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Moving legacy software systems to cloud platforms is an ever popular option.But, such an endeavour may not be hazard-free and demands a properunderstanding of requirements and risks involved prior to taking any actions.The time is indeed ripe to undertake a realistic view of what migrating systemsto the cloud may offer, an understanding of exceptional situations causingsystem quality goal failure, and insights on countermeasures. The cloudmigration body of knowledge, although is useful, is dispersed over the currentliterature. It is hard for busy practitioners to digest, synthesize, andharness this body of knowledge into practice in a scenario of integratinglegacy systems with cloud services. We address this issue by creating aninnovative synergy between the approaches evidence-based software engineeringand goal-oriented modelling. We develop an evidential repository of commonlyoccurred obstacles and platform agnostic resolution tactics related to makingsystems cloud-enabled. The repository is further utilized during the systematicgoal-obstacle elaboration of given cloud migration scenarios. The applicabilityof the proposed framework is also demonstrated.

Reusing empirical knowledge during cloud computing adoption