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Intl. Summer School on Search- and Machine Learning-based Software Engineering
Data Mining Algorithms Using/Used-by Optimizers: a DUO Approach to Software Engineering
Leandro Minku
University of Birmingham
Abstract. The fields of Software Analytics and Search-Based Software Engineer- ing have evolved mostly as separate fields over the past decades. Both have achieved a great level of maturity, finding their way into Software Engineering Practice. How- ever, their achievements are limited by their isolated focus on either data mining / machine learning or search-based optimization. What could Software Analytics achieve when using search-based optimization? And what could Search-Based Soft- ware Engineering achieve when using data mining? This talk will discuss recent advancements and future directions of the emerging field of DUO — Data mining Using/Used-by Optimizers for empirical studies in software engineering.
Biography. Dr. Leandro L. Minku is an Associate Professor at the School of Computer Science, University of Birmingham (UK). Prior to that, he was a Lec- turer at the University of Leicester (UK), and a Research Fellow at the University of Birmingham (UK). He received the PhD degree in Computer Science from the University of Birmingham (UK) in 2010. Dr. Minku’s main research interests in- clude machine learning for software engineering, machine learning for non-stationary environments / data stream mining, class imbalance learning and search-based soft- ware engineering. Among other roles, Dr. Minku is Associate Editor-in-Chief for Neurocomputing, and Associate Editor for IEEE Transactions on Neural Networks and Learning Systems, Empirical Software Engineering journal and Journal of Sys- tems and Software. He was the general chair for the International Conference on Predictive Models and Data Analytics in Software Engineering (PROMISE 2019- 2020), co-chair for the Artifacts Evaluation Track of the International Conference on Software Engineering (ICSE 2020), and program committee member for presti- gious conferences both in the fields of machine learning and software engineering, such as IJCAI, AAAI and ICSE.
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