首页> 外文期刊>Journal of computer sciences >NON FUNCTIONAL REQUIREMENT TRACEABILITY AUTOMATION-AN MOBILE MULTIMEDIA APPROACH | Science Publications
【24h】

NON FUNCTIONAL REQUIREMENT TRACEABILITY AUTOMATION-AN MOBILE MULTIMEDIA APPROACH | Science Publications

机译:非功能需求追踪性自动化-一种移动多媒体方法科学出版物

获取原文
           

摘要

> Requirements Engineering (RE) is the area of software engineering that deals with the discovery and specification of the objectives for the system under development and the environment in which it is used including the human activities it supports. Requirement Elicitation is process of gathering requirements from stakeholders. Incorporating RE to identify non Functional Requirements (NFR) in early stages of design and implementation avoids ambiguities, conflicting requirement and other defects. The efficacy of the requirement engineering methodology is its ability to capture NFR in an efficient manner. In this study, we propose a novel method of elicitation using mobile multimedia and to automatically trace the NFR. The requirements description is captured in video using smart phones. Requirement document are prepared using voice to text converter. NFR is detected automatically from the requirement document and hand gestures emphasise the importance of the requirement. It is observed that the precision and recall of the classifiers is better using multimedia data. Features were extracted from video frame and audio using image processing technique and speech processing. We investigated data mining approach to identify Non Functional Requirements (NFR) from Functional Requirement (FR) Documents. Results obtained were satisfactory.
机译: >需求工程(RE)是软件工程领域,它涉及对正在开发的系统及其使用环境(包括所支持的人类活动)的目标进行发现和规范。需求启发是从利益相关者那里收集需求的过程。在设计和实施的早期阶段结合RE来识别非功能需求(NFR)可以避免歧义,需求冲突和其他缺陷。需求工程方法论的功效在于其以有效方式捕获NFR的能力。在这项研究中,我们提出了一种使用移动多媒体进行启发并自动跟踪NFR的新颖方法。使用智能手机以视频形式捕获需求描述。使用语音到文本转换器准备需求文档。 NFR是从需求文档中自动检测到的,手势强调了需求的重要性。可以看出,使用多媒体数据,分类器的精度和查全率更好。使用图像处理技术和语音处理从视频帧和音频中提取特征。我们调查了数据挖掘方法,以从功能需求(FR)文档中识别非功能需求(NFR)。获得的结果令人满意。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号