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 […]

Dietmar Pfahl, Professor of Software Engineering, co-authored the article “Synergies between Education, Training, and Research: How the Institute of Computer Science does Industry-Relevant Research in Software Engineering”. Doing industry-relevant research is the mission of the Institute of Computer Science at the University of Tartu. This new publication in one of the top-notch software engineering journals […]

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 the 6th of June 2019, the paper “D2IA: Stream Analytics on User-Defined Event Intervals” won the best paper award in the 31st International Conference on Advanced Information Systems Engineering (CAiSE’19), which was written by Ahmed Awad, Riccardo Tommasini, Mahmoud Kamel, Emanuele Della Valle and Sherif Sakr. CAiSE is one of the oldest and top […]

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 […]

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 […]