考虑不完全调试的软件发布时间优化方法选择

Shubhra Gautam, Deepak Kumar, L. Patnaik
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引用次数: 3

摘要

对高可靠性软件系统的需求导致了对软件的严格测试。软件开发成本的主要部分分配给测试阶段。最佳发布时间预测是目前软件开发人员面临的最大挑战。在文献中已经提出了许多模型,并对软件发布时间的评估进行了大量的研究。文献中关于软件发布时间问题确定的工作主要集中在清晰优化问题和模糊优化问题上。本文用神经网络讨论了放行时间问题。提出了以成本最大化和可靠性为约束的模糊放行时间问题。采用神经网络方法对问题进行了求解,并将优化结果与模糊优化结果进行了比较。并在实时数据集上进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection of Optimal Method of Software Release Time Incorporating Imperfect Debugging
The demand of highly reliable software systems has resulted in rigorous testing of the software. A major part of the software development cost is assigned to the testing phase. The optimal release time prediction is the biggest challenge for software developers these days. In the literature a number of models have been proposed and lot of study is done towards assessment of software release time. The work carried out in the literature for determination of Software release time problem focuses on the crisp optimization problem and fuzzy optimization problem. This paper discusses the release time problem using neural network. A Fuzzy release time problem is formulated considering maximization of cost and reliability taken as a constraint. The problem is solved with neural network approach and the results are compared with crisp and fuzzy optimized results. The result is also validated on real time data set.
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