Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

Digital Library


Advanced Modeling of Teaming Data to Enable Superior Team Performance

  • This presentation was created for a conference series or symposium and does not necessarily reflect the positions and views of the Software Engineering Institute.
  • Abstract

    This TSP Symposium 2014 presentation describes periodic team survey data collection initiated at Hill Air Logistics Complex during 2014 that was analyzed and modeled using traditional statistical analysis and modern structural equation modeling (SEM). Results of the analysis and SEM will demonstrate how team performance may be enhanced through a focus on key team strengths and weaknesses associated with team practices discussed in TSP: Leading a Development Team, by Watts Humphrey. The authors seek to show the practicality of collecting such practice data and combining it with existing TSP data to reduce barriers to successfully implementing stronger team practices and achieving more sustainable team performance.

  • Slides