Software product lines (SPL) emulate the industrial production lines that are capable of generating large volumes of products through reuse schemes and mass production. A multi product line (MPL) aims to reuse of several SPL. Feature models are often used to manage the existing resources of SPLs and define valid products through notations and relationships such as mandatory, optional, and alternative features. The main contribution of this study is a method to manage the variability of multiple SPL and generate a new portfolio of products for Internet of Things (IoT). For this, the problem of developing a universal feature model (FM) for an MPL from merging the FMs of the individual SPLs with a Search-Based Software Engineering (SBSE) technique is addressed. In addition, the authors propose a multi-objective optimisation model to maximise the reusability and compatibility between features and minimise the development cost. The model facilitates the design of an MPL-feature model. Authors' empirical results show that the proposed model solved by genetic algorithms allows to configure a variety of software products and to determine the scope of the MPL.

中文翻译：

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多种软件产品线可配置物联网应用

软件产品线（SPL）模拟工业生产线，该工业生产线能够通过重用方案和批量生产来生成大量产品。多产品线（MPL）旨在重用多个SPL。功能模型通常用于管理SPL的现有资源，并通过符号和关系（例如强制性，可选和替代功能）定义有效产品。这项研究的主要贡献是一种用于管理多个SPL的可变性并生成用于物联网（IoT）的新产品组合的方法。为此，解决了通过将单个SPL的FM与基于搜索的软件工程（SBSE）技术合并而为MPL开发通用功能模型（FM）的问题。此外，作者提出了一种多目标优化模型，以最大化功能之间的可重用性和兼容性，并最大程度地降低开发成本。该模型有助于MPL功能模型的设计。作者的经验结果表明，通过遗传算法求解的建议模型允许配置各种软件产品并确定MPL的范围。