activity
20022025
most citedA deep tree-based model for software defect prediction

100 citations · 233 across the 15 of their papers we have counts for

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Showing cs.SEShow all

11 papers · 1 filter

cs.SE2021★ 1 cited

Engineering Blockchain Based Software Systems: Foundations, Survey, and Future Directions

Mahdi Fahmideh, John Grundy, Aakash Ahmed +8

Many scientific and practical areas have shown increasing interest in reaping the benefits of blockchain technology to empower software systems. However, the unique characteristics…

cs.SE2021

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…

cs.SE2021★ 2 cited

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…

cs.SE2018★ 17 cited

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…

cs.SE2018★ 100 cited

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…

cs.SE2018

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…

cs.SE2017★ 88 cited

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…

cs.SE2016

A deep learning model for estimating story points

Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran +3

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 project…

cs.SE2016★ 4 cited

DeepSoft: A vision for a deep model of software

Hoa Khanh Dam, Truyen Tran, John Grundy +1

Although software analytics has experienced rapid growth as a research area, it has not yet reached its full potential for wide industrial adoption. Most of the existing work in so…

cs.SE2015★ 8 cited

Extracting State Transition Models from i* Models

Novarun Deb, Nabendu Chaki, Aditya Ghose

i* models are inherently sequence agnostic. There is an immediate need to bridge the gap between such a sequence agnostic model and an industry implemented process modelling standa…

cs.SE2014★ 7 cited

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…