Reusing knowledge on delivering privacy and transparency together

Heavy reliance on modern technologies causes the concepts of transparency and privacy to become more and more intertwined. Some recent privacy incidents illustrates that, such as: sharing of personal health information between United States and Canadian border services agencies; enabling voice recognition software by default in Samsung´s smart TVs; accidentally collecting personal information such as emails, addresses, user IDs and passwords by Google Street View car. However, all of these incidents lack transparency in disclosing features that could trigger privacy violation; leaving the general public unaware of what, how and when their personal information or information about their behaviour is being collected and used. Developing software that addresses both qualities is a challenge. Capturing patterns of knowledge that represent alternatives to achieve Privacy requirements together with Transparency properties can help software engineers to model more comprehensive solutions. We use Softgoal Interdependencies Graphs (SIG) to capture such patterns. This paper demonstrates a set of softgoal interdependency graphs (SIG) illustrating how transparency and privacy impact each other.