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

Abstract

Application lifecycle management (ALM) integrates the lifecycle workflows such as, requirements management, architecture, coding, testing, tracking, and release management. Process automation and seamless traceability 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 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 guidelinebased 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

Proactive Software Engineering Approach to Ensure Rapid Software Development and Scalable Production with Limited Resources

“…Many previous research work have spoken about how to develop a high quality scalable system. Unfortunately, all previous work efforts assumed the availability of enough resources to accomplish the mission conveniently [4], [5], [6], [7], [8]. Going through a software (SW) development project that has limited amount of different types of resources including; budgets, time, and man-power resources, needs to implement an enhanced approach that presents a set validated set of enhanced engineering practices.…”