Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 73-92 |
| Number of pages | 20 |
| Journal | Electronic Notes in Theoretical Computer Science |
| Volume | 275 |
| Issue number | 1 |
| Early online date | 21 Sept 2011 |
| DOIs | |
| Publication status | Published - 27 Sept 2011 |
Bibliographical note
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]
Keywords
- Analytical Modeling
- Global Software Development
- Performance Evaluation
- Stochastic Automata Networks
- Team Building Process