From Software as a good to software as a service: Preparing the evolution of software products into the cloud

Leire Orue-Echevarria Arrieta
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引用次数: 6

Abstract

Summary form only given. The speed of change in Internet Technologies continues to be impressive and the current “Future Internet” based society increasingly relies on software at all levels. Nevertheless, software systems continue to suffer from aging symptoms caused by the inherent factors of the software modernization process: inevitable; unpredictable; costly; difficult; time- and resource-consuming; poorly supported by tools, techniques or formalisms; poorly understood and maintained; undervalued in traditional software development processes, etc. Furthermore, current technological and business innovations (such as Cloud Computing and Software as a Service (SaaS) concepts) are changing the way in which software is designed, developed, tested, delivered and consumed. All this means that new requirements, never seen before in software development, have to be faced (scalability, multi-tenancy support, usage monitoring, security, SLA compliance, etc.). These challenges are even greater when adapting previously developed software to this new landscape. Different approaches (reverse engineering, ADM, or service-oriented-architecture modernization) have to be analyzed depending on the source language, architecture, target market or available resources. As a result, the complete software life cycle, from requirements to runtime and delivery, has to be re-adapted to the new technological and business conditions, needs and challenges, thus increasing the need of advanced means to support software evolution and adaptation as a key value for the next-generation service-based software modernization. One particular example of complex system modernization is the exposure of legacy systems as SaaS. Model-driven techniques have been used for several years to cope with the challenge of transformation of legacy systems as SaaS. Regardless of the positive features of these techniques, for legacy systems there are many challenges such as are the availability of architectural models describing the system (typically unavailable for legacy systems), the ability to transform the original system into new ones compatible with targeted infrastructures and frameworks, and the support for adaptive deployment. All these features are particular relevant when deploying legacy applications as SaaS on the Web, for instance using different Cloud offerings. Desirable solutions are those that can automate the transformation of existing legacy systems that require being transformed into modern ones exposed as services (SaaS) compatible with modern technology frameworks. This keynote will present the challenges and needs, as well as the results obtained so far in this novel architecture and business model based on the cloud.
从软件即产品到软件即服务:准备软件产品向云的演进
只提供摘要形式。互联网技术的变化速度仍然令人印象深刻,当前基于“未来互联网”的社会越来越依赖于各个层面的软件。然而,由于软件现代化进程的内在因素,软件系统不断出现老化的症状:不可避免;不可预测的;昂贵的;困难的;耗时耗力;缺乏工具、技术或形式化的支持;缺乏理解和维护的;在传统的软件开发过程中被低估了,等等。此外,当前的技术和业务创新(例如云计算和软件即服务(SaaS)概念)正在改变软件的设计、开发、测试、交付和消费方式。所有这些都意味着必须面对软件开发中从未见过的新需求(可伸缩性、多租户支持、使用监控、安全性、SLA遵从性等)。在调整以前开发的软件以适应这种新环境时,这些挑战甚至更大。必须根据源语言、体系结构、目标市场或可用资源来分析不同的方法(逆向工程、ADM或面向服务的体系结构现代化)。因此,完整的软件生命周期(从需求到运行时和交付)必须重新适应新的技术和业务条件、需求和挑战,从而增加了对先进手段的需求,以支持软件演进和适应,并将其作为下一代基于服务的软件现代化的关键价值。复杂系统现代化的一个特殊例子是将遗留系统公开为SaaS。模型驱动技术已经使用了好几年,以应对将遗留系统转换为SaaS的挑战。不管这些技术的积极特性是什么,对于遗留系统来说存在许多挑战,例如描述系统的体系结构模型的可用性(对于遗留系统来说通常是不可用的),将原始系统转换为与目标基础结构和框架兼容的新系统的能力,以及对自适应部署的支持。当将遗留应用程序部署为Web上的SaaS时,例如使用不同的云产品,所有这些特性都是特别相关的。理想的解决方案是那些能够自动转换现有遗留系统的解决方案,这些系统需要转换为与现代技术框架兼容的公开为服务(SaaS)的现代系统。本次主题演讲将介绍挑战和需求,以及迄今为止在这种基于云的新架构和业务模型中获得的成果。
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