Venue

Location of the Conference Venue

PROFES 2019 will be held in the North Campus of the Technical University of Barcelona (https://www.upc.edu)

Polytechnic University of Catalonia, Nord Campus

Carrer de Jordi Girona, 1, 3, 08034 Barcelona

How to Reach the Venue

– From the city centre:

  • By metro: There are two stations near to the North Campus, “Zona Universitària” (Line 3 and Line 9) and “Palau Reial” (Line 3). Both stations are at about 10 minutes walking distance of the venue but Palau Reial is preferable except if you come from the airport (see below). Line 3 connects the Campus to several points of the city centre (Liceu, Catalunya, Passeig de Gràcia and Diagonal stations). For details please visit TMB website http://www.tmb.cat/en/home
  • By bus: There are many bus lines around the Campus (7, 33, 67,…) as well as some trams. For details on lines and stops please visit TMB website http://www.tmb.cat/en/home

– From the airport:

  • By metro: Take the L9S metro line. The frequency is every 7 minutes. It takes around 30 minutes to reach “Zona Universitària” station, and from there you can walk to the conference venue (10 ­minute walk).
  • By taxi: Barcelona taxis (yellow & black) are available at the arrival terminals. A taxi ride to North Campus costs around 25 €

The best way of transportation in Barcelona is the metro. The single ticket costs 2€. The ‘T10‘ is multi-personal and valid for 10 trips and its price is around 10€. The tickets can be bought inside the metro stations, in the automatic machines (English language and credit card accepted). However the T10 ticket cannot be used for the metro stops Aeroport T1 and Aeroport T2. You would need to buy a special Airport metro ticket if you want to use the metro to get to and from Barcelona airport.

For more information about public transportation, you may check the TMB website http://www.tmb.cat/en/home 

Rooms

PlnolCampusNord_2019_99

T1: Tutorial 1 – DevOps practices
T3: Tutorial 2 – Benefitting from Grey Literature in Software Engineering Research
T4: Tutorial 4 – Hands-on data preparation