Decision Support Architecture for Primary Studies Evaluation

Background. A systematic literature review is a process in which all relevant available research about a research question is identified, evaluated, and interpreted through individual studies. The workload required for this process may bias the evaluation of the studies, affecting the result. Aim. Creating a decision support architecture to assist participants of a systematic review in the selection process of the individual studies and quality assessment of these studies, possibly improving the execution time and reducing the evaluation bias. Method. Improving the primary studies selection and quality assessment processes by using text mining techniques and ontologies to construct a decision support architecture. We will also conduct experiments to evaluate the proposed architecture. Contribution. Improve the primary studies selection and quality assessment processes, reducing its workload, and lowering the evaluation bias in systematic literature reviews.