Towards Efficient Tracing in Software Product Lines: Research Methodology

Zineb Mcharfi, B. E. Asri
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Abstract

Software Product Lines represent a solution for massive development with minimum costs, while assuring product high quality and interesting time to market. In fact, Software Product Lines systems are used for massive productions, and are based on systematic reuse of commun components, while offering the ability to add specific development, in order to satisfy particular users or market needs. However, to maintain such complex and large-scale systems, it is mandatory to adopt a suitable tracing policy that satisfies the system constraints, especially cost and complexity. Unfortunately, tracing is rearly applied in Software Product Lines as it presents several constraints, especially its cost. Through our research work, we tried to come up with elements that would help break this prejudice. Therefore, we worked on a cost and Return on Investment estimation model that helps identify the optimal conditions (phase and policy) for implementing a tracing solution. As a result of our work, we found that implementing specific trace links, in a targeted approach that meets business goals, and starting from the Domain Engineering phase, costs less and presents the most interesting Return on Investment. To conduct this study and reach those findings, we followed the Design Science Research Methodology. In this article, we detail the steps of our research according to this methodology’s phases.
面向软件产品线的高效跟踪:研究方法
软件产品线代表了以最低成本进行大规模开发的解决方案,同时保证了产品的高质量和有趣的上市时间。事实上,软件产品线系统用于大规模生产,并且基于公共组件的系统重用,同时提供添加特定开发的能力,以满足特定用户或市场需求。然而,为了维护如此复杂和大规模的系统,必须采用合适的跟踪策略,以满足系统约束,特别是成本和复杂性。不幸的是,跟踪在软件产品线中很少应用,因为它提出了一些限制,特别是它的成本。通过我们的研究工作,我们试图找出有助于打破这种偏见的因素。因此,我们致力于成本和投资回报评估模型,该模型有助于确定实现跟踪解决方案的最佳条件(阶段和策略)。作为我们工作的结果,我们发现在满足业务目标的目标方法中实现特定的跟踪链接,并从领域工程阶段开始,成本更低,并且呈现出最有趣的投资回报。为了进行这项研究并得出这些发现,我们遵循了设计科学研究方法论。在本文中,我们根据该方法的阶段详细介绍了我们的研究步骤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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