The amalgamation of technologies in the information technology sector resulted in unprecedented growth in software reliability modelling in the past four decades. Over the period much attention has been given on developing a fault detection model and then considering fault correction as debugging processes as a complex process in which a detected fault may not immediately be corrected because of manipulation delays and some uncertainties. To overcome these issues academician and industrialists both are working hand in hand to find out the optimal software launch time by minimizing overall testing cost. Through this work, we have developed a unified framework for developing testing effort-based software reliability growth models to optimize the launch time of the software by minimizing the total cost incurred during the software lifecycle and considering fault detection and correction separately. Further, we have used multi-attribute utility theory by considering four attributes viz. cost, the ratio of detected and corrected faults, the ratio of the corrected and total number of faults, total effort utilized to establish the optimum software launch time. The recommended model is authenticated on a real-life software failure data set.

中文翻译：

---

基于工作量的软件发布时间，用于使用MAUT进行检测和纠正过程

过去四十年中，信息技术领域的技术融合导致软件可靠性建模得到空前的增长。在此期间，人们一直非常关注开发故障检测模型，然后将故障校正作为调试过程视为一个复杂的过程，在该过程中，由于操作延迟和某些不确定性，可能无法立即对检测到的故障进行校正。为了克服这些问题，院士和工业家们正在携手努力，通过最大程度地降低总体测试成本来找出最佳的软件启动时间。通过这项工作，我们开发了一个统一的框架，用于开发基于测试工作量的软件可靠性增长模型，以通过最大程度地减少软件生命周期中产生的总成本并分别考虑故障检测和纠正来优化软件的启动时间。此外，我们通过考虑四个属性，即多属性效用理论。成本，检测到的和已纠正的故障的比例，已纠正的故障与总故障数的比例，用于确定最佳软件启动时间的总工作量。推荐的模型在真实的软件故障数据集上进行了身份验证。校正后的故障与总故障数之比，用于确定最佳软件启动时间的总工作量。推荐的模型在真实的软件故障数据集上进行了身份验证。校正后的故障与总故障数之比，用于确定最佳软件启动时间的总工作量。推荐的模型在真实的软件故障数据集上进行了身份验证。