.png){kind=icon}
返回
Stochastic debugging based reliability growth models for Open Source Software project
.png){kind=icon}
PRE
AI
DOI：10.1007/s10479-023-05240-6.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Open Source Software (OSS) is one of the most trusted technologies for implementing industry 4.0 solutions. The study aims to assist a community of OSS developers in quantifying the product's reliability. This research proposes reliability growth models for OSS by incorporating dynamicity in the debugging process. For this, stochastic differential equation-based analytical models are developed to represent the instantaneous rate of error generation. The fault introduction rate is modeled using exponential and Erlang distribution functions. The empirical applications of the proposed methodology are verified using the real-life failure data of the Open Source Software projects, GNU Network Object Model Environment, and Eclipse. A soft computing technique, Genetic Algorithm, is applied to estimate model parameters. Cross-validation is also performed to examine the forecasting efficacy of the model. The predictive power of the developed models is compared with various benchmark studies. The data analysis is conducted using the R statistical computing software. The results demonstrate the proposed models' efficacy in parameter estimation and predictive performance. In addition, the optimal release time policy based on the proposed mathematical models is presented by formulating the optimization model that intends to minimize the total cost of software development under reliability constraints. The numerical illustration and sensitivity analysis exhibit the proposed problem's practical significance. The findings of the numerical analysis exemplify the proposed study's capability of decision-making under uncertainty.
Keyword:
Software reliability growth models
Imperfect debugging
S-shaped bug introduction rate
Genetic algorithm
Open Source Software
Uncertainty
期刊
IF:
4.5
论文数:
8.0K
被引数:
2.1W
机构
引用论文
THE SPIN-OFF EFFECTIVENESS OF SHARIA INSURANCE IN INDONESIA: ANALYZING THE EFFICIENCY AND THE CRITERIA印尼伊斯兰保险的衍生效应有效性：分析效率与标准
OAAI
OAAI分享收藏分享收藏分享收藏Herpes Simplex Virus Type 2, Genital Ulcers and HIV-1 Disease Progression in Postpartum Women单纯疱疹病毒2型、生殖器溃疡及HIV-1疾病进展在产后妇女中的关系.png)
PLoS ONE
OAAI
PLoS ONEIF0
OAAI分享收藏
查看更多内容