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Found 10 papers, 2 papers with code
Towards Knowledge-Centric Process Mining
Process analytic approaches play a critical role in supporting the practice of business process management and continuous process improvement by leveraging process-related data to identify performance bottlenecks, extracting insights about reducing costs and optimizing the utilization of available resources.
Human Values in Software Release Planning
To address this, we have proposed an Integer Programming approach to considering human values in software release planning.
Fairness
Software Engineering
On Conforming and Conflicting Values
They are distinguished by the fact that the latter in some sense can be thought of as being independent of actions.
A Value-based Trust Assessment Model for Multi-agent Systems
It is based on the trustor's past observations of the behaviour of the trustee and requires no knowledge of the inner-workings of the trustee.
Towards effective AI-powered agile project management
The rise of Artificial intelligence (AI) has the potential to significantly transform the practice of project management.
A deep tree-based model for software defect prediction
Defects are common in software systems and can potentially cause various problems to software users.
Software Engineering
DeepProcess: Supporting business process execution using a MANN-based recommender system
Process-aware Recommender systems can provide critical decision support functionality to aid business process execution by recommending what actions to take next.
Automatic feature learning for vulnerability prediction
Code flaws or vulnerabilities are prevalent in software systems and can potentially cause a variety of problems including deadlock, information loss, or system failure.
Software Engineering
A deep learning model for estimating story points
Although there has been substantial research in software analytics for effort estimation in traditional software projects, little work has been done for estimation in agile projects, especially estimating user stories or issues.
DeepSoft: A vision for a deep model of software
Although software analytics has experienced rapid growth as a research area, it has not yet reached its full potential for wide industrial adoption.
