Software Reliability Assessment Based on Fuzzy Evaluation

2012 ◽  
Vol 268-270 ◽  
pp. 1877-1881
Author(s):  
Li Xin Liu ◽  
Qiu Ying Li

Software reliability assessment plays an important role in the software reliability engineering, but the traditional software assessment method mostly focuses on evaluation by use of failure data which is gained only after testing or usage in the late phase of the software life cycle. Thus people hope to get every stage’s information about the software’s reliability which is taken as the reference or accordance to guide the software’s design, analysis and testing and so on. The correlative factors of various products, processes and resources in the whole software life cycle have a very important effect on software reliability and, uncertainty exists in the software reliability evaluation to some extent. Fuzzy evaluation has a strong applicability for solving the fuzzy problem and an approach for software reliability qualitative evaluation based on fuzzy evaluation was proposed in this paper. Firstly the rationale and process of this method were described in detail, then a case study was implemented. The experimental results showed that the approach was feasible and effective.

2015 ◽  
Vol 2015 (3) ◽  
pp. 157-160
Author(s):  
Наталия Суханова ◽  
Nataliya Sukhanova ◽  
Юрий Соломенцев ◽  
Yuriy Solomentsev ◽  
Сергей Шептунов ◽  
...  

Software is complex and expensive product. As to the automation systems are applied the high wants, included reliability of software. To realize projects in the field of automation of technolo-gy processes it is necessary to construct the new software and to improve, adapt and transfer existing software. The field of investigations and trial of software reliability was not automated yet, the instrumental tools are absent, witch can allow to estimate reliability indexes at all stages of software life cycle. In the article it is developed the structure of automation system for soft-ware reliability monitoring.


2014 ◽  
Vol 670-671 ◽  
pp. 1477-1481
Author(s):  
Hao Nan Tong ◽  
Qiu Ying Li

Reliability assessment of Highly Reliable Software is significant in the software reliability engineering because of the small-size failure data. A novel model based on bootstrapping method and statistics of extremes for highly reliable software reliability assessment was presented. Correlation coefficient method was applied in order to determine the extreme distribution pattern to which the failure data belongs. The bootstrapping method based on residual error was used to estimate the parent distribution parameters. Software reliability and mean-time-to-failure (MTTF) at the end of reliability test were assessed. Experimental results show the model has a higher accuracy in the small-size sample situation. The validity of the proposed method is examined.


2012 ◽  
Vol 628 ◽  
pp. 372-379
Author(s):  
Wen Jin Zhang ◽  
Nan Lan

For problems, such as evaluation model selection is not appropriate and accuracy of the assessed value is low, exist in the reliability assessment of mechanical and electrical product, we propose a comprehensive reliability assessment process for mechanical and electrical products. In this paper, we discuss methods of reliability data collection and collation first. Then, criteria of preliminary screening for failure data are established. Furthermore, considering that life cycle of product is characterized by varied environment and varied population, it gives the method and steps for reliability assessment of produces. In addition, the process is used in the reliability assessment of products, and the calculation result illustrates that the process can be successfully applied to engineering practice. The process proposed in this paper provides a technical means for model selection in reliability assessment of mechanical and electrical product, and serves as the theoretical guidance for reliability validation and reliability design of product.


2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Zhang Xiaonan ◽  
Yang Junfeng ◽  
Du Siliang ◽  
Huang Shudong

As we all know, relevant data during software life cycle can be used to analyze and predict software reliability. Firstly, the major disadvantages of the current software reliability models are discussed. And then based on analyzing classic PSO-SVM model and the characteristics of software reliability prediction, some measures of the improved PSO-SVM model are proposed, and the improved model is established. Lastly, simulation results show that compared with classic models, the improved model has better prediction precision, better generalization ability, and lower dependence on the number of samples, which is more applicable for software reliability prediction.


2020 ◽  
Vol 251 ◽  
pp. 119786
Author(s):  
Jun-Gang Zhou ◽  
Ling-Ling Li ◽  
Ming-Lang Tseng ◽  
Guo-Qian Lin

Author(s):  
SHIHO HAYASHIDA ◽  
SHINJI INOUE ◽  
SHIGERU YAMADA

We discuss software hazard rate modeling with a change of testing-environment and a software reliability assessment method based on the proposed software hazard rate models. A software hazard rate model is known as one of the important and useful mathematical models for describing the software failure-occurrence phenomenon and conducting quantitative software reliability assessment. Taking into consideration of the effect of the change in software reliability growth modeling is expected to conduct more accurate software reliability assessment because it is said that such approach enables us to conduct more plausible software reliability assessment reflecting the actual testing-environment. Especially in this paper, we develop exponential-type software hazard rate models with effect of change-point and a software reliability assessment method based on our models. Finally, we show numerical examples for our models and results of model comparisons with existing software hazard rate models by using actual data.


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