Instances and classes in software engineering

Article Properties
  • Language
    English
  • Publication Date
    1999/07/01
  • Journal
  • Indian UGC (journal)
  • Citations
    1
  • Christopher A. Welty Vassar College, Poughkeepsie, NY
  • David A. Ferrucci IBM Watson Research Center, Yorktown Heights, NY
Cite
Welty, Christopher A., and David A. Ferrucci. “Instances and Classes in Software Engineering”. Intelligence, vol. 10, no. 2, 1999, pp. 24-28, https://doi.org/10.1145/309697.309705.
Welty, C. A., & Ferrucci, D. A. (1999). Instances and classes in software engineering. Intelligence, 10(2), 24-28. https://doi.org/10.1145/309697.309705
Welty, Christopher A., and David A. Ferrucci. “Instances and Classes in Software Engineering”. Intelligence 10, no. 2 (1999): 24-28. https://doi.org/10.1145/309697.309705.
Welty CA, Ferrucci DA. Instances and classes in software engineering. intelligence. 1999;10(2):24-8.
Citations
Title Journal Journal Categories Citations Publication Date
LOT: An industrial oriented ontology engineering framework Engineering Applications of Artificial Intelligence
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
17 2022
Citations Analysis
The category Technology: Mechanical engineering and machinery 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled LOT: An industrial oriented ontology engineering framework and was published in 2022. The most recent citation comes from a 2022 study titled LOT: An industrial oriented ontology engineering framework. This article reached its peak citation in 2022, with 1 citations. It has been cited in 1 different journals. Among related journals, the Engineering Applications of Artificial Intelligence cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year