E-SECO ProVersion: An Approach for Scientific Workflows Maintenance and Evolution

This paper discusses the use of evolution and maintenance techniques in scientific workflows context. Using version control and data provenance techniques, strategical information can be collected and analyzed using ontological rules. We present the E-SECO ProVersion approach, specified in the context of a Scientific Software Ecosystem, named E-SECO. E-SECO ProVersion is aimed of acting as a mediator to extract maintenance and evolution information from different workflows repositories. Therefore, it address the maintenance and evolution of scientific workflows, adapting concepts of software evolution and maintenance for the scientific experimentation context, through versioning and similarity degree obtained from data provenance support.