Quantitative Validation of Poka-Yoke Approach for HQLS Using Regression Coefficient and Analysis of Variance

As the requirement of the user increases, complexity in the development of software is also increases. It is a great challenge in software engineering to understand, measure, manage, control, and even to low the software complexity and also increases quality. To improve performance of software, web sites and services is a holy grail of software industry. A new approach for implementation of Poka-Yoke method in software performance engineering is proposed. Poka-Yoke is a mistake proofing technique used in product design. In previous work, proposed a new framework for High Quality in Large Scale (HQLS) software development. Now, in this paper, quantitatively validating the Poka-Yoke approach for a product called Personal Secretary (PS). The quantitative of PS was evaluated using Regression Coefficients and Analysis of Variance (ANOVA). Regression analysis showed that Poka-Yoke has a greater impact on software quality that uses the current state of the art software development models. Improved UGAM scores also showed linearity and justified Poka-Yoke implementation. Our findings recommend usage of techniques for mistake proofing for overall software performance. The aim is to reduce errors in the software development process.