本文選題：業(yè)務(wù)架構(gòu)集成 + 業(yè)務(wù)組件��； 參考：《Frontiers of Information Technology & Electronic Engineering》2017年09期

【摘要】：基于組件的軍事信息系統(tǒng)業(yè)務(wù)架構(gòu)集成是軍事領(lǐng)域中一個(gè)重要研究?jī)?nèi)容,而識(shí)別企業(yè)級(jí)業(yè)務(wù)組件是業(yè)務(wù)架構(gòu)集成中一個(gè)關(guān)鍵問題。當(dāng)前業(yè)務(wù)組件識(shí)別的方法多是關(guān)注于軟件層面業(yè)務(wù)組件,忽略了諸如組織、資源等企業(yè)級(jí)因素;而目前企業(yè)級(jí)業(yè)務(wù)組件識(shí)別方法被證明非常低效。因此本文提出一種企業(yè)級(jí)業(yè)務(wù)組件識(shí)別的新方法,該方法全面考慮了業(yè)務(wù)組件的內(nèi)聚度、耦合度、粒度、可維護(hù)性、可復(fù)用性五個(gè)設(shè)計(jì)原則。首先基于業(yè)務(wù)組件模型和DoD AF(Department of Defense Architecture Framework)模型對(duì)業(yè)務(wù)組件進(jìn)行了定義和形式化描述,為了對(duì)業(yè)務(wù)組件進(jìn)行定量化分析,將業(yè)務(wù)模型轉(zhuǎn)為一個(gè)CRUD(create,read,update,and delete)矩陣并提出了6類指標(biāo);然后將業(yè)務(wù)組件識(shí)別問題轉(zhuǎn)化為一個(gè)多目標(biāo)優(yōu)化問題,并采用了模擬退火遺傳算法(simulated annealing hybrid genetic algorithm,SHGA)進(jìn)行求解。最后通過(guò)案例分析驗(yàn)證了本文方法較先前的方法對(duì)企業(yè)級(jí)業(yè)務(wù)組件識(shí)別具有更好的適用性和高效性。
[Abstract]:The business architecture integration of military information systems based on components is an important research content in military field, and the identification of enterprise business components is a key issue in business architecture integration.The current methods of business component identification are mostly focused on the software level business components, ignoring the enterprise factors such as organization and resources, while the current methods of business component identification have been proved to be very inefficient.In this paper, a new method of business component identification is proposed, which takes into account five design principles: cohesion, coupling, granularity, maintainability and reusability.Firstly, the business component is defined and formalized based on the business component model and the DoD AF(Department of Defense Architecture framework model. In order to analyze the business component quantitatively, the business model is transformed into a crud model, and six kinds of indexes are proposed.Then, the problem of business component identification is transformed into a multi-objective optimization problem, and simulated annealing hybrid genetic algorithm is used to solve the problem.Finally, a case study shows that the proposed method is more applicable and efficient than the previous method in identifying enterprise business components.
【作者單位】： Science
【基金】：Project supported by the National Natural Science Foundation of China(No.71571189)
【分類號(hào)】：F272;TP18

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