4 citations · 5 across the 3 of their papers we have counts for
4 papers
Predicting the Number of Reported Bugs in a Software Repository
Hadi Jahanshahi, Mucahit Cevik, Ayşe Başar
The bug growth pattern prediction is a complicated, unrelieved task, which needs considerable attention. Advance knowledge of the likely number of bugs discovered in the software s…
Does chronology matter in JIT defect prediction? A Partial Replication Study
Hadi Jahanshahi, Dhanya Jothimani, Ayşe Başar +1
Just-In-Time (JIT) models detect the fix-inducing changes (or defect-inducing changes). These models are designed based on the assumption that past code change properties are simil…
Explainable boosted linear regression for time series forecasting
Igor Ilic, Berk Gorgulu, Mucahit Cevik +1
Time series forecasting involves collecting and analyzing past observations to develop a model to extrapolate such observations into the future. Forecasting of future events is imp…
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting
Ozan Ozyegen, Igor Ilic, Mucahit Cevik
Being able to interpret a machine learning model is a crucial task in many applications of machine learning. Specifically, local interpretability is important in determining why a…