The 25th International Conference on Product-Focused Software Process Improvement (PROFES) took place in Tartu from December 2–4, 2024. The conference brought more than 50 internationally renowned researchers and industry practitioners to Tartu, for interesting talks and discussions. Most participants came from Europe, mainly from Austria, Finland, Germany, Italy, Spain, and Sweden, but there were also participants from […]

Protests and conflicts have become influential forces for bringing about change and shaping the political and social landscapes not only on a local demographic level but also on a global scale. In the modern Internet and online social media era, protests have increasingly utilized digital platforms to facilitate discussions, coordinate actions, and spread respective agendas. […]

You can find out more about Kristiina Rahkema’s PhD thesis in English here.  Nutitelefonidest on saanud meie elu lahutamatu osa. Iga asja jaoks on olemas äpp: sõnumite saatmiseks, internetipanga külastuseks, auto lukust avamiseks. Kahjuks on paljud neist rakendustest ebaturvalised. Turvavigu on avastatud sellistes rakendustes nagu Facebook, TikTok ja WhatsApp. Nende turvavigade raskusaste võib ulatuda andmelekkest […]

With the development of Online Social Media (OSM) platforms like Twitter and Facebook, the way individuals connect and exchange information has changed dramatically. These platforms have, however, also led to the problem of misinformation, which can quickly spread on a global scale, and once it has been disseminated, it can be hard to stop. It […]

Data privacy has become trending, and nowadays, people are talking more and more about it. With process mining, privacy becomes more relevant. Because process mining makes it easier to expose the actual business reality. With automatic process discovery, we can reverse engineer the activities that have been performed within the organization and the hand-offs between […]

Machine Translation is a quickly growing field of Natural Language Processing (NLP) that automatically translates a text from one language to another without human involvement.  In recent years, the use of machine translation systems has increased dramatically. Today machine translation is used not only by translation agencies but also by people using online machine translation […]

Nowadays, a vast majority of business processes involve many tedious and repetitive tasks, for example transferring data across multiple systems or transforming data from one format to another. These tasks are time-consuming, error-prone, and by themselves do not bring much value to the underlying processes. Their automation can bring many benefits such as error-rate reduction, […]

Modern organizations must constantly adjust their business processes in order to adapt to internal and external changes, such as new competitors, new regulations, customer expectations, or strategic objectives. For example, due to a pandemic, a retailer might experience a 50% increase in their number of online orders; however, during the same time, their volume of […]

We are happy to share the great news that the paper “Designing Corporate Hackathons With a Purpose: The Future of Software Development” co-authored by our Associate Professor Alexander Nolte with colleagues from Carnegie Mellon University, Github and Microsoft was named as the Runner-up for the 2019 Best Paper Award from IEEE Software by the IEEE […]

On September 25, Orlenys López Pintado defended his PhD thesis „Collaborative Business Process Execution on the Blockchain: The Caterpillar System“. In his thesis, Orlenys addressed the problem of automating the execution of collaborative business processes on top of blockchain technology in a way that takes advantage of the trust-enhancing capabilities of this technology while offering […]

On March 23, Adriano Augusto defended his PhD thesis „Accurate and efficient discovery of process models from event logs„ in which he provided an overview of the available algorithms to perform automated process discovery. They identified deficiencies in existing algorithms, and proposed a new algorithm, called Split Miner, which is faster and consistently discovers more […]

On the 21st of February, Faiz Ali Shah defended his PhD thesis on “Extracting information from app reviews to facilitate software development activities” which evaluates the existing Text Mining techniques for extracting developer-relevant information from app reviews at different levels of granularity, and then combined these techniques to develop a tool REVSUM for competitive analysis. […]