On the 17th of December, Huishi Yin defended her PhD on “Using a Kano-like Model to Facilitate Open Innovation in Requirements Engineering” which combines a well-known approach to enhance satisfaction of software users, the Kano model, with modern approaches to gather information from online data sources to facilitate open innovation in the context of software […]

On 26 May 2019, the paper “What are Hybrid Development Methods Made of? An Evidence-based Characterization” won the ACM SIGSOFT Distinguished Paper Award at the International Conference on Software and Systems Process (ICSSP 2019) in Montreal, Canada. ICSSP is an A-category international conference co-located with the premier conference in the field of software engineering worldwide, […]

On 31st of May, the paper on Going Farther Together: The Impact of Social Capital on Sustained Participation in Open Source won the ACM SIGSOFT Distinguished Paper Award at the 41st ACM/IEEE International Conference on Software Engineering.The conference is the premier conference in the field of software engineering world wide and they give out these […]

On the 26th of May, Irene Teinemaa defended her PhD on “Predictive and prescriptive monitoring of business process outcomes“, in which she addresses the question on how to train, evaluate and use predictive models for outcome-oriented predictive process monitoring. Every day, we are involved in various business processes. For instance, when booking a hotel, applying […]

Noored Koodi meeskond korraldas 16. veebruaril juba teise IT-alase võistluse, kus osales kokku üle 45 õpilase üle Eesti. Päeva jooksul said osalejad end proovile panna virtuaalreaalsuses, programmeerimiskeele Python tundmises, algoritmikas ja veebilehe loomisel. Üritusel külastati virtuaalreaalsuse laborit. Päev algas võistluse korraldaja Magnar Varese tervitussõnade ja projektijuhi Heilo Altini ning Magnari tutvustusega sellest, kuidas nad IT valdkonda […]

Institute of Computer Science PhD student Ilya Verenich defended his thesis on February 11. Here is an overview of his work.  Context. Modern enterprise systems collect a lot of data about the execution of the business processes they support. The widespread availability of such data in companies, combined with advances in machine learning, have led […]