Thong Ngee Goh

TL;DR: A new model, which is useful for modeling this type of failure rate function, is presented and can be seen as a generalization of the Weibull distribution.

TL;DR: In modeling the stochastic nature of reliability data, both the ARIMA and the recurrent neural network (RNN) models outperform the feed-forward model; in terms of lower predictive errors and higher percentage of correct reversal detection, however, both models perform better with short term forecasting.

TL;DR: A recent control scheme based on the cumulative quantity between observations of defects has been proposed which can be easily adopted to monitor the failure process for exponentially distributed inter-failure time and can detect process improvement even in a high-reliability environment.

TL;DR: In this paper, some strategic perspectives on the subject are presented, highlighting the potential and possible limitations of Six Sigma applications particularly in a knowledge-based environment, without delving into the mechanics of the subject in detail.

TL;DR: This paper proposes the project selection technique for ABE (PSABE) which reduces the whole project base into a small subset that consist only of representative projects and shows promising results that could significantly improve analogy based models for software cost estimation.