Process & Evidence Enable to Automate ALM (Application Lifecycle Management)

Application lifecycle management (ALM) integrates the lifecycle workflows such as, requirements management, architecture, coding, testing, tracking, and release management. Process automation and seamless trace ability across the process are so important. But, different terminology and different model were used to implement the tool for specific workflow so that it is not possible to communicate between the tools. In this paper, we suggest new approach to achieve the seamless trace ability 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. In this paper, we suggest the architecture for automating the ALM using process management technology and guideline-based engineering.