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首页> 外文期刊>Arabian Journal for Science and Engineering. Section A, Sciences >Optimal Release Time Determination in Intuitionistic Fuzzy Environment Involving Randomized Cost Budget for SDE‑Based Software Reliability Growth Model
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Optimal Release Time Determination in Intuitionistic Fuzzy Environment Involving Randomized Cost Budget for SDE‑Based Software Reliability Growth Model

机译：基于SDE的软件可靠性增长模型中涉及随机成本预算的直觉模糊环境中的最优发布时间确定

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To enhance the accuracy of estimating the reliability of the software, it becomes essential to count upon the proportion offaults that are predominantly dormant due to fault masking. In addition to that, the software managers and developers primarilyaim at obtaining the date of product release by attaining a compromise between maximizing the reliability level andminimizing the product development cost. Keeping in mind the above requirements for reliability estimation, a stochasticdifferential equation-based software reliability growth model (SRGM) is developed for open-source software. Multi-releaseof the SRGM is formulated in detail taking into consideration the effect of bug classification. An innovative safe techniquecalled Rx is deployed which is capable of recovering programs from both deterministic and indeterministic bugs. The optimaldate of product release is obtained via a parabolic multi-objective chance-constrained nonlinear optimization problem in theparabolic intuitionistic fuzzy set environment. The optimization model framed to determine the time of product release iscritically analyzed from both optimistic and pessimistic viewpoints of the developer. The results manifest the better performanceof the model proposed in comparison with some preexisting SRGMs reported in the literature. Moreover, the exemplifiedmethodology corresponding to the attainment of the optimal date for product release is well established as it is trulycapable of taking into consideration, the level of tolerance of the developer pertaining to variations in both reliability and cost.
机译：为了提高估计软件可靠性的准确性，必须依靠由于故障掩盖而主要处于休眠状态的比例攻击。除此之外，软件经理和开发人员的主要目标是在最大程度地提高可靠性水平和最小化产品开发成本之间取得折衷，以获取产品发布日期。牢记以上对可靠性估计的要求，针对开源软件开发了基于随机微分方程的软件可靠性增长模型（SRGM）。考虑到错误分类的影响，详细制定了​​SRGM的多版本。部署了一种称为Rx的创新安全技术，该技术能够从确定性和不确定性错误中恢复程序。通过抛物型直觉模糊集环境中的抛物线型多目标机会约束非线性优化问题，获得产品发布的最优日期。从开发者的乐观和悲观角度严格分析了确定产品发布时间的优化模型。结果表明，与文献中已有的一些SRGM相比，该模型具有更好的性能。此外，由于确实能够考虑到显影剂的耐受性水平与可靠性和成本方面的变化有关，因此已经建立了与达到产品释放的最佳日期相对应的示例性方法。

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