INESC TEC
INESC TEC
INESC TEC
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João Carlos Pascoal Faria

João Carlos Pascoal Faria

João Pascoal Faria holds a PhD in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto in 1999, where he is currently Associate Professor at the Department of Informatics Engineering and Director of the Integrated Master in Informatics and Computing Engineering (MIEIC). He his a member of the Software Engineering Research Group (softeng.fe.up.pt) and researcher at INESC TEC, where he coordinates the Software Engineering area. He represents FEUP and INESC TEC in the Technical Comission for Health Informatics (CT 199) and FEUP as President of the Sectorial Comission for the Quality of Information and Communications Technology (CS/03), in the scope of the Portuguese Quality Institute (IPQ). In the past, he worked with several software companies (Novabase Saúde, Sidereus, Medidata) and was a co-founder of two other (Qualisoft and Strongstep). He has more than 25 years of experience in education, research, development and consultancy in several software engineering areas. He is the main author of a rapid application development tool (SAGA), based on domain specific languages, with more than 25 years of market presence and evolution (1989-present). He is currently involved in research projects, supervisions and consulting activities in the areas of model-based testing, software process improvement and model-driven development.

Publications

Report from the 14th International Workshop on Automating Test Case Design, Selection, and Evaluation (A-TEST 2023)

Faria, JP;Verbeek, F;Fasolino, AR;

2024

ACM SIGSOFT Softw. Eng. Notes

Towards Computer Assisted Compliance Assessment in the Development of Software as a Medical Device

Farshid, S;Lima, B;Faria, JP;

2023

Proceedings of the 18th International Conference on Software Technologies, ICSOFT 2023, Rome, Italy, July 10-12, 2023.

Case Studies of Development of Verified Programs with Dafny for Accessibility Assessment

Faria, JP;Abreu, R;

2023

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Applying Machine Learning to Estimate the Effort and Duration of Individual Tasks in Software Projects

Sousa, AO;Veloso, DT;Goncalves, HM;Faria, JP;Mendes Moreira, J;Graca, R;Gomes, D;Castro, RN;Henriques, PC;

2023

IEEE ACCESS

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Supervised theses

Dispositivos “Low-Cost” para aplicações em espectroscopia de biofluídos

Bruno Albino da Silva Rafael

UP-FEUP