Using data analytics for collaboration patterns in distributed software team simulations

Download

Date

2016-08-05

Author

Dafoulas, Georgios A.
Serce, Fatma C.
SWİGGER, Kathleen
BRAZİLE, Robert
Alpaslan, Ferda Nur
Alpaslan, Ferda Nur
Milewski, Allen

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

51
views

0
downloads

This paper discusses how previous work on global software development learning teams is extended with the introduction of data analytics. The work is based on several years of studying student teams working in distributed software team simulations. The scope of this paper is twofold. First it demonstrates how data analytics can be used for the analysis of collaboration between members of distributed software teams. Second it describes the development of a dashboard to be used for the visualization of various types of information in relation to Global Software Development (GSD). Due to the nature of this work, and the need for continuous pilot studies, simulations of distributed software teams have been created with the participation of learners from a number of institutions. This paper discusses two pilot studies with the participation of six institutions from two different countries.

Subject Keywords

Software, Software engineering, Teamwork, Focusing, Data analysis, Virtual group

URI

https://hdl.handle.net/11511/35313

DOI

https://doi.org/10.1109/icgsew.2016.15

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

An Agile business process software development methodology Çulha, Davut; Doğru, Ali Hikmet; Department of Computer Engineering (2014) An agile business process software development methodology is proposed, developed and tested in this research. To speed up the business process software development practices in the organization and to address the requirements more efficiently, an agile approach was adapted. Two new processes were developed using the new methodology. The improvement was assessed by utilizing nine older developments: A formula was developed in this research that estimates the development efforts for old business process soft...
A process assessment model for big data analytics Gökalp, Ebru; Gökalp, Mert Onuralp; Kayabay, Kerem; Gökalp, Selin; Koçyiğit, Altan; Eren, Pekin Erhan (2022-03-01) Big data analytics (BDA) grasp the potential of generating valuable insights and empowering businesses to support their strategic decision-making. However, although organizations are aware of BDAs’ potential opportunities, they face challenges to satisfy the BDA-specific processes and integrate them into their daily software development lifecycle. Process capability/ maturity assessment models are used to assist organizations in assessing and realizing the value of emerging capabilities and technologies. Ho...
A systematic study of probabilistic aggregation strategies in swarm robotic systems Soysal, Onur; Şahin, Erol; Department of Computer Engineering (2005) In this study, a systematic analysis of probabilistic aggregation strategies in swarm robotic systems is presented. A generic aggregation behavior is proposed as a combination of four basic behaviors: obstacle avoidance, approach, repel, and wait. The latter three basic behaviors are combined using a three-state finite state machine with two probabilistic transitions among them. Two different metrics were used to compare performance of strategies. Through systematic experiments, how the aggregation performa...
Using collaboration diagrams in component oriented modelin Tuncel, Mehmet Burhan; Doğru, Ali Hikmet; Department of Computer Engineering (2006) Component Oriented Software Engineering (COSE) seems to be the future of software engineering. Currently, COSEML is the only modeling language that completely supports the COSE approach. Abstract decomposition of the system and their representing components are shown in a hierarchy diagram to support the COSE process model. In COSEML, only static modeling is supported through this single diagram. However, software is about behavior and static modeling is not sufficient to describe the system. The aim of thi...
Modelling and predicting binding affinity of PCP-like compounds using machine learning methods Erdaş, Özlem; Alpaslan, Ferda Nur; Department of Computer Engineering (2007) Machine learning methods have been promising tools in science and engineering fields. The use of these methods in chemistry and drug design has advanced after 1990s. In this study, molecular electrostatic potential (MEP) surfaces of PCP-like compounds are modelled and visualized in order to extract features which will be used in predicting binding affinity. In modelling, Cartesian coordinates of MEP surface points are mapped onto a spherical self-organizing map. Resulting maps are visualized by using values...

Citation Formats

G. A. Dafoulas et al., “Using data analytics for collaboration patterns in distributed software team simulations,” 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35313.