软件过程智能:挖掘软件过程数据以提取可操作信息

A. Sureka, Atul Kumar, Shrinath Gupta
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引用次数: 7

摘要

软件过程由软件产品创建和维护期间执行的一组结构化活动组成。几个应用程序和工具方便了软件的构建和后续维护。一些工具,如问题跟踪系统(ITS)和版本控制系统(VCS),可以归类为进程感知信息系统(PAIS),记录由事件、活动、时间戳、用户或参与者以及特定于上下文的信息组成的数据。在软件构建期间(作为软件开发过程的一部分)使用的信息系统生成的此类事件或跟踪数据包含有价值的信息,可以对这些信息进行挖掘,以获得有用的见解和可操作的信息。软件过程智能(SPI)是一门新兴和不断发展的学科,涉及软件过程的挖掘和分析。这是在业务流程智能(BPI)的基础上建模的,但是重点放在软件过程及其在软件系统中的适用性上。在本文中,我们提出了一个通用的软件过程智能框架及其一些应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ahaan: Software Process Intelligence: Mining Software Process Data for Extracting Actionable Information
Software Processes consist of a structured set of activities performed during creation and maintenance of software products. The construction and subsequent maintenance of a software is facilitated by several applications and tools. Some of the tools such as Issue Tracking System (ITS) and Version Control System (VCS) can be classified as Process Aware Information System (PAIS) logging data consisting of events, activities, time-stamp, user or actor and context specific information. Such events or trace data generated by information systems used during software construction (as part of the software development process) contains valuable information which can be mined for gaining useful insights and actionable information. Software Process Intelligence (SPI) is an emerging and evolving discipline involving mining and analysis of software processes. This is modeled on the lines of Business Process Intelligence (BPI), but with the focus on software processes and its applicability in software systems. In this paper, we present a generic framework for Software Process Intelligence and some of its applications.
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