Tüzün, ErayErdoğmuş, H.Baldassarre, M. T.Felderer, M.Feldt, R.Turhan, B.2022-01-272022-01-27May 20220740-7459http://hdl.handle.net/11693/76826Many software engineering tools build and evaluate their models based on historical data to support development and process decisions. These models help us answer numerous interesting questions, but have their own caveats. In a real-life setting, the objective function of human decision-makers for a given task might be influenced by a whole host of factors that stem from their cognitive biases, subverting the ideal objective function required for an optimally functioning system. Relying on this data as ground truth may give rise to systems that end up automating software engineering decisions by mimicking past sub-optimal behaviour. We illustrate this phenomenon and suggest mitigation strategies to raise awareness.EnglishArticle10.1109/MS.2021.30986701937-4194