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1. 1. Machine Learning to Uncover Correlations Between Software Code Changes and Test Results

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Negar Fazeli; [2017-12-05]
   Nyckelord :;

   Sammanfattning : Statistics show that many large software companies, particularly those dealing with large-scale legacy systems, ultimately face an ever-growing code base. As the product grows, it becomes increasingly difficult to adequately test new changes in the code and maintain quality at a low cost without running a large number of test cases [1, 2, 3]. LÄS MER