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Home > Archive>Volume 27, Issue 1, 2016 >26-44. DOI:10.13328/j.cnki.jos.004929
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A Survey of the Feature Model Based Approaches to Automated Product Derivation
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National Program on Key Basic ResearchProject of China (973) (2015CB352201); National Natural Science Foundation of China (60873059, 61272163); Major Research Project Based on Trusted Software (91318301)

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    Abstract:

    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.

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于文静,赵海燕,张伟,金芝.基于特征模型的软件产品自动导出方法综述.软件学报,2016,27(1):26-44

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History
  • Received:July 23,2015
  • Revised:September 15,2015
  • Online: November 04,2015
Links:Institute of Software, CASChina Computer FederationCASNSFC
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