A Systematic Review About Activities Recommendation in Workflows
Workflow management systems enable users without deep knowledge in computing connecting activities to build new software graphically. To harness the reuse in these systems it is necessary to know a large number of activities. In order to minimize this need there are several proposals for workflows activities recommendation or automatic composition. This paper aims to identify the techniques used to recommend activities in workflows. For this, 20 papers were selected through a systematic review, the methods found were analyzed to identify trends. It was found a tendency to use methods based on frequency, data provenance and information dependency. Another trend was the lack of formal and well defined methodology to validate results.