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An Empirical Study of Software Metrics.

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  • Additional Information
    • Author-Supplied Keywords:
      cross correlation
      empirical study
      Halstead's software science
      hybrid metrics
      Index Terms-Control complexity
      software metric
    • Abstract:
      Software metrics are computed for the purpose of evaluating certain characteristics of the software developed. A Fortran static source code analyzer, FORTRANAL, was developed to study 31 metrics, including a new hybrid metric introduced in this paper, and, applied to a database of 255 programs, all of which were student assignments. Comparisons among these metrics are performed. Their cross- correlation confirms the internal consistency of some of these metrics which belong to the same class. To remedy the incompleteness of most of these metrics, the proposed metric incorporates context sensitivity to structural attributes extracted from a flow graph. It is also concluded that many volume metrics have similar performance while some control metrics surprisingly correlate well with typical volume metrics in the test samples used. A flexible class of hybrid metric can incorporate both volume and control attributes in assessing software complexity. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of IEEE Transactions on Software Engineering is the property of IEEE Computer Society and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
    • Author Affiliations:
      1Department of Computer Science, Montreal, P.Q. H3G 1M8, Canada
      2Department of Electrical Engineering, University of Hong Kong, Hong Kong
    • ISSN:
      0098-5589
    • Accession Number:
      14332348
  • Citations
    • ABNT:
      LI, H. F.; CHEUNG, W. K. An Empirical Study of Software Metrics. IEEE Transactions on Software Engineering, [s. l.], v. 13, n. 6, p. 697–708, 1987. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=a9h&AN=14332348. Acesso em: 29 set. 2020.
    • AMA:
      Li HF, Cheung WK. An Empirical Study of Software Metrics. IEEE Transactions on Software Engineering. 1987;13(6):697-708. Accessed September 29, 2020. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=a9h&AN=14332348
    • APA:
      Li, H. F., & Cheung, W. K. (1987). An Empirical Study of Software Metrics. IEEE Transactions on Software Engineering, 13(6), 697–708.
    • Chicago/Turabian: Author-Date:
      Li, H. F., and W. K. Cheung. 1987. “An Empirical Study of Software Metrics.” IEEE Transactions on Software Engineering 13 (6): 697–708. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=a9h&AN=14332348.
    • Harvard:
      Li, H. F. and Cheung, W. K. (1987) ‘An Empirical Study of Software Metrics’, IEEE Transactions on Software Engineering, 13(6), pp. 697–708. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=a9h&AN=14332348 (Accessed: 29 September 2020).
    • Harvard: Australian:
      Li, HF & Cheung, WK 1987, ‘An Empirical Study of Software Metrics’, IEEE Transactions on Software Engineering, vol. 13, no. 6, pp. 697–708, viewed 29 September 2020, .
    • MLA:
      Li, H. F., and W. K. Cheung. “An Empirical Study of Software Metrics.” IEEE Transactions on Software Engineering, vol. 13, no. 6, June 1987, pp. 697–708. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=a9h&AN=14332348.
    • Chicago/Turabian: Humanities:
      Li, H. F., and W. K. Cheung. “An Empirical Study of Software Metrics.” IEEE Transactions on Software Engineering 13, no. 6 (June 1987): 697–708. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=a9h&AN=14332348.
    • Vancouver/ICMJE:
      Li HF, Cheung WK. An Empirical Study of Software Metrics. IEEE Transactions on Software Engineering [Internet]. 1987 Jun [cited 2020 Sep 29];13(6):697–708. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=a9h&AN=14332348