WAS Analytics (WASA) is a comprehensive journal aiming to proceed science-society interactions .
The open access strategy offers increased availability of the research and help in dissemination of research results, as well.
All accurate scientific results have to be published and disseminated by being freely accessible to all.
The journal publish multidisciplinary and interdisciplinary Computer Science and Engineering research. WAS Computer accepts
research in all subject areas related to Computer Science and Engineering.
The submitted manuscripts are evaluated on the basis of high ethical standards, accurate methodology, scientific and perceived novelty.
Types of articles:
Original research that contributes to the base of scientific knowledge, including interdisciplinary and replication studies results.
Systematic reviews whose methods ensure the comprehensive and unbiased sampling of existing literature.
Qualitative research that adheres to appropriate study design and reporting guidelines.
Other submissions that describes methods, software, databases, or other tools that if they follow the appropriate reporting guidelines.