通过文档存储库的知识管理实现软件智能

Lida Bamizadeh, B. Kumar, Ajay Kumar
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引用次数: 0

摘要

不断增长的软件工程(SE)数据需要一种结构化的方法来管理它。软件智能(SI)帮助开发人员和实践者改进跨软件过程开发的决策制定过程。软件数据存储库存储了大量的低效数据,这些数据可以通过应用软件智能来提取可操作的和有洞察力的知识。这些知识可以保存在软件存储库中,用于现有的和即将到来的项目。本文介绍了创建新的软件数据存储库,并使用它来管理两种类型的软件工程数据:软件需求规范和代码气味。需求说明书是一种重要的软件工程数据。此外,源代码是所有软件系统的结构部分,诸如代码气味之类的设计缺陷会妨碍可维护性。因此,可以利用提取的知识来标准化和即兴编写软件需求规范,并为即将到来的项目设计代码。
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Software Intelligence through Knowledge Management of Document Repositories
Ever-growing of software engineering (SE) data requires a structured method to managing it. Software intelligence (SI) helps developers and practitioners for improving decision making process across the development of software process. Software data repositories store large volume of inefficient data which can be used by applying software intelligence to extract actionable and insightful knowledge. This knowledge can be saved in software repositories to use for existing and forthcoming projects. This paper presents creating of new software data repositories and using it to manage knowledge of two types of software engineering data: Software requirement specifications and code smells. Requirement specification is a significant kind of software engineering data. Also, source code is structural part of all software systems and design flaws such as code smells can hamper maintainability. Therefore, the extracted knowledge can be utilized to standardize and improvise Software Requirement Specification and code design for upcoming projects.
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