Optimize defect detection techniques through empirical software engineering method

H. T. Sun
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引用次数: 4

Abstract

This paper introduces twelve defect detection techniques and describes a non-controlled experiment related to defect detection techniques to address the uncertainty of how to test an embedded software and find defects effectively. In this non-controlled experiment, three common testing techniques were applied to a large scale embedded system. This study is intended to evaluate different defect detection techniques that are actually used by software engineers using empirical software engineering method. The objective of empirical software engineering is to improve the software development processes and quality. This could be done by evaluating, comparing and controlling defect detection methods. This study is also intended to find a best method to reduce defects and increase the defect detection rate in a large scale embedded system, since defect detection is considered as one of the most costly development process in software development cycle
通过经验软件工程方法优化缺陷检测技术
本文介绍了12种缺陷检测技术,并描述了一个与缺陷检测技术相关的非控制实验,以解决如何有效地测试嵌入式软件并发现缺陷的不确定性。在这个非对照实验中,三种常用的测试技术应用于一个大型嵌入式系统。本研究旨在评估软件工程师使用经验软件工程方法实际使用的不同缺陷检测技术。经验软件工程的目标是改进软件开发过程和质量。这可以通过评估、比较和控制缺陷检测方法来实现。在大规模嵌入式系统中,缺陷检测被认为是软件开发周期中成本最高的开发过程之一,因此本研究旨在寻找一种减少缺陷和提高缺陷检出率的最佳方法
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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