Details
Original language | English |
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Title of host publication | 2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013 - Proceedings |
Pages | 153-156 |
Number of pages | 4 |
Publication status | Published - 2013 |
Event | 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013 - San Francisco, CA, United States Duration: 25 May 2013 → 25 May 2013 |
Publication series
Name | 2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013 - Proceedings |
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Abstract
Meetings are hot spots of communication and collaboration in software development teams. Both distributed and co-located teams need to meet for coordination, communication, and collaboration. It is difficult to assess the quality of these three crucial aspects, or the social effectiveness and impact of a meeting: Personalities, psychological and professional aspects interact. It is, therefore, challenging to identify emerging communication problems or to improve collaboration by studying a wealth of interrelated details of project meetings. However, it is relatively easy to count meetings, and to measure when and how long they took place. This is objective information, does not violate privacy of participants, and the data might even be retrieved from project calendars automatically. In an exploratory study, we observed 14 student teams working on comparable four-month projects. Among many other aspects, we counted and measured meetings. In this contribution, we compare the meeting profiles qualitatively, and derive a number of hypotheses relevant for software projects.
Keywords
- meeting culture, software development, team communication
ASJC Scopus subject areas
- Computer Science(all)
- Software
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2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013 - Proceedings. 2013. p. 153-156 6614754 (2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013 - Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Meeting intensity as an indicator for project pressure
T2 - 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013
AU - Liskin, Olga
AU - Schneider, Kurt
AU - Kiesling, Stephan
AU - Kauffeld, Simone
PY - 2013
Y1 - 2013
N2 - Meetings are hot spots of communication and collaboration in software development teams. Both distributed and co-located teams need to meet for coordination, communication, and collaboration. It is difficult to assess the quality of these three crucial aspects, or the social effectiveness and impact of a meeting: Personalities, psychological and professional aspects interact. It is, therefore, challenging to identify emerging communication problems or to improve collaboration by studying a wealth of interrelated details of project meetings. However, it is relatively easy to count meetings, and to measure when and how long they took place. This is objective information, does not violate privacy of participants, and the data might even be retrieved from project calendars automatically. In an exploratory study, we observed 14 student teams working on comparable four-month projects. Among many other aspects, we counted and measured meetings. In this contribution, we compare the meeting profiles qualitatively, and derive a number of hypotheses relevant for software projects.
AB - Meetings are hot spots of communication and collaboration in software development teams. Both distributed and co-located teams need to meet for coordination, communication, and collaboration. It is difficult to assess the quality of these three crucial aspects, or the social effectiveness and impact of a meeting: Personalities, psychological and professional aspects interact. It is, therefore, challenging to identify emerging communication problems or to improve collaboration by studying a wealth of interrelated details of project meetings. However, it is relatively easy to count meetings, and to measure when and how long they took place. This is objective information, does not violate privacy of participants, and the data might even be retrieved from project calendars automatically. In an exploratory study, we observed 14 student teams working on comparable four-month projects. Among many other aspects, we counted and measured meetings. In this contribution, we compare the meeting profiles qualitatively, and derive a number of hypotheses relevant for software projects.
KW - meeting culture
KW - software development
KW - team communication
UR - http://www.scopus.com/inward/record.url?scp=84886817014&partnerID=8YFLogxK
U2 - 10.1109/CHASE.2013.6614754
DO - 10.1109/CHASE.2013.6614754
M3 - Conference contribution
AN - SCOPUS:84886817014
SN - 9781467362900
T3 - 2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013 - Proceedings
SP - 153
EP - 156
BT - 2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering, CHASE 2013 - Proceedings
Y2 - 25 May 2013 through 25 May 2013
ER -