An Implementation Strategy of Evidence-Based Application Lifecycle Management

被引：0

作者：

Kim, Jeong Ah ^{[1
]}

Choi, SeungYong ^{[2
]}

机构：

[1] Comp Educ Dept, 522 NaeKok Dong, Kangnung, South Korea

[2] Dept Comp Engn, Kangnung, South Korea

来源：

SECURITY-ENRICHED URBAN COMPUTING AND SMART GRID | 2010年 / 78卷

关键词：

Application Life Cycle Management; Evidence-based software engineering; ontology; guideline;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Application lifecycle management (ALM) facilitate and integrate facilitate and integrate requirements management, architecture, coding, testing, tracking, and release management. Process automation and seamless traceability among tools are getting important. In this paper, we suggest new approach to achieve the seamless traceability and process automation. For these features, knowledge formalization is critical. Evidence-based medicine is good reference architecture to ALM2. Software Engineering ontology is powerful solution to semantic gap between tools and guideline-based process execution environment can be practical solution to process automation.

引用

页码：560 / +

页数：2

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