Testing Analytics

Question 1

Why is testing needed?

Answer 1

Goal of testing:

1. Reduce risk - by proactively finding and eliminating problems which would most greatly impact customers using the software.
2. Prioritize testing - of areas which may have the largest impact on the customer. Develop tests to find potential errors.

Question 2

Potential User Impacts

Answer 2

1. Impact by the frequency of an error
2. Impact by the severity of the problem

Things that annoy the end-user every time they use your software, or things that rarely happen, but have great negative consequences.

Question 3

Types of Testing

Answer 3

Types of Software Testing:

1. Black box
2. White box
3. Acceptance
4. Automated
5. Regression
6. Functional
7. Exploratory

Question 4

Black box testing

Answer 4

Testing an output of a given input

Question 5

White box testing

Answer 5

Testing the source code - use knowledge of the source code to develop your tests.

Advantages - discovering hidden bugs more efficiently, code optimization, and fast problem spotting.

Disadvantages - coding knowledge required, code access req., and focus on existing software not missing functionalities.

Question 6

Acceptance testing

Answer 6

Testing what is expected vs. what actually happens.

Test actual req. or expectations of the customer

Advantages - easy to spot usability issues early on

Disadvantages - needs a well defined test audience, and it’s time consuming to set-up.

Question 7

Automated Testing

Answer 7

Recurring standardized tests with scripts

More and more testing is moving to automated testing because manually running tests is tedious and more prone to error.

Question 8

Regression Testing

Answer 8

Test to verify the system still works as it did before the change.

Purpose - testing is to make sure the software doesn’t regress in functionality. (regress-ion)

Question 9

Functional Testing

Answer 9

Test all things related to functionality

Does the system do what it’s supposed to do from a functional perspective.

Question 10

Exploratory Testing

Answer 10

Tests within certain areas, no specified test cases.

Exploring the application for applications or behaviors not acting as expected.

Sometimes recorded since there is no script and errors can be hard to recreate

Question 11

What are the 4 stages of the testing process?

Answer 11

1. Development of a test plan
2. Design tests
3. Test creation and execution
4. Log results

Bugs are then prioritized and fixed

Question 12

Testing to “break the software”

Answer 12

A way of performance testing or functional testing

Pushing the system to extremes - adopt the following attitude: you’re looking for any reason not to buy the software.

Question 13

Predictive Analytics vs.

Descriptive and Prescriptive Analytics

Answer 13

Question 14

The 7 Steps of Predictive Analytics

Answer 14

1. Define the project
2. Data collection
3. Data analysis
4. Statistics
5. Data modeling
6. Model Deployment
7. Monitoring

Question 15

Defining the project

Answer 15

This is the first step of the Predictive Analytics model. Here you will have a clear-cut definition of the outcome of the project, the business objectives, the scope of the effort, identifying data sets and more.

Question 16

Collecting the data

Answer 16

This is the second step of the process wherein you will be mining for the data from multiple sources and prepare the Predictive Analytics mode andprovide a complete overview of the entire process.

Question 17

Analyzing the data

Answer 17

This is the process that includes the various steps of inspection, cleaning, modeling of the data for discovering the objective and help to reach at a conclusion.

Question 18

Deploying statistics

Answer 18

Here you will be working on validating the assumptions and hypothesis and testing it using the standard statistical models.

Question 19

Data modeling

Answer 19

This is the process that provides the ability to create automatic predictive models of the future. You can also create a set of models and choose the most optimal one.

Question 20

Model deployment

Answer 20

This is the step in which you will be deploying the analytical results into your everyday business operations helping to get results, reports and the output of the automated decisions.

Question 21

Monitoring the model

Answer 21

The models are reviewed in order to ensure the performance of it is going in the right direction.