Section 2.5, version 1.2, FIDE – ESPRIT Basic Research Action Project 3070, May • 1991
View 2 Excerpts

Type Evolution in an Object-Oriented Database

Research Directions in Object-Oriented Programming • 1987

Make-A Program for Maintaining Computer Programs

Softw., Pract. Exper. • 1979
View 2 Excerpts

The Data Dictionary System in Analysis and Design

T. J. Bourne
ICL Technical Journal 1(3), pp. 292-298, Nov. • 1979
View 1 Excerpt

Similar Papers

Loading similar papers…