David M Raffo, Age 61Wailea, HI

7793271, Sep 7, 2010

Jun 16, 2005

11/155325

David M. Raffo - Tigard OR, US

State of Oregon acting by and through the State Board of Higher Education on behalf of Portland State University - Portland OR

G06F 9/44
G06F 9/45

717135, 717104, 717124, 703 22

A bi-directional software development process simulation model is described. The model simulates the stages of a software development process, using equations relating to defect injection and detection and parameters describing detection and injection rates. With forward development process simulation, predictions can be made for process outcomes. By simulating in the reverse direction, defect detection requirements can be found for each stage of the model to achieve a desired performance result. Outcome-based control levels are utilized with the model to better detect whether a process is out of control. By going between the forward and reverse simulation directions, control of the process can be fine-tuned as defect detection data is obtained during process execution. In addition to quality as measured by defects, other metrics can be simulated, including cost, time, and features; similarly other product development scenarios, such as hardware or systems engineering can also be modeled and simulated.

7860810, Dec 28, 2010

Jun 16, 2005

11/630511

David M. Raffo - Tigard OR, US

State of Oregon acting by and through the State Board of Higher Education on behalf of Portland State University - Portland OR

G06G 7/48
G06F 9/44

706 6, 717103, 717104

A global software development model instrument is described. The instrument utilizes a global system dynamics model, as well as one or more site-specific discrete event simulation and system dynamics models to model interactions within and between software development sites. Parameters, equations, and interactions between the model components are editable to allow for the simulation and comparison of various software development options and to provide for global software development research. Additional product development situations can be modeled as well, including hardware and systems engineering.

7890924, Feb 15, 2011

May 3, 2004

10/838494

David M. Raffo - Durham OR, US

State of Oregon acting by and through the State Board of Higher Education on behalf of Portland State University - Portland OR

G06F 9/44

717105, 717100, 717113, 717135

A generalized software process simulation model is utilized to simulate software engineering processes and support project management and control. The simulation model takes advantage of generic software modeling blocks which represent differing stages or activities in a software development process and are represented in modeling environment. The generic software modeling blocks are also used to represent sub-processes and activities within higher-level processes. The blocks also provide dialog boxes which allow entering and adjustment of data and equations. Through manipulation of blocks and comparisons of simulations, a project manager can simulate and observe the outcome of different process decisions. Additional simulation capabilities are possible, as software engineering is one example of the technology. Similar techniques are also applied to simulation of hardware and systems development, and other product or technology development which follows design and development characteristics similar to software engineering.