使用SPLE以产品成本交付定制解决方案:挑战和前进的方向

PLEASE '11 Pub Date : 2011-05-22 DOI:10.1145/1985484.1985486
V. Kulkarni
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引用次数: 4

摘要

随着业务动态的不断增加,对业务应用程序适应性的需求也在不断增加。在这种动态情况下,基础开发技术既不能交付,也不能扩展。软件产品线工程(simple)旨在通过预先捕获共性和可变性来增加适应性,从而从各个部分适当地配置应用程序。当业务应用程序沿着多个同时发展的维度受到更改时,以代码为中心的spe技术显示出不可接受的响应性。使用功能关注点与实现平台的清晰分离,模型驱动的方法可以轻松地将相同的功能交付到多个技术平台。然而,业务应用程序在几个方面表现出可变性,例如功能、业务流程、设计决策、体系结构和技术平台。我们认为,SPLE技术需要提升到更高的抽象层次,以使它们能够与模型驱动的技术协同工作,从而实现沿着所有这些维度所期望的适应性。在过去的15年中,我们一直在使用模型驱动技术交付大型业务应用程序。在本文中,我们概述了我们在采用SPLE时面临的几个关键挑战,并提出了可能被行业实践更广泛接受的解决方案的原则。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of SPLE to deliver custom solutions at product cost: challenges and a way forward
Need for adaptiveness of business applications is on the rise with continued increase in business dynamics. Ground-up development techniques neither deliver nor can scale in this dynamic situation. Software Product Line Engineering (SPLE) aims to increase adaptiveness by capturing commonality and variability up front to suitably configure the application from its parts. Code-centric SPLE techniques show unacceptable responsiveness when business applications are subjected to changes along multiple simultaneously evolving dimensions. Using clear separation of functional concerns from implementation platform, model driven approaches enable easy delivery of the same functionality into multiple technology platforms. However, business applications exhibit variability in several dimensions such as functionality, business process, design decisions, architecture, and technology platform. We argue that SPLE techniques need to be elevated to a higher level of abstraction to enable them to work in unison with model-driven techniques in order to realize the desired adaptiveness along all these dimensions. We have been delivering large business applications using model-driven techniques for past 15 years. In this paper, we have outlined several key challenges that we faced in adopting SPLE and presented tenets of a solution that is likely to have greater acceptance by industry practice.
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