全球软件开发的文档质量检查工具

Kohtaroh Miyamoto, Takashi Nerome, Taiga Nakamura
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引用次数: 6

摘要

软件开发项目经常利用全球资源来降低成本。通常涉及大量非结构化的办公文档。不幸的是,在许多情况下,由于各种与位置相关的障碍(例如时区、语言和文化)而导致的非结构化文档的低质量会对项目的结果产生负面影响。已经引入了几种用于文档质量检查的方法,但它们还没有推广到足以处理大范围项目中的各种非结构化文档。基于过去的经验,我们已经为设计和开发全球软件开发项目准备了指导方针、模板、规则和文档质量检查工具。在本文中,我们特别关注文档质量检查工具的有效性。这种检查工具面临的挑战是,它必须具有普遍的适应性,并且高度精确,才能适用于工业用途。我们的方法是基于模板的,由物理语法结构的提取过程、逻辑语义结构的转换过程和分析过程组成。我们的实验检查了66份真实的客户文件,发现了118个错误。以真阳性比(准确检出真错误)为98.3%,真阴性比(准确检出无错误)为99.4%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Document Quality Checking Tool for Global Software Development
Software development projects often utilize global resources to reduce costs. Typically a large volume of unstructured office documents are involved. Unfortunately, in many cases the low quality of unstructured documents due to various location-related barriers (e.g. time zones, languages, and cultures) can cause negative effects on the outcomes of projects. Several approaches have been introduced for document quality checking but they have not generalized well enough to handle various unstructured documents in a broad range of projects. Based on past experience, we have prepared guidelines, templates, rules, and document quality-checking tools for designing and developing global software development projects. In this paper we specifically focus on the effectiveness of our document quality checking tool. The challenges for such a checking tool are that it must be generally adaptive and also highly accurate to be practical for industrial use. Our approach is template-based and consists of an extraction process for the physical-syntactic structure, a transformation process for the logical-semantic structure and an analysis process. Our experiments inspected 66 authentic customer documents, detecting 118 errors. The accuracy as measured by the true-positive ratio (accurately detected true errors) was 98.3% and the true-negative ratio (accurately detected non-errors) was 99.4%.
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