Deriving Process Performance Models A Dimensional Analysis Approach

In the software quality showground, application of quantitative analysis methods

using statistical techniques has become a necessary factor for an organisation to achieve the CMMI High Maturity stamp and to uphold and sustain it thereafter. Effective usage of statistical techniques is the powerful way to understand and analyse the behaviour of a process. CMMI demands that the identified vital process has to be statistically managed inside the projects to achieve the project objectives. Process Performance Models (PPM) can be used to predict the performance of the process based on the historical data and to select the parameters that can be quantitatively managed within the project.

Quality is the prime aspect that determines the success of any project. The well understood and accepted fact is that the quality of the process derives the quality of the product. This focus paved the way to statistical monitoring and control of the process, eventually resulting in the idea of Process Performance Models. Implementation of high maturity practices of CMMI Services demands for creation and effective usage of Process Performance Models. A process performance model talks about a mathematical relation between a dependent factor with the independent factors which affect the dependent factor. Statistical Methodologies are involved in the same which demand for availability of large volume of data. Organizations new to high maturity practices face the challenge of unavailability of enough data points to build a process performance model which inhibits them from implementing it in their projects.

Dimensional Analysis, which is widely used in Fluid Dynamics, is a method which describes a natural phenomenon by a dimensionally correct equation among certain variable which affect the phenomenon. Rayleigh's method and the Buckingham theorem are widely used in dimensional analysis of a problem to expresses the phenomenon as an equation between the dependent and independent variables by defining them as dimensionless groups.

The first step in the dimensional analysis is to identify the factors influencing a phenomenon. Once the factors are identified, they need to be formed into dimensionless groups. Buckingham theorem can be used for obtaining the relationship between the factors influencing the phenomenon. This method also provides us with the details of how many dimensionless groups are expected.

Dimensional analysis is an accepted methodology which is widely used in Fluid dynamics and heat transfer for defining the relation between the parameters that govern the phenomenon. It is a method which describes a natural phenomenon by a dimensionally correct equation among certain variables which affect the phenomenon. It reduces the number of variables and arranges them into dimensionless groups.

by: QAI HMBP Conference

POST COMMENT

6 Popular Functions Of Financial Analysis Tools Financial Analysis Report On Hipermarc S.a. - Company Capsule Financial Analysis Report On Lotte Midopa Co., Ltd. Financial Analysis Report On La Chausseria Sa Financial Analysis Report On Lafuma S.a. - Company Capsule Dna Analysis Makes The Bigfoot Possibly Bio Disk Analysis - One More Fraud By Qnet Or Financial Analysis Report On Shin Shin Co., Ltd Financial Analysis Report On Rock Field Co Ltd Financial Analysis Report On Okamoto Industries,inc. Future Development Of Wireless Temperature Sensor Predictive Analysis Competitor Analysis On Harvard International Plc - Company Capsule Swot Analysis Report On Duros S.a. - Company Capsule