A prototype of a crowd-sourcing platform for classification and integration of analysis tools in product line engineering

M. Soleymani, D. Ferreira, Vasil L. Tenev, Martin Becker
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Abstract

Adopting Product Line Engineering (PLE) approaches in the context of software-intensive systems reduces overall development and maintenance costs, reduces time to market and leads to an overall improvement in product quality. The Software and System Product Line (SPL) community has provided a large number of different analysis approaches and tools, which were developed in different contexts, answer different questions, and can contribute to the fulfillment of different analysis goals. The pursuit of these goals requires holistic approaches, i. e. integrated toolchains and classification of analyses, which are documented as a centralized collection of wisdom. Previously, we proposed a classification system for describing existing analyses. Furthermore, this method supports the search for possible combinations, i. e. toolchains which address the complex industrial needs in the context of adopting PLE approaches. In this paper, we present a prototype of a crowd-sourcing platform to collect and share the required information regarding existing analyses and toolchains. While overviews of PLE-aware analyses exist, we propose an interactive visualisation to identify and document the required input data and resulting information for each analysis method. With this platform, we hope to promote the usage of analysis approaches and encourage collaboration between researchers.
一个用于产品线工程中分类和集成分析工具的众包平台的原型
在软件密集型系统的环境中采用产品线工程(PLE)方法可以降低总体开发和维护成本,缩短上市时间,并导致产品质量的全面改进。软件和系统产品线(SPL)社区提供了大量不同的分析方法和工具,它们是在不同的环境中开发的,回答不同的问题,并有助于实现不同的分析目标。对这些目标的追求需要整体的方法,即集成的工具链和分析的分类,它们被记录为一个集中的智慧集合。之前,我们提出了一个描述现有分析的分类系统。此外,该方法支持搜索可能的组合,即在采用PLE方法的背景下解决复杂工业需求的工具链。在本文中,我们提出了一个众包平台的原型,用于收集和共享有关现有分析和工具链的所需信息。虽然存在ple感知分析的概述,但我们提出了一种交互式可视化方法,以识别和记录每种分析方法所需的输入数据和结果信息。通过这个平台,我们希望促进分析方法的使用,并鼓励研究人员之间的合作。
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