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

Bjarnason, Elizabeth LU orcid and Jonsson, Håkan LU (2016) REFSQ-2016 Workshops, co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2016 1564.
Abstract
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.
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
machine learning, social networks, data mining, communication
host publication
CEUR Workshop Proceedings
volume
1564
pages
6 pages
publisher
CEUR-WS
conference name
REFSQ-2016 Workshops, co-located with the 22nd International Conference on Requirements Engineering: Foundation for Software Quality, REFSQ 2016
conference location
Gothenburg, Sweden
conference dates
2016-03-14
external identifiers
  • scopus:84964583083
language
English
LU publication?
yes
id
f31da5d7-fa42-4ac6-94c7-01524bbe5062 (old id 8771369)
alternative location
http://ceur-ws.org/Vol-1564/paper18.pdf
date added to LUP
2016-04-04 13:42:10
date last changed
2023-09-06 18:00:27
@inproceedings{f31da5d7-fa42-4ac6-94c7-01524bbe5062,
  abstract     = {{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.}},
  author       = {{Bjarnason, Elizabeth and Jonsson, Håkan}},
  booktitle    = {{CEUR Workshop Proceedings}},
  keywords     = {{machine learning; social networks; data mining; communication}},
  language     = {{eng}},
  publisher    = {{CEUR-WS}},
  title        = {{A Proposal for Improving Project Coordination using Data Mining and Proximity Tracking}},
  url          = {{http://ceur-ws.org/Vol-1564/paper18.pdf}},
  volume       = {{1564}},
  year         = {{2016}},
}