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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 Publicized: 2018/04/05 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, Full Text: PDF(280.5KB)>>
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. | ||||||||||
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