Quality Assurance Practices in Continuous Delivery - an implementation in Big Data Domain

Anish Cheriyan, R. Gondkar, T. Gopal, Suresh Babu S
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引用次数: 1

Abstract

This paper provides the details about the Quality Assurance practices and techniques to be followed by the QA professional (also called SQA-Software Quality Assurance) in continuous delivery mode of software development. QA professionals are responsible for the process definition, audit, training and other assurance activites in the project. The paper provides a QA model named 'ACID-QA' model which comprises of key practices which can be used by the QA professional in continuous delivery mode of software development. The objective of the 'ACID-QA' model is to provide a working model for the SQA which can be used during the planning, requirement, design, coding, testing, continuous integration, audit and release activities of the project. The paper provides an overview of each of the practice areas of the model in the further sections. This model is implemented in Big Data Hadoop File system and Map Reduce and it is found that the product quality issues found by SQA Professionals are improved by 100%. The audit findings are further detailed down in the paper.
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持续交付中的质量保证实践——在大数据领域的实现
本文提供了在软件开发的持续交付模式中QA专业人员(也称为sqa -软件质量保证)应遵循的质量保证实践和技术的细节。QA专业人员负责项目中的过程定义、审核、培训和其他保证活动。本文提供了一个名为“ACID-QA”的QA模型,该模型包含了QA专业人员在软件开发的持续交付模式中可以使用的关键实践。“ACID-QA”模型的目标是为SQA提供一个可用于项目的计划、需求、设计、编码、测试、持续集成、审核和发布活动的工作模型。本文在后面的部分中提供了该模型的每个实践领域的概述。该模型在大数据Hadoop File system和Map Reduce中实现,发现SQA专业人员发现的产品质量问题提高了100%。审计结果在文件中作了进一步的详细说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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