Negative Improvements, Relative Validity and Elusive Goodness
- Title
- Negative Improvements, Relative Validity and Elusive Goodness
- Author
- 김찬형
- Keywords
- Software; Physics; Unified modeling language; Data models; Monte Carlo methods; Detectors; Analytical models
- Issue Date
- 2013-10
- Publisher
- IEEE
- Citation
- 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC), 2013, P.1-6
- Abstract
- 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.
- URI
- http://ieeexplore.ieee.org/document/6829501/https://repository.hanyang.ac.kr/handle/20.500.11754/73179
- ISBN
- 978-1-4799-0534-8; 978-1-4799-0533-1; 978-1-4799-3423-2
- ISSN
- 1082-3654
- DOI
- 10.1109/NSSMIC.2013.6829501
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > NUCLEAR ENGINEERING(원자력공학과) > Articles
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