100 citations · 294 across the 16 of their papers we have counts for
11 papers · 1 filter
Towards autonomous normative multi-agent systems for Human-AI software engineering teams
Hoa Khanh Dam, Geeta Mahala, Rashina Hoda +2
This paper envisions a transformative paradigm in software engineering, where Artificial Intelligence, embodied in fully autonomous agents, becomes the primary driver of the core s…
Interactive GDPR-Compliant Privacy Policy Generation for Software Applications
Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Omar Haggag +1
Software applications are designed to assist users in conducting a wide range of tasks or interactions. They have become prevalent and play an integral part in people's lives in th…
Quantum Software Analytics: Opportunities and Challenges
Thong Hoang, Hoa Khanh Dam, Tingting Bi +5
Quantum computing systems depend on the principles of quantum mechanics to perform multiple challenging tasks more efficiently than their classical counterparts. In classical softw…
Human Values in Software Release Planning
Davoud Mougouei, Aditya Ghose, Hoa Dam +1
Software products have become an integral part of human lives, and therefore need to account for human values such as privacy, fairness, and equality. Ignoring human values in soft…
A Taxonomy for Mining and Classifying Privacy Requirements in Issue Reports
Pattaraporn Sangaroonsilp, Hoa Khanh Dam, Morakot Choetkiertikul +2
Context: Digital and physical trails of user activities are collected over the use of software applications and systems. As software becomes ubiquitous, protecting user privacy has…
Towards effective AI-powered agile project management
Hoa Khanh Dam, Truyen Tran, John Grundy +2
The rise of Artificial intelligence (AI) has the potential to significantly transform the practice of project management. Project management has a large socio-technical element wit…
A deep tree-based model for software defect prediction
Hoa Khanh Dam, Trang Pham, Shien Wee Ng +5
Defects are common in software systems and can potentially cause various problems to software users. Different methods have been developed to quickly predict the most likely locati…
Explainable Software Analytics
Hoa Khanh Dam, Truyen Tran, Aditya Ghose
Software analytics has been the subject of considerable recent attention but is yet to receive significant industry traction. One of the key reasons is that software practitioners…
Automatic feature learning for vulnerability prediction
Hoa Khanh Dam, Truyen Tran, Trang Pham +3
Code flaws or vulnerabilities are prevalent in software systems and can potentially cause a variety of problems including deadlock, information loss, or system failure. A variety o…
A deep language model for software code
Hoa Khanh Dam, Truyen Tran, Trang Pham
Existing language models such as n-grams for software code often fail to capture a long context where dependent code elements scatter far apart. In this paper, we propose a novel a…
Towards rational and minimal change propagation in model evolution
Hoa Khanh Dam, Aditya Ghose
A critical issue in the evolution of software models is change propagation: given a primary change that is made to a model in order to meet a new or changed requirement, what addit…