Context-Based Recommendation Approach for Measurement and Evaluation Projects

Hernan Molina, Luis Olsina, Gustavo Rossi
2010 Journal of Software Engineering and Applications  
Data, information and knowledge are recognized as useful assets for analysis, recommendation and decision making at any business level of an organization. Providing the right information for decision making considering different userrequirements, projects and situations is, however, a difficult issue. A frequently-neglected challenge is to cope with the influence of contextual issues affecting the success of outcomes and decisions. Particularly, when conducting quality evaluations in software
more » ... ganizations, it is of paramount importance to identify beforehand the contextual issues affecting outcomes and interpretations for measurement and evaluation projects. Therefore, the relevant context information should be clearly identified, specified and recorded for performing more robust analysis and recommendations. In this work, a domain-independent context model and a mechanism to integrate it to any application domain is presented. The context model is built upon a measurement and evaluation framework enabling quantification and semantic capabilities. The context model is then integrated in the mentioned framework itself to enable recommendations in measurement and evaluation projects. JSEA 1091 found in the cited literature and observed some common issues about context information:  It is relative to a specific object or entity of interest;  It should be relevant with regard to:
doi:10.4236/jsea.2010.312128 fatcat:yrtsk3rfzncblpxtmndh7oyzqy