Ground-Truth Deficiencies in Software Engineering: When Codifying the Past Can Be Counterproductive

التفاصيل البيبلوغرافية
العنوان: Ground-Truth Deficiencies in Software Engineering: When Codifying the Past Can Be Counterproductive
المؤلفون: Burak Turhan, Eray Tüzün, Hakan Erdogmus, Maria Teresa Baldassarre, Michael Felderer, Robert Feldt
المساهمون: Tüzün, Eray
المصدر: IEEE Software
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2022.
سنة النشر: 2022
مصطلحات موضوعية: Ground truth, Software, Software bug, Computer science, business.industry, Process (engineering), Task analysis, Software engineering, business, Cognitive bias, Data modeling, Task (project management)
الوصف: Many 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.
وصف الملف: application/pdf
تدمد: 1937-4194
0740-7459
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1a33ce19bb1c0487e2c7e85fca58c7a
https://doi.org/10.1109/ms.2021.3098670
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....b1a33ce19bb1c0487e2c7e85fca58c7a
قاعدة البيانات: OpenAIRE