计算机科学
可靠性工程
功能(生物学)
软件可靠性测试
软件质量
集合(抽象数据类型)
软件
可靠性(半导体)
过程(计算)
软件性能测试
调试
软件开发
工程类
软件建设
操作系统
生物
物理
功率(物理)
进化生物学
程序设计语言
量子力学
作者
Vishal Pradhan,Ajay Kumar,Joydip Dhar
标识
DOI:10.1080/09720502.2021.2006329
摘要
The software project manager must plan and conduct testing activities economically and efficiently. Due to the constraints, such as limited testing resources, delivery time, and cost, it isn’t easy to conclude. The software reliability growth models (SRGMs) based on testing-effort, help the project manager in the decision process. Therefore, we reckon the testing effort function (TEF) during model formulation. This paper introduces a new model for estimating the growth of software reliability. This model incorporates generalized inflection S-shaped (GISS) distribution for TEF. Here, the TEF is involved as a time-dependent failure rate function. Besides, the developed model is in perfect debugging environment. Here, we estimate the values of the unknown parameters by the least square estimation (LSE). All the performance measures are calculated using real software failure data-set and comparisons made between the proposed model and the existing models. It is noted that the performance of the proposed model prediction for the total number of faults is more trustworthy.
科研通智能强力驱动
Strongly Powered by AbleSci AI