A framework for detecting ambiguity in software requirement specification

2017 8th International Conference on Information Technology (ICIT) Pub Date : 2017-05-01 DOI:10.1109/ICITECH.2017.8080002

A. A. Sabriye, W. Zainon

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引用次数: 16

Abstract

The accomplishment of any software system success depends on how well it meets the requirements of the stakeholders. These requirements are elicited from the customers. Software requirements are unambiguous if and only if it has one meaning. The elicited requirements are documented in software requirements specification document and these requirements are written in natural languages. Natural languages are basically ambiguous which makes the requirements documented in software requirements specification document unclear. This unclear requirement causes that software developers develop software which is different from the expected software based on the customer needs. The objective of this paper is to propose a framework that are able to detect ambiguity in software requirements specification document automatically using parts of speech tagging technique. To validate the outcome of the proposed work, open source software requirements specification documents will be used and generated result of the proposed work will be evaluated and validated by making comparison between the proposed prototype results and human generated results to decide how the proposed prototype can solved the ambiguity problem.

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一个用于检测软件需求规范中歧义的框架

任何软件系统的成功取决于它在多大程度上满足涉众的需求。这些需求是从客户那里得到的。当且仅当软件需求有一个含义时，它是明确的。得到的需求记录在软件需求规范文档中，这些需求用自然语言编写。自然语言基本上是模糊的，这使得在软件需求规范文档中记录的需求不清晰。这种不明确的需求导致软件开发人员根据客户的需求开发出的软件与预期的软件不同。本文的目的是提出一个利用词性标注技术自动检测软件需求说明文档歧义的框架。为了验证建议工作的结果，将使用开源软件需求规范文档，并通过比较建议的原型结果和人工生成的结果来评估和验证建议工作的生成结果，以确定建议的原型如何解决歧义问题。

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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2017 8th International Conference on Information Technology (ICIT)

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