Negative improvements, relative validity and elusive goodness

  • Batič, Matej
  • Hoff, Gabriela
  • Kim, Chan Hyeong
  • Kim, Sung-Hun
  • Pia, Maria Grazia
  • 외 2명
Citations

SCOPUS

0

초록

Various issues related to the complexity of appraising the capabilities of physics models implemented in Monte Carlo simulation codes and the evolution of the functional quality the associated software are considered, such as the dependence on the experimental environment where the software operates and its sensitivity to detector characteristics. The concept of software validity as relative to the environment is illustrated by means of a real-life experimental test case. Methods and techniques to mitigate the risk of deteriorating the quality of the software are critically discussed: they concern various disciplines of the software development process. Quantitative validation of physics models is advocated as a method to appraise their capabilities objectively and to monitor the evolution of their associated software behavior.

키워드

Medical imagingMonte Carlo methodsNuclear physicsSoftware engineeringAssociated softwaresExperimental environmentExperimental testMonte- carlo simulationsPhysics modelsQuantitative validationSoftware development processSoftware validitiesSoftware testing
제목
Negative improvements, relative validity and elusive goodness
저자
Batič, MatejHoff, GabrielaKim, Chan HyeongKim, Sung-HunPia, Maria GraziaSaracco, P.Weidenspointner, G.
DOI
10.1109/NSSMIC.2013.6829501
발행일
2013-11
유형
Conference Paper
저널명
IEEE Nuclear Science Symposium Conference Record
페이지
1 ~ 6

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