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中国科学院软件研究所
  
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左继红,王千祥,梅宏.一种基于模型的特征交互检测方法.软件学报,2007,18(1):94-104
一种基于模型的特征交互检测方法
A Model-Based Approach to Detecting Feature Interactions
投稿时间:2005-11-28  修订日期:2006-05-24
DOI:
中文关键词:  特征交互  模型检测  模型  约束  非单调性  形式化方法
英文关键词:feature interaction  model checking  model  constraint  non-monotonicity  formal method
基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60233010, 90412011 (国家自然科学基金); the National Grand Fundamental Research 973 Program of China under Grant No.2005CB321805 (国家重点基础研究发展规划(973))
作者单位
左继红 Supported by the National Natural Science Foundation of China under Grant Nos.60233010, 90412011 (国家自然科学基金)
the National Grand Fundamental Research 973 Program of China under Grant No.2005CB321805 (国家重点基础研究发展规划(973)) 
王千祥 Supported by the National Natural Science Foundation of China under Grant Nos.60233010, 90412011 (国家自然科学基金)
the National Grand Fundamental Research 973 Program of China under Grant No.2005CB321805 (国家重点基础研究发展规划(973)) 
梅宏 Supported by the National Natural Science Foundation of China under Grant Nos.60233010, 90412011 (国家自然科学基金)
the National Grand Fundamental Research 973 Program of China under Grant No.2005CB321805 (国家重点基础研究发展规划(973)) 
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中文摘要:
      为了适应业务的不断更新,许多软件系统通过向公共的基础系统插入新的扩展来实现演化.这种演化策略虽然有利于并行开发和部署,但也面临着扩展间可能发生非预期特征交互的问题.目前,形式化方法在检测特征交互问题方面仍然是最有效的方法之一.这类方法着眼于检测扩展之间是否会发生冲突.虽然在小规模实验上较为成功,但是它们也面临着一些挑战.例如:扩展的非单调性、扩展组合的激增以及扩展模型可能无法获知的问题.实际上,许多特征交互都源于新扩展对基系统和已有扩展造成的不恰当影响.基于这种认识,集中关注由于扩展的不恰当影响所导致的交互冲突问题,提出了如何从已知的特征交互实例来分析产生冲突的原因的具体方法,并说明了如何制定约束以限制扩展中易导致冲突的行为,从而预防同一类行为可能导致的各种冲突.该方法被应用到电信系统特征交互的分析上,实验结果表明,大部分特征交互中导致冲突的行为都可以被检测出来.该方法不仅能够保证原有基系统或扩展模型的稳定、有效,避免扩展组合带来的问题,而且它无须公布扩展的模型细节.
英文摘要:
      To adapt to continually changing businesses, many software systems have to undergo evolutions through plugging new extensions into common base subsystems. Although it can facilitate concurrent development and deployment, this evolution strategy faces the problem of unexpected feature interactions between extensions. So far, formal method is still one of the most effective methods to detect feature interaction problems. The method has been proved to be successful by some small scale experiments. However, it also faces some challenges, e.g., the non-monotonicity of extension, the fast increase of extension combinations and the lack of extension details due to market competitions. Actually, many feature interactions are caused by the inappropriate modifications to the base subsystem and the existing extensions by new extensions. Based on this observation, the paper proposes a new approach for analyzing the causes of feature interactions and for formulating the corresponding constraints such that the conflicts with the same reason can be avoided. The approach has been applied to the analysis of the feature interactions of telecom systems. The experimental results show that most of the conflict-prone behaviors can be discovered quickly. In addition, the approach can help preserve the stability of the original base model and extension models, bypass the problem of extension combinations, and eliminate the requirement to publish the details of all extension models.
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