Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  put forward an automatic method of acquiring the specific system composition model from a domain composition model and requirements for the specific system in domain-specific b services composition. This is referred to as the variability consolidation problem in this paper. To achieve this goal,  designed a language to describe domain properties for b services composition. The basis of our approach is to transform the domain composition model and the requirements for the specific system into a mathematical optimization problem, which can be solved by existing algorithms. Thus, this method is fully automatic and not prone to human errors. Our preliminary experimental results show that our method is quite feasible for solving problems with real world sizes.
['Junfeng Zhao', 'Lu Zhang', 'Yasha Wang', 'Ying Jiang', 'Bing Xie']
I am writing a research paper on a idea Towards an optimization-based method for consolidating domain variabilities in domain-specific web services composition
[{"from": "human", "value": "I am writing a research paper on a idea Towards an optimization-based method for consolidating domain variabilities in domain-specific web services composition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  put forward an automatic method of acquiring the specific system composition model from a domain composition model and requirements for the specific system in domain-specific b services composition. This is referred to as the variability consolidation problem in this paper. To achieve this goal,  designed a language to describe domain properties for b services composition. The basis of our approach is to transform the domain composition model and the requirements for the specific system into a mathematical optimization problem, which can be solved by existing algorithms. Thus, this method is fully automatic and not prone to human errors. Our preliminary experimental results show that our method is quite feasible for solving problems with real world sizes."}]