Jacob G. Barnett

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Just-In-Time (JIT) defect prediction models aim to predict the commits that will introduce defects in the future. Traditionally, JIT defect prediction models are trained using metrics that are primarily derived from aspects of the code change itself (e.g., the size of the change, the author's prior experience). In addition to the code that is submitted(More)
Growth of chicken patagialis muscle in response to passive stretch for 7 days was studied in the absence and presence of the DNA synthesis inhibitor hydroxyurea. In the absence of hydroxyurea, the DNA content and concentration of the stretched muscle increased 101% and 40%, respectively, relative to the unstretched contralateral control. Stretch-induced(More)
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