TY - JOUR
T1 - Performance Evaluation of Software Development Teams
T2 - A Practical Case Study
AU - Fernandes, Paulo
AU - Sales, Afonso
AU - Santos, Alan R.
AU - Webber, Thais
N1 - Funding Information:
1 Authors receive financial support provided by PUCRS-Petrobras (Conv. 0050.0048664.09.9). 2 Corresponding author. The order of authors is alphabetical. 3 Paulo Fernandes is also funded by CNPq-Brazil (PQ 307284/2010-7). 4 Afonso Sales receives grants from CAPES-Brazil (PNPD 02388/09-0). 5 [email protected] 6 [email protected] 7 [email protected] 8 [email protected]
Copyright:
Copyright 2011 Elsevier B.V., All rights reserved.
PY - 2011/9/27
Y1 - 2011/9/27
N2 - Software development projects have become a challenge for both industry and academia regarding the performance evaluation of teams. Recently, a Stochastic Automata Networks (SAN) model was proposed as theoretical representation for performance prediction of software development teams. In this paper, we present an exercise of such SAN analytical modeling for a practical case study from an Information Technology company that has multiple sites and different participants' roles and expertises. We present the matching of our model predictions with the actual project observations. Then, we focus our attention on the central entity varying its availability and the level of provided support in order to observe the impact on the participants' performance. We summarize our study with further discussions of numerical results and possible model extensions.
AB - Software development projects have become a challenge for both industry and academia regarding the performance evaluation of teams. Recently, a Stochastic Automata Networks (SAN) model was proposed as theoretical representation for performance prediction of software development teams. In this paper, we present an exercise of such SAN analytical modeling for a practical case study from an Information Technology company that has multiple sites and different participants' roles and expertises. We present the matching of our model predictions with the actual project observations. Then, we focus our attention on the central entity varying its availability and the level of provided support in order to observe the impact on the participants' performance. We summarize our study with further discussions of numerical results and possible model extensions.
KW - Analytical Modeling
KW - Global Software Development
KW - Performance Evaluation
KW - Stochastic Automata Networks
KW - Team Building Process
UR - http://www.scopus.com/inward/record.url?scp=80055024264&partnerID=8YFLogxK
U2 - 10.1016/j.entcs.2011.09.006
DO - 10.1016/j.entcs.2011.09.006
M3 - Article
AN - SCOPUS:80055024264
SN - 1571-0661
VL - 275
SP - 73
EP - 92
JO - Electronic Notes in Theoretical Computer Science
JF - Electronic Notes in Theoretical Computer Science
IS - 1
ER -