Forecasting the Budget Required for Software under Development

Vikas Rattan, Poonam Panwar, R. Mittal, Jaiteg Singh, Varun Malik
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引用次数: 1

Abstract

Approximating the budget of software is continuously vital problem for the software analysts to agree on the development of a project. Diverse methods for estimating the budget of software are used in literature based on the preferred reliability level as per client’s demand. Based on the literature a close correlation is found between software budget and its reliability. Hence, the architectural design of software is studied here using Discrete Time Markovian Chain (DTMC) for approximating its reliability and its association with software budget. Primarily, a conventional cost model known as generalized software cost model is used for evaluation of the software budget for eleven datasets obtained from literature. The proposed methodology is afterward used for approximation of the software budget and its overall reliability. The proposed methodology is then used to solve single objective problems of minimizing cost of software keeping reliability as constraint and maximizing reliability by keeping cost as constraint. At final, the proposed approach is used to analyse the software cost and reliability trade-off to provide best multi-objective solution to software clients.
预测软件开发所需的预算
接近软件预算一直是软件分析人员就项目开发达成一致的关键问题。文献中根据客户需求的首选可靠性水平,使用了多种估算软件预算的方法。在文献分析的基础上,发现软件预算与其可靠性之间存在密切的相关关系。因此,本文使用离散时间马尔可夫链(DTMC)来近似其可靠性及其与软件预算的关联,研究软件的体系结构设计。首先,使用一种称为广义软件成本模型的传统成本模型来评估从文献中获得的11个数据集的软件预算。提出的方法随后用于估算软件预算及其总体可靠性。然后,将该方法用于解决以保持可靠性为约束的软件成本最小化和以保持成本为约束的可靠性最大化的单目标问题。最后,利用该方法对软件成本和可靠性权衡进行分析,为软件客户提供最佳的多目标解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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