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Author Marshall, A. ♦ Gamble, R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Social sciences ♦ Education ♦ Technology ♦ Engineering & allied operations
Subject Keyword Social network services ♦ Peer-to-peer computing ♦ Software engineering ♦ Atmospheric measurements ♦ Particle measurements ♦ Indexes ♦ centrality ♦ Computer science education ♦ agile software development ♦ collaborative work ♦ social network analysis
Abstract Agile software development teams are generally small, focused groups that require highly motivated members operating in a high-trust environment. Through interactive communication and collaborative work, team members can influence project outcomes both directly and indirectly. One method to examine influence is in terms of communication and control flow among team members when sharing a communication medium and artifact development tools. There currently exist several approaches for characterizing team communication using social network analysis. However, these approaches require modification to be applicable for measuring control flow influence in small teams. In this paper, we discuss the methodology and results of an influence study in which we analyze data generated by student teams in a capstone Software Engineering course. We develop three metrics to measure direct and indirect influence among team members, taking into account the temporal order of interactions and the small size of the teams studied. We correlate the influence metrics with grades, existing participation metrics, and team evaluation scores. The results suggest that our influence metrics correlate to a team member's perceived role on the team, measures of team communication and levels of task performance. This suggests that instructors can recognize the levels of influence exerted by team members by examining team communication and control flow, allowing for mediation prior to product development milestones.
Description Author affiliation: Tandy Sch. of Comput. Sci., Univ. of Tulsa, Tulsa, OK, USA (Marshall, A.; Gamble, R.)
ISBN 9781479984541
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-10-21
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 1.64 MB
Page Count 8
Starting Page 1
Ending Page 8


Source: IEEE Xplore Digital Library