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Effects of cohesion-based feedback on the collaborations in global software development teams

• Alberto Castro-Hernández, Kathleen M. Swigger, Mirna P. Ponce-Flores
• 10th IEEE International Conference on…
• 2014

This paper describes a study that examines the effect of cohesion-based feedback on a team members' behaviors in a global software development project. Chat messages and forum posts were collected… (More)

Classification of Group Potency Levels of Software Development Student Teams

• Alberto Castro-Hernández, Kathleen M. Swigger, Fatma Cemile Serçe, Victor Lopez Cabrera
• Polibits
• 2015

This paper describes the use of an automatic classifier to model group potency levels within software development projects. A set of machine learning experiments that looked at different group… (More)

Measures for Predicting Task Cohesion in a Global Collaborative Learning Environment

• Alberto Castro-Hernández, Kathleen M. Swigger, Mirna P. Ponce-Flores, David Terán Villanueva
• 2016 IEEE 11th International Conference on Global…
• 2016

This paper describes a study that compared a number of interaction-based measures and their ability to predict cohesion within global software development projects. Messages were collected from three… (More)

Content and Temporal Analysis of Communications to Predict Task Cohesion in Software Development Global Teams

• Alberto Castro-Hernández
• 2016 IEEE 11th International Conference on Global…
• 2016

This dissertation proposal describes a study of interaction-based measures and their ability to predict cohesion within global software development projects. Messages were collected from six software… (More)

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