SOM-FTS: A Hybrid Model for Software Reliability Prediction and MCDM-Based Evaluation

IF 1.3 Q3 ENGINEERING, MULTIDISCIPLINARY
Ajay Mahaputra Kumar, Kamaldeep Kaur
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引用次数: 3

Abstract

The objective of this study is to propose a hybrid model based on self-organized maps (SOM) and fuzzy time series (FTS) for predicting the reliability of software systems. The proposed SOM-FTS model is compared with eleven traditional machine learning-based models. The problem of selecting a suitable software reliability prediction model is represented as a multi-criteria decision-making (MCDM) problem. Twelve software reliability prediction models, including the proposed SOM-FTS model, are evaluated using three MCDM methods, four performance measures, and three software failure datasets. The results show that the proposed SOM-FTS model is the most suitable model among the twelve software reliability prediction models on the basis of MCDM ranking.
SOM-FTS:软件可靠性预测与mcdm评估的混合模型
本研究的目的是提出一种基于自组织映射(SOM)和模糊时间序列(FTS)的混合模型来预测软件系统的可靠性。将所提出的SOM-FTS模型与11种传统的基于机器学习的模型进行了比较。选择合适的软件可靠性预测模型是一个多准则决策(MCDM)问题。采用三种MCDM方法、四种性能指标和三种软件故障数据集对包括SOM-FTS模型在内的12个软件可靠性预测模型进行了评估。结果表明,基于MCDM排序的SOM-FTS模型是12个软件可靠性预测模型中最合适的模型。
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来源期刊
CiteScore
2.80
自引率
0.00%
发文量
18
审稿时长
12 weeks
期刊介绍: The IJETI journal focus on the field of engineering and technology Innovation. And it publishes original papers including but not limited to the following fields: Automation Engineering Civil Engineering Control Engineering Electric Engineering Electronic Engineering Green Technology Information Engineering Mechanical Engineering Material Engineering Mechatronics and Robotics Engineering Nanotechnology Optic Engineering Sport Science and Technology Innovation Management Other Engineering and Technology Related Topics.
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