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A Proposal for Improving Project Coordination using Data Mining and Proximity Tracking

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Author

Summary, in English

Coordination is an important success factor for a development project. Communication gaps, e.g. between product owners shaping the requirements and testers verifying the developed software can result in wasted effort and unsuccessful products. We propose improving the communication between project members with recommendations of whom to interact with and what to discuss based on link prediction in multi-layered proximity-based social graphs based on data mined from project repositories. We plan to explore and validate these ideas through prototyping and by applying a design-science approach in collaboration with an industrial partner.

Publishing year

2016

Language

English

Publication/Series

CEUR Workshop Proceedings

Volume

1564

Document type

Conference paper

Publisher

CEUR-WS

Topic

  • Other Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • machine learning
  • social networks
  • data mining
  • communication

Conference name

REFSQ-2016 Workshops, co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2016

Conference date

2016-03-14

Conference place

Gothenburg, Sweden

Status

Published