Monday, November 22, 2010

Configuration Management Audit...

There are two meanings for the project management process of configuration management.
  1. It can be used for the process of identifying, tracking, and managing of all the physical assets of a project. The items that you track under configuration management are called “configuration items” in the Capability Maturity Model (CMMI). 
  2. It can also refer to the process of identifying, tracking and managing of all the characteristics of the assets of a project. These characteristics can also be referred to as product “metadata.” This is closer to the definition of configuration management in the Project Management Body of Knowledge (PMBOK®) from the Project Management Institute.
The following model describes the five major aspects of configuration management.

Planning. You need to plan ahead to create the processes, procedures, tools, files, and databases for managing the project assets or the metadata. You also may need to gain an agreement on exactly what assets are important, how you will define them, how they will be categorized, classified, numbered, reported, etc. The results of this up-front planning are documented in a Configuration Management Plan.
Part of your planning process should be to assign configuration tracking numbers to each type of configuration item.

Tracking. It’s important to understand the baseline for all configuration items. In other words, for each configuration item, you need to understand what you have at the beginning of the project. In many cases, you may have nothing to start with. In other cases, like physical assets, you may have some assets to begin with. The purpose of your tracking processes is to ensure that you can track all changes to a configuration item throughout the project.

You need processes and systems designed to identify when assets are assigned to your project, where they go, what becomes of them, who is responsible for them and how they’re disposed of. Since a project has a beginning and end, ultimately all the assets need to go somewhere. This could be in a final deliverable, into the operations/support area, scrapped, etc. You should be able to dissect each major deliverable of the project and show where all the pieces and parts came from, and where they reside after the project ends.

Managing. Managing assets means ensuring that they’re secure, protected, and used for the right purposes. For example, it doesn’t do any good to track purchased assets that your project doesn’t need in the first place. Also, your tracking system may show expensive components sitting in an unsecured storage room, but is that really the proper place for them? Managing assets has to do with acquiring what you need and only what you need. You also have to make sure you have the right assets at the right place at the right time.

Reporting. You need to be able to report on the project assets, usually in terms of what you have and where they are, as well as financial reporting that can show cost, budget, depreciation, etc.

Auditing. Auditing involves validating that the actual configuration elements (whatever they are) at any given time are the same as what you expect. Many projects get in trouble when they start to lose track of physical assets (for instance, material, supplies, code or other configuration items) or if the physical characteristics (metadata) of your deliverables is different that what you expect.

The auditing process is used to validate that the configuration elements match up with your expectations. These expectations are based on the original baseline, plus any change requests that you have processed up to the current time.

Source: http://blogs.techrepublic.com.com/tech-manager/?p=370&tag=content;leftCol

Wednesday, August 18, 2010

Stat tools - when to use what

  1. Box Plots: used to tell if the data set is skewed by looking at the relative positions of the median, quartiles and the tail. Easy to spot outliers.
  2. Scatter Plots: when we are interested in the relationships between two attributes. Offer visual assessment.
  3. Control Charts: to know whether the data is within acceptable bounds.
  4. Correlation: measure the correlation between two variables. Measure the strength of relationship / association.
  5. Linear Regression: express relation as a linear formula.
  6. Multivariate Regression: investigate relationship between one dependent variable and two or more independent variables.

Tuesday, March 02, 2010

M&A Needs

M and A requires you to identify needs:

1. Management needs
2. Technical needs
3. Project needs
4. Process improvement needs
5. Product needs

To start an M and A program, identify what your management requires as measures from the following categories:

a. Schedule & progress
b. Resources & cost
c. Product size & stability
d. Product quality
e. Process Performance
f. Technology Effectiveness
g. Customer Satisfaction

1. Once you have established these measures, you might need to be more granular, may lead to further decomposition of the measure
2. You will have to review the measurements as some of it might not be as useful you might have thought earlier

Monday, March 01, 2010

Sources of Variation

Example: How many text messages on an average a 19-year-old sends in a day.

  1. Natural variation: Not all students will send the same number of text messages in a day. Taking one sample will not give all the information we need.
  2. Explainable variation: Are there any other reasons why asking one student will not give the average for all 19 years? There are different types of students. Girls seem to send more texts and maybe rich students send more tickets. This is explainable variation.
  3. Sampling error: I take a sample of 5 students. You take a sample of 5 students. Do you think the same mean/average will be the same? We will likely not, because we will choose different people. There are infinite different samples we can take from a population. Sampling error exists because a sample is not a true representative of the entire population. Sample size matters; the larger the sample size greater is the confidence.
  4. Biased sampling: Bias happens when you pick up your samples based on prejudices like not including poor students in the above example.

Thursday, February 25, 2010

CMMI V1.3 CONSTELLATIONS

Adapted from SEI's V1.3 status presentation...

RD: Requirements Development
RM: Requirements Management
TS: Technical Solution
VAL: Validation
VER: Verification

SSAD: Solicitation &
Supplier
Agreement
Development
ARD: Acquisition
Requirements
Development
ATM: Acquisition
Technical
Management
AM: Agreement
Management
AVAL: Acquisition
Validation
AVER: Acquisition
Verification

SD: Service
Delivery
CAM: Capacity and
Availability
Management
SSD: Service
System
Development
SSM: Service
System
Development
SST: Service
System
Development
SC: Service Continuity
IRP: Incident
Resolution &
Prevention

If we already have automation, what's the need for Agents?

“Automation” and “agent” sound similar — but they solve very different classes of problems. Automation = Fixed Instruction → Fixed Outcome ...