An implementation strategy of evidence-based application lifecycle management

Abstract

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. © 2010 Springer-Verlag.