Implementing Adaptive Decisions in Stochastic Simulations via AOP

Pilsung KANG  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E101-D   No.7   pp.1950-1953
Publication Date: 2018/07/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2018EDL8044
Type of Manuscript: LETTER
Category: Software Engineering
Keyword: 
adaptive programming,  aspect-oriented programming,  scientific computing,  software adaptation,  

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Summary: 
We present a modular way of implementing adaptive decisions in performing scientific simulations. The proposed method employs modern software engineering mechanisms to allow for better software management in scientific computing, where software adaptation has often been implemented manually by the programmer or by using in-house tools, which complicates software management over time. By applying the aspect-oriented programming (AOP) paradigm, we consider software adaptation as a separate concern and, using popular AOP constructs, implement adaptive decision separately from the original code base, thereby improving software management. We demonstrate the effectiveness of our approach with applications to stochastic simulation software.