José Enrique Pérez He is an engineer in computer systems. He obtained an M.Sc. in Systems Design from the University of Manchester. He has the following certifications:
- HM Lead Appraiser for CMMI-DEV and CMMI-SVC
- TSP Coach and instructor by the SEI
- Knowledge Six Sigma Black Belt
He has been instructor, developer, project manager and software development manager. He was speaker at the SEPGLA in Mexico, Brazil, Chile and Colombia. He has taught Project Management modules in Latin America. He was a professor at several universities in Guadalajara, Mexico. He has led multiple appraisals in Latin America, Europe and Asia. Currently, he works for with SIE Center de México.
Using Quantitative Techniques to Improve Performance
Tips for the Development of HM Process Performance Models
This conference seeks to guide the participant in the steps for the development of process performance models. The definition of a performance model will be analyzed. The need to have good quality measurements. Two types of Process Performance Models will be explored: Linear regression and Monte Carlo simulation. We will discuss the prerequisites and the results expected, the concepts of relevant and non-relevant factors, as well as concepts related to linear regression such as probability, correlation and relevant factors. The theory about Monte Carlo simulation and its concepts will be explained.
- Quality measurements
- PPMs prerequisites and results
- Tips for model development