Techniques for Quantitative Analysis of Software Quality throughout the SDLC: The SWEBOK Guide Coverage

Abstract

This paper presents an overview of quantitative analysis techniques for software quality and their applicability during the software development life cycle (SDLC). This includes the Seven Basic Tools of Quality, Statistical Process Control, and Six Sigma, and it highlights how these techniques can be used for managing and controlling the quality of software during specification, design, implementation, testing, and maintenance. We verify whether or not these techniques, which are generally accepted for most projects, most of the time, and have value that is recognized by the peer community, have indeed been included in the SWEBOK Guide.

Testability as a Measure for Improving Software Quality in System Analysis and Design

“…The proposed methods can be used to manage and control the quality of software during SDLC. However, the relevant statistical technique was required to identify testability and reliability [8] The quality factors and its quality criteria were compiled along with its description in popularity order based on four quality models. A model is a group of factors, and every factor is a collection of various criteria.…”