Resource Allocation Modeling Framework to Refactor Software Design Smells

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
Priyanka Gupta, Adarsh Anand, M. Mellal
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引用次数: 0

Abstract

The domain to study design flaws in the software environment has created enough opportunity for the researchers. These design flaws i.e., code smells, were seen hindering the quality aspects of the software in many ways. Once detected, the segment of the software which was found to be infected with such a flaw has to be passed through some refactoring steps in order to remove it. To know about their working phenomenon in a better way, authors have innovatively talked about the smell detection mechanism using the NHPP modeling framework. Further the authors have also chosen to investigate about the amount of resources/efforts which should be allotted to various code smell categories. The authors have developed an optimization problem for the said purpose which is being validated on the real-life smell data set belonging to an open-source software system. The obtained results are in acceptable range and are justifying the applicability of the model.
重构软件设计嗅觉的资源分配建模框架
研究软件环境中设计缺陷的领域为研究人员创造了足够的机会。这些设计缺陷,即代码气味,在许多方面阻碍了软件的质量。一旦被检测到,软件中被发现感染了这种缺陷的部分必须经过一些重构步骤才能去除。为了更好地了解它们的工作现象,作者创新性地讨论了使用NHPP建模框架的气味检测机制。此外,作者还选择调查应该分配给各种代码气味类别的资源/工作量。作者为此开发了一个优化问题,该问题正在属于开源软件系统的真实气味数据集上进行验证。所获得的结果在可接受的范围内,证明了该模型的适用性。
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来源期刊
CiteScore
3.80
自引率
6.20%
发文量
57
审稿时长
20 weeks
期刊介绍: IJMEMS is a peer reviewed international journal aiming on both the theoretical and practical aspects of mathematical, engineering and management sciences. The original, not-previously published, research manuscripts on topics such as the following (but not limited to) will be considered for publication: *Mathematical Sciences- applied mathematics and allied fields, operations research, mathematical statistics. *Engineering Sciences- computer science engineering, mechanical engineering, information technology engineering, civil engineering, aeronautical engineering, industrial engineering, systems engineering, reliability engineering, production engineering. *Management Sciences- engineering management, risk management, business models, supply chain management.
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