Norman Fenton

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Norman Fenton
Norman cc.jpg
Fenton in 2016
Born1956 (age 67–68)
NationalityBritish
Alma mater
Scientific career
Fields
Institutions
Thesis Representation of matroids (1981)
Doctoral advisor Peter Vámos
Website www.normanfenton.com

Norman E. Fenton (born 1956) is a British mathematician and computer scientist. He is the Professor of Risk Information Management in the School of Electronic Engineering and Computer Science at Queen Mary University of London. He is known for his work in software metrics and is the author of the textbook Software Metrics: A Rigorous Approach, as of 2014 in its third edition.

Contents

Education

Fenton received his bachelor's degree in mathematics from the London School of Economics in 1978. He earned his Master of Science in 1978 and Doctor of Philosophy in 1981 at the University of Sheffield. [1] At Sheffield he was the second research student of Peter Vámos. [2] His doctoral thesis was "Representations of Matroids". [3]

Career

Fenton was a postdoctoral fellow in the mathematics department at University College Dublin from 1981 to 1982 and the Mathematics Institute of the University of Oxford from 1982 to 1984. [1] [2] At the end of that period he changed fields [2] and began publishing papers on structured programming with Robin W. Whitty and Agnes A. Kaposi. [4] [5] In 1984 he joined the department of Electrical and Electronic Engineering at South Bank Polytechnic in London where he headed the Centre for Software and Systems Engineering research group. [1] [2] He began to publish on software metrics as well as program structure. [6] [7] [8]

In 1989 Fenton moved to City University as a reader in software reliability, and became a professor of Computing Science in 1992. [1]

In 1998, Fenton, along with Martin Neil and Ed Tranham, set up the company Agena Ltd in Cambridge. Fenton was CEO between 1998 and 2015 and remains a director. In 2000, Fenton joined Queen Mary University of London (School of Electronic Engineering and Computer Science) where he works as a part-time professor. He is director of the Risk and Information Management Research Group. [9]

Selected publications

Textbooks
  • Fenton, Norman E.; Pfleeger, Shari Lawrence (1997). Software Metrics: A Rigorous and Practical Approach (2 ed.). International Thomson Computer Press. ISBN   978-0-534-95600-4. OCLC   1055171425.
  • Fenton, Norman; Bieman, James (1 October 2014). Software Metrics: A Rigorous and Practical Approach (3 ed.). Taylor & Francis. ISBN   978-1-4398-3822-8. OCLC   491888703.
Articles

Related Research Articles

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References

  1. 1 2 3 4 "Norman Fenton CV". Queen Mary University of London. Retrieved 21 December 2022.
  2. 1 2 3 4 Sharp, Rodney Y. (June 2022). "Peter Vámos, 1940–2020". Bulletin of the London Mathematical Society. 54 (3): 1145–1166. doi: 10.1112/blms.12689 . S2CID   250234702.
  3. ↑ "Publications: Dr Norman Fenton". Queen Mary University of London. Retrieved 21 December 2022.
  4. ↑ Whitty, R.W.; Fenton, N.E.; Kaposi, A.A. (1984). "Structured programming: a tutorial guide". Software & Microsystems. 3 (3): 54. doi:10.1049/sm.1984.0019.
  5. ↑ Fenton, N.E.; Whitty, R.W.; Kaposi, A.A. (1985). "A generalised mathematical theory of structured programming". Theoretical Computer Science. 36: 145–171. doi: 10.1016/0304-3975(85)90040-4 .
  6. ↑ Fenton, N. E.; Whitty, R. W. (1 April 1986). "Axiomatic approach to Software Metrication through Program Decomposition". The Computer Journal. 29 (4): 330–339. doi:10.1093/comjnl/29.4.330.
  7. ↑ Fenton, Norman E; Kaposi, Agnes A (July 1987). "Metrics and software structure". Information and Software Technology. 29 (6): 301–320. doi:10.1016/0950-5849(87)90029-2.
  8. ↑ Fenton, N. E.; Kaposi, A. A. (28 February 1989). "An Engineering Theory of Structure and Measurement". In B.A. Kitchenham; B. Littlewood (eds.). Measurement for Software Control and Assurance. Springer Science & Business Media. pp. 289–320. ISBN   978-1-85166-246-3. OCLC   18105742.
  9. ↑ "Risk and Information Management (RIM) research group". School of Electronic Engineering and Computer Science | Queen Mary, University of London. Archived from the original on 31 December 2017. Retrieved 9 February 2016.
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