INTUITESTBEDS 2020
Wed 28 Oct 2020 Porto, Portugal
co-located with ICST 2020

This program is tentative and subject to change.

Wed 28 Oct 2020 10:10 - 10:40 at São João - Session I

The Agile and DevOps transformation of software development practices enhances the need for increased automation of functional testing, especially for regression testing. This poses challenges both in the effort that needs to be devoted to the creation and maintenance of automated test scripts, and in their relevance (i.e. their alignment with business needs). Test automation is still difficult to implement and maintain and the return on investment comes late while projects tend to be short. In this context, we have experimented a lightweight model-based test automation approach to address both productivity and relevance challenges. It integrates test automation through a simple process and tool-chain experimented on large IT projects.

This program is tentative and subject to change.

Wed 28 Oct
Times are displayed in time zone: (GMT) Greenwich Mean Time : Lisbon change

09:00 - 11:10: Session IINTUITESTBEDS 2020 at São João
09:00 - 09:10
Day opening
INTUITESTBEDS 2020
09:10 - 09:40
Full-paper
INTUITESTBEDS 2020
Riccardo CoppolaPolitecnico di Torino, Luca ArditoPolitecnico di Torino, Marco TorchianoPolitecnico di Torino, Emil AlégrothBlekinge Institute of Technology
Link to publication DOI
09:40 - 10:10
Full-paper
INTUITESTBEDS 2020
Bestoun S. AhmedKarlstad University, Angelo GargantiniUniversity of Bergamo, Miroslav BuresCzech Technical University in Prague
Link to publication DOI
10:10 - 10:40
Full-paper
INTUITESTBEDS 2020
Elodie BernardFEMTO-ST Institute, Univ. Bourgogne Franche-Comté, Sogeti, Fabrice AmbertFEMTO-ST Institute, Bruno LegeardFEMTO-ST / DISC
Link to publication DOI
10:40 - 11:10
Full-paper
INTUITESTBEDS 2020
Alexandre CannyICS-IRIT, Université Toulouse III Paul Sabatier, Philippe PalanqueICS-IRIT, Université Toulouse III Paul Sabatier, David NavarreICS-IRIT, Université Toulouse III Paul Sabatier
Link to publication DOI