Burr Type III Software Reliability Growth Model
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Summary
This paper proposes Burr type III software reliability growth model based on Non Homogeneous Poisson Process (NHPP) with time domain data with Maximum Likelihood (ML) estimation method for finding unknown parameters in the model on ungrouped data.
- Type
- dataset
- Published
- 2015-03-16
- Cited by
- 6
- References
- 13
- Access
- Open access
- OpenAlex
- https://openalex.org/W2185475129
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:61733823
Keywords
Software quality, Reliability (semiconductor), Goodness of fit, Reliability engineering, Computer science
References
- Enhance Rule Based Detection for Software Fault Prone Modules
- Handbook of reliability engineering
- Software Reliability: Measurement, Prediction, Application
- Predicting Software Reliability
- Time-Dependent Error-Detection Rate Model for Software Reliability and Other Performance Measures
- Some effective control chart procedures for reliability monitoring
- Cumulative Frequency Functions
- A Look at the Burr and Related Distributioni
- Software Reliability Growth Modeling with New Modified Weibull Testing-effort and Optimal Release Policy
- Half logistic software reliability growth model
- Successful Product-based Agile Software Development without Onsite Customer: An Industrial Case Study
- A Generalized Logistic Software Reliability Growth Model
Cited by
- Software Reliability Using SPRT: Burr Type III Process Model
- A Comprehensive Evaluation for Burr-Type NHPP-based Software Reliability Models
- An Analogy of Burr Type III and Pareto Type II using SPRT
- Software Reliability Using SPRT: Burr Type III Process Model
- Burr Type III Process Model with SPRT for Software Reliability
- Burr Type III Software Reliability Assessment Using SPC-An Order Statistics Approach
- ASSESSING BURR TYPE III SOFTWARE QUALITY USING SPC
- Monitoring Burr Type III Software Quality Using SPC
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