Advanced search
Add to list

Defining and validating metrics for assessing the understandability of entity-relationship diagrams

(2008) DATA & KNOWLEDGE ENGINEERING. 64(3). p.534-557
Author
Organization

Citation

Please use this url to cite or link to this publication:

MLA
GENERO, M., et al. “Defining and Validating Metrics for Assessing the Understandability of Entity-Relationship Diagrams.” DATA & KNOWLEDGE ENGINEERING, vol. 64, no. 3, 2008, pp. 534–57.
APA
GENERO, M., Poels, G., & PIATTINI, M. (2008). Defining and validating metrics for assessing the understandability of entity-relationship diagrams. DATA & KNOWLEDGE ENGINEERING, 64(3), 534–557.
Chicago author-date
GENERO, M, Geert Poels, and M PIATTINI. 2008. “Defining and Validating Metrics for Assessing the Understandability of Entity-Relationship Diagrams.” DATA & KNOWLEDGE ENGINEERING 64 (3): 534–57.
Chicago author-date (all authors)
GENERO, M, Geert Poels, and M PIATTINI. 2008. “Defining and Validating Metrics for Assessing the Understandability of Entity-Relationship Diagrams.” DATA & KNOWLEDGE ENGINEERING 64 (3): 534–557.
Vancouver
1.
GENERO M, Poels G, PIATTINI M. Defining and validating metrics for assessing the understandability of entity-relationship diagrams. DATA & KNOWLEDGE ENGINEERING. 2008;64(3):534–57.
IEEE
[1]
M. GENERO, G. Poels, and M. PIATTINI, “Defining and validating metrics for assessing the understandability of entity-relationship diagrams,” DATA & KNOWLEDGE ENGINEERING, vol. 64, no. 3, pp. 534–557, 2008.
@article{418349,
  author       = {{GENERO, M and Poels, Geert and PIATTINI, M}},
  issn         = {{0169-023X}},
  journal      = {{DATA & KNOWLEDGE ENGINEERING}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{534--557}},
  title        = {{Defining and validating metrics for assessing the understandability of entity-relationship diagrams}},
  volume       = {{64}},
  year         = {{2008}},
}

Web of Science
Times cited: