基于测试域覆盖效率的软件可靠性和最优发布策略建模与分析

S. Chatterjee, Bhagyashree Chaudhuri, C. Bhar, Ankur Shukla
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引用次数: 2

摘要

为了验证功能是否已经正确地实现到软件中,开发人员参与了开发一组测试用例的任务,从而影响软件中存在的功能和模块集,以便开发人员可以根据实现功能中的缺陷进行判断。这些测试用例影响的功能集组成了通常所说的测试域,并且测试域的增长速度容易受到测试过程进展的影响。测试域的增长速度与软件的故障内容的增长速度是密切相关的,即随着测试域的扩展,更多的现有故障被检测出来并被移除,从而导致软件故障内容的减少。此外,软件开发人员被赋予了确定软件进入市场的适当发布时间的任务,以使成本最小化,并在交易中使可靠性最大化。为了应对不断增长的软件故障,本文提出了基于测试域的软件可靠性增长模型(SRGM),该模型考虑了测试域覆盖效率和故障去除效率。该模型基于非齐次泊松过程(NHPP),并通过对早期实际软件开发过程中观测到的故障数据进行测试,验证了其有效性。通过对软件最优发布时间的说明,对模型进行了拟合优度比较,证明所建立的模型在可靠性度量能力上优于现有的一些模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and analysis of reliability and optimal release policy of software with testing domain coverage efficiency
In order to verify whether the functions have been rightly implemented into the software, the developer is involved with the task of developing a set of test cases thereby influencing the set of functions and modules present in the software so that the developer can judge upon the defects laid into the implemented functions. The set of functions which these test cases influence comprises what in common terms is known as testing domain and that the rate of increase of the testing domain is vulnerable to the progress in testing process. The growth rate of the testing domain goes hand in hand with the fault content of the software, that is to say, as the testing domain spreads more number of existing faults are detected and subjected to removal, thereby causing the software fault content to decrease. Further the software developer is endowed with the task of determining the appropriate releasing time of the software into the market such that the cost is minimized and the reliability is maximized in the bargain. In order to counter effect the growing software fault content, this paper includes a testing domain dependent software reliability growth model (SRGM) incorporating the ideas of testing domain coverage efficiency as also the fault removal efficiency. The model so framed is based on Non-Homogenous Poisson Process (NHPP) and its validity has been verified by testing on fault data observed in earlier actual software development process. Along with illustration to the optimal time of software release the model has been subjected to goodness of fit comparison justifying that the developed model outperforms some of the existing ones in its capability of measuring the reliability.
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