Abstract
The demand for distributed and complex business applications in the enterprise requires error-free and high-quality application systems. Unfortunately, most of the developed software contains certain defects which cause failure of a system. Such failures are unacceptable for the development in the critical or sensitive applications. This makes the development of high quality and defect free software extremely important in software development. It is important to better understand and compute the association among software defects and its failures for the effective prediction and elimination of these defects to decline the failure and improve software quality. This paper presents a review of software defects prediction and its prevention approaches for the quality software development. It also focuses a review on the potential and constraints of those mechanisms in quality product development and maintenance.
Highlights
The software is a single entity that has a strong impact on all characteristics of software development for different domains that includes defense, medicine, science, transport, telecommunications and others
The scope of this paper is to present an insightful exploration of the mechanisms of defect detection and defect prevention approaches that can be pursued for the quality system development processes
This paper presented review of the importance of defect prediction and their various approaches
Summary
The software is a single entity that has a strong impact on all characteristics of software development for different domains that includes defense, medicine, science, transport, telecommunications and others. It very important to have appropriate approaches to develop high-quality software that can meet the increasing needs in today's business world's. A single error can result in one or more failures, and multiple failures can cause a failure To avoid such failures in software products, defect detection activities are performed at each stage of the SDLC, depending on the needs and criticalities of the development. By analyzing the general classified defects taxonomy and past errors it can be better prevented and reliable high performing systems can be developed [11]. The scope of this paper is to present an insightful exploration of the mechanisms of defect detection and defect prevention approaches that can be pursued for the quality system development processes.
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