The field of business process automation and software engineering is rapidly evolving, with a growing focus on digital automation and improving business processes. Recent research has highlighted the need for a more comprehensive understanding of business process automation, beyond just Robotic Process Automation, and has proposed novel frameworks and methodologies for assessing the desirability of process deviations and optimizing the use of process automation.

Notable contributions include the development of procedural frameworks for assessing deviation desirability, effective engagement models between technology and process participants, and research on the value of mindfulness-based stress reduction programs in the software development context.

Some papers are particularly noteworthy, including 'Towards a Theory on Process Automation Effects' which proposes an effective engagement model between technology and process participants, and 'Towards Improved Research Methodologies for Industrial AI' which identifies shortcomings in current AI research methodologies and argues for the necessity of requirement-aware metrics and clear definitions of success criteria.