在针对特定领域的软件复用中,产品导出是主要活动之一.产品导出指的是,开发人员基于领域中可复用的软件制品开发出所需的软件产品.在产品导出过程中,产品导出效率决定了软件复用的收益.在诸多影响产品导出效率的因素中,手工进行产品导出是拉低产品导出效率的主要因素之一,其最终会导致软件复用收益降低.为了提高产品的导出效率,相关研究提出了一些自动导出软件产品的方法.在这些方法中,一种普遍采用的指导思想是基于特征模型自动导出软件产品.在诸多使用该思想进行产品导出的方法中,各方法所使用的实现方式差异很大.为了给基于特征模型自动导出软件产品提供更好的支持,基于现有研究,提出了一个分类框架,并使用该框架对现有基于特征模型自动导出软件产品的方法进行了分类和比较.另外,还进一步指出了现有研究中的不足,并提出解决这些不足的设想.

One of the basic activities in domain-specific software reuse is product derivation, which is deriving individual software products from the reusable software artifacts produced beforehand in the domain. The efficiency of product derivation decides the benefits of software reuse. Among all of the factors affecting the efficiency of product derivation, derivation being carried out manually is a major aspect with negative impacts that reduces the benefits of software reuse as a result. To improve the efficiency of product derivation, some approaches have been proposed to automate the derivation activity. A widely adopted idea in the approaches is automating the derivation activity based on feature models. In the approaches sharing the idea above, the implementation methods differ widely from one to another. To provide better support for feature model-based automated product derivation, this paper proposes a framework for classifying and analyzing these approaches. The paper also points out the problems in the existing researches and the possible solutions to the problems.

国家自然科学基金(60873059, 61272163); 国家重点基础研究发展计划(973)(2015CB352201); 可信软件基础研究重大研究计划(91318301)