论将 UVL 转换为 IVML 的挑战
On the Challenges of Transforming UVL to IVML
AI总结：
本文探讨 UVL 与 IVML 可变性模型互转中的语义保持与信息丢失挑战，并基于 TRAVART 提出一种尽可能减少信息损失的 UVL 到 IVML 单向转换。
摘要：
软件产品线技术鼓励复用和调整软件组件，以创建定制化产品或软件系统。这些不同的产品变体具有共性和差异，并通过可变性建模进行管理。在过去三十年中，学术界和工业界开发了众多可变性建模方法，每种方法都有其优缺点。其中许多方法已经在特定领域或应用中证明了实用性。然而，理解这些方法的能力和差异，以便为特定用例确定最合适的方法，仍然具有挑战性。因此，用于处理可变性的新建模技术和定制工具不断被创建。通过在不同方法之间进行转换来实现可变性模型之间的迁移，有助于理解不同建模方法的优点和缺点。然而，实现此类转换面临诸多挑战，例如语义保持和避免信息丢失。TRAVART 是一种辅助在不同方法之间迁移的工具，它支持将可变性模型转换为其他不同类型的可变性模型。本文讨论了 UVL 与 IVML 之间此类转换所面临的挑战，并提出了一种从 UVL 到 IVML 的单向转换，以尽可能减少信息丢失。
英文摘要：
Software product line techniques encourage the reuse and adaptation of software components for creating customized products or software systems. These different product variants have commonalities and differences, which are managed by variability modeling. Over the past three decades, both academia and industry have developed numerous variability modeling methods, each with its own advantages and disadvantages. Many of these methods have demonstrated their utility within specific domains or applications. However, comprehending the capabilities and differences among these approaches to pinpoint the most suitable one for a particular use case remains challenging. Thus, new modeling techniques and tailored tools for handling variability are frequently created. Transitioning between variability models through transformations from different approaches can help in understanding the benefits and drawbacks of different modeling approaches. However, implementing such transformations presents challenges, such as semantic preservation and avoiding information loss. TRAVART is a tool that helps with transitioning between different approaches by enabling the transformation of variability models into other variability models of different types. This paper discusses the challenges for such transformations between UVL and IVML. It also presents a one-way transformation from the UVL to IVML with as little information loss as possible.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
