In various product developments, group work is commonplace. Members gather into "project" groups for purpose of making products. The members have various levels of task maturity; experts and novices. The project capability is established through a complex mixing of individual members' abilities. The simple sum total of the members' abilities as individuals is not necessarily equal to the whole project capability. It is difficult to for managers predict the project capability. A new management model is therefore proposed. The model is based on communication among members. A basic idea of the model is that good communication results in high quality products. In the model, communication logs are analyzed by vector space models for calculating similarity between communication logs, and clustering algorithm for classifying the communication logs into every same topic. The size of clusters which are generated by the model indicates project capability. After the management model has been evaluated by small-scale experiments, the model has been adapted to large-scale projects. As a result, the large-scale projects' features have been clarified using the analysis results of the model.
[1]
Bernd Brügge,et al.
Communication Metrics for Software Development
,
1998,
IEEE Trans. Software Eng..
[2]
Deborah G. . Ancona,et al.
Bridging the Boundary: External Activity and Performance in Organizational Teams.
,
1992
.
[3]
Atsushi Ohnishi.
Visual Software Requirementw Specification Technique Based on Communication Model
,
2002
.
[4]
Toni L. Doolen,et al.
The impact of organizational context on work team effectiveness: a study of production team
,
2003,
IEEE Trans. Engineering Management.
[5]
G. W. Snedecor.
Statistical Methods
,
1964
.
[6]
R. Katz,et al.
An Investigation into the Managerial Roles and Career Paths of Gatekeepers and Project Supervisors in a Major R&D Facility : R&D Management
,
2011
.
[7]
E. Hippel,et al.
Lead users: a source of novel product concepts
,
1986
.
[8]
Pierre N. Robillard,et al.
Empirical study of exchange patterns during software peer review meetings
,
2002,
Inf. Softw. Technol..