Embedded Software Reliability Prediction Based on Software Life Cycle

2019 ◽  
Author(s):  
Ting Dong ◽  
Hui Shi ◽  
Yajie Zhu ◽  
Kai Li ◽  
Fengping Chai ◽  
...  
Keyword(s):  
Life Cycle ◽  
Software Reliability ◽  
Embedded Software ◽  
Reliability Prediction ◽  
Software Life Cycle ◽  
Software Reliability Prediction

scholarly journals A New Method on Software Reliability Prediction

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Zhang Xiaonan ◽  
Yang Junfeng ◽  
Du Siliang ◽  
Huang Shudong
Keyword(s):  
Life Cycle ◽  
Software Reliability ◽  
Reliability Prediction ◽  
Software Life Cycle ◽  
Reliability Models ◽  
Software Reliability Models ◽  
Svm Model ◽  
Software Reliability Prediction ◽  
Simulation Results ◽  
Improved Model

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.

A hierarchical mixture model for software reliability prediction

2007 ◽  
Vol 185 (2) ◽  
pp. 1120-1130 ◽  
Author(s):  
Shaoming Li ◽  
Qian Yin ◽  
Ping Guo ◽  
Michael R. Lyu
Keyword(s):  
Mixture Model ◽  
Software Reliability ◽  
Reliability Prediction ◽  
Software Reliability Prediction

Application of Machine Learning Techniques for Software Reliability Prediction (SRP)

2017 ◽  
pp. 113-142
Author(s):  
Pradeep Kumar
Keyword(s):  
Software Engineering ◽  
Software Reliability ◽  
Machine Learning Techniques ◽  
Reliability Prediction ◽  
Engineering Research ◽  
Reliability Models ◽  
Software Products ◽  
Software Reliability Prediction ◽  
Software Release ◽  
Software Engineering Research

Software reliability is a statistical measure of how well software operates with respect to its requirements. There are two related software engineering research issues about reliability requirements. The first issue is achieving the necessary reliability, i.e., choosing and employing appropriate software engineering techniques in system design and implementation. The second issue is the assessment of reliability as a method of assurance that precedes system deployment. In past few years, various software reliability models have been introduced. These models have been developed in response to the need of software engineers, system engineers and managers to quantify the concept of software reliability. This chapter on software reliability prediction using ANNs addresses three main issues: (1) analyze, manage, and improve the reliability of software products; (2) satisfy the customer needs for competitive price, on time delivery, and reliable software product; (3) determine the software release instance that is, when the software is good enough to release to the customer.

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