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The process of QA & software testing goes beyond quickly finding and correcting the mistakes and errors embedded within the programs. It’s all about putting into practice a comprehensive Wr process, which can be refined systematically, year against year. Quality assurance (QA) practices are essential requirements necessary to ensure that the final product to be used by a client is of high quality and devoid of many faults. But occurs to ask which quality assurance processes are effective? The answer is simple—metrics should track and analyze essential data. In this article I will outline the metrics you should be most concerned with for monitoring the efficacy of your software testing and QA programs. 1. Defect Density Defect density determines the extent of defects in a given module or unit of software in proportion to the size, the most common of which is in terms of defects per thousand lines of code (KLOC). It enables one to track down parts of the code base that needs enhance...

  Especially in the modern high-tech world, when speed is important, having high-performing and secure software, much depends on the quality assurance of QA. QA & software testing guarantee that every part of the entire program is functional, performs optimally, and is adequately secured so that end-users have reasons to enjoy it. The effective QA plan enables one to spot the problem in particular stages of software development and thereby provides higher-quality and reliable product. Regardless of the process you are following either lean agile or structured software development life cycle, it is possible to improve the efficacy of QA activity by following certain golden rules. Here are the details of the ten effective QA software testing best practices: 1. Develop a Comprehensive Test Plan A quality test plan is a roadmap to efficient and effective QA and software testing undertaking across any project. This document should specify goals and scope of testing, resources to be...