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ICGSE 2018
Sun 27 - Tue 29 May 2018 Gothenburg, Sweden
co-located with * ICSE 2018 *

In a large sized project with globally distributed environment, it is challenging to have an information radiator which is common across all the demographic locations. Different time zones make it difficult to collaborate and cater to a customer who demands frequent releases and transparency. This paper demonstrates a unique solution driven by a novel mix of digitization and machine learning to solve this classical problem.

Value stream mapping helped us to identify valueless paths in task assignment and hence the team developed a tool backed with machine learning which saved huge time, helping us to deliver our concepts faster to market. We took help of digital dash board, and came up with custom unconventional dash boards, which helped our customer to understand and collaborate better with the development team located in different time zones.

This paper proposes further extensions to machine learning in project management. Improvements can be brought about in areas task estimation and assignments, velocity or turnaround time prediction.

This paper is targeted to agile practitioners who are interested in improving workflows and building intelligent process systems using new modern technologies in globally distributed environment. This modern approach reduces waste and brings in collaboration irrespective of the demography.

Mon 28 May
Times are displayed in time zone: (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

14:00 - 15:30: ICGSE 2018 - Communication and Collaboration in Distributed Projects at E2 room
Chair(s): Filippo LanubileUniversity of Bari
icgse-2018-ICGSE-201814:00 - 14:15
Research paper
Miguel Botto TobarEindhoven University of Technology, Weslley Silva TorresEindhoven University of Technology, The Netherlands, Angela LozanoHealthConnect, Mark van den BrandEindhoven University of Technology, The Netherlands, Bogdan VasilescuCarnegie Mellon University, Alexander SerebrenikEindhoven University of Technology
DOI Pre-print
icgse-2018-ICGSE-201814:15 - 14:30
Experience report
Moritz MarutschkeRitsumeikan University, Victor KryssanovRitsumeikan University, Patricia BrockmannTechnical University Nuremberg
icgse-2018-ICGSE-201814:30 - 14:45
Experience report
Prabhulinga ManikreddySiemens Technology and Services Pvt Ltd, Jaikrishna IyerSiemens Technology and Services Pvt Ltd
icgse-2018-ICGSE-201814:45 - 15:00
Experience report
Marcia CostaSamsung Research Center Brazil, Gizelle LemosSamsung Research Center Brazil, Flavio BeckSamsung Research Center Brazil
icgse-2018-ICGSE-201815:00 - 15:15
Industry talk
Mateusz KapicaBanedanmark, Denmark (Copenhagen)
icgse-2018-ICGSE-201815:15 - 15:30