Dimitris Tsoukalas

Research Associate at CERTH/ITI - PhD Student at UoM

[Dimitris Tsoukalas @tsoukaldim]

@NVIDIAGeForce #007FirstLightRTX

[Dimitris Tsoukalas @tsoukaldim]

So excited to share that our paper "Machine Learning for Technical Debt Identification" has been accepted for publication in IEEE Transactions on Software Engineering @IEEEXplore
Congrats to all the co-authors!
Paper is now available online:

[Alexander Chatzigeorgiou @AChatzigeorgiou]

Which tool shall I trust for Technical Debt identification? Different rulesets yield different results. Lack of ground truth hinders practice and research. ML to the rescue! Read how in our recent article led by @tsoukaldim https://t.co/OTLn1mFUXg

[SDK4ED @SDK4ED]

Great teams produce great results!
Final review successfully finished!
Special thanks to everyone involved.
✅ 11 Partners
✅ 7 Countries
✅ 3 Years of hard work
✅ 59 Publications
Congratulations to all!
#sdk4ed #HorizonEU
#HorizonEurope #horizon2020

[Miltiadis Siavvas @siavvasm]

Is there any relationship between Technical Debt (TD) and Software Security? Can TD indicators be also used as indicators of software security risks? If you want to learn more about these questions, check our recently published paper: ➡️ https://t.co/lYGQpStPfz

[Journal of Systems and Software @JSSoftware]

What if you could model and predict the evolution of technical debt? Today’s #paperoftheday by @tsoukaldim, @DionKeh, @siavvasm, and @AChatzigeorgiou investigates ML methods for technical debt forecasting.

https://t.co/Jj1UT3xizq

[Miltiadis Siavvas @siavvasm]

Excited to share that our paper about #Vulnerability_Prediction using #DeepLearning that was presented @ICCSA2020 received a Best Paper Award! Kudos to the co-authors @kalouptsoglou, @tsoukaldim and @DionKeh for their hard work! This work is part of the #SDK4ED #H2020 Project.

[Dimitris Tsoukalas @tsoukaldim]

So excited to share that our paper "Technical debt forecasting: An empirical study on open-source repositories" has been accepted for publication in @JSSoftware! Congrats to the co-authors @DionKeh, @siavvasm, and @AChatzigeorgiou. Paper available online: https://t.co/5sVT3qU1zn

[MOVESMART FP7 @movesmartfp7]

Watch the MOVESMART app video
https://t.co/3wqjbuSIAf