Minimize experimentation overhead through dataset selection, ensemble feature attention, and feature selection with reduced subset sizes

In large-scale ML, data size becomes a critical variable, especially in the context of large companies, where models already exist and are hard to change and fine-tune. Time to market and model quality are essential metrics, thus looking for ways to select, prune and augment the input data while treating the model as a black box can speed up the...

Deep Just-in-Time Defect Prediction at Adyen

Finding defects in proposed changes is one of the biggest motivations and expected outcomes of code review, but does not result as often as expected in actually finding defects. Just-in-time (JIT) defect prediction focuses on predicting bug-introducing changes, which can help with efficient allocation of inspection time according to the defect...

Major incident detection

Incident management is one of the top priorities for IT companies. Within incident management the so-called major incidents, incidents with a severe impact on the company, require emergency actions to reduce this impact. An earlier detection of these major incidents will lead to a faster resolution time and this can be achieved by using software...

AI Model Lifecycle Management: Systematic Mapping Study and Solution for AI Democratisation

The development of artificial intelligence (AI) has made various industries eager to realise and obtain the benefits of AI. There is an increasing amount of research surrounding AI, most of which is centred on the development of new AI algorithms and techniques, thereby, however, ignoring an increasing set of practical problems related to AI...

Machine Learning for Software Refactoring: a Large-Scale Empirical Study

Refactorings tackle the challenge of architectural degradation of object-oriented software projects by improving its internal structure without changing the behavior. Refactorings improve software quality and maintainability if applied correctly. However, identifying refactoring opportunities is a challenging problem for developers and...