Thought Leadership Webinar - Predictive Analytics in Software Testing Presentation.

1
(No Transcript)
2
Introduction
The common problem most of the companies today
face sudden increase in costs, production delays
and operational risks.
Organizations which perform testing using its
in-house testing environment and team.

• Organizations simply outsourcing its entire
  testing activities to preferred vendors.

3
Challenges with in-house Testing

• Managing testing for multiple releases of
  different types of applications
• Managing multiple testing tools and required
  infrastructure usage and productivity
• Measuring Testing team Productivity
• Identify Right Tester for particular task
• Unable to identify issues which can lead to
  challenges in future
• Unable to provide different stake-holders reports
  in preferred view
• Measuring Test coverage and quality of work
• Timely alerts and notifications

4
Challenges with Outsourced Testing

• Identifying the right vendor who have the
  required competency to deliver the output as per
  expectations and vendor who is flexible enough to
  adapt to changes
• Managing and communication with multiple testing
  vendors is a challenge
• Difficulty in Identifying the root cause at a
  right time
• KPI reports and SLA adherence
• Measuring Test coverage and quality of work
• Difficulty in identifying the root cause of an
  issue
• Implementing quick changes is a challenge

5
Common Challenges and Expectations

• Every stakeholder have different expectation in
  terms of KPI reports , test results, Audit
  reports, Test management reports, Other metrics,
  etc..
• There are no standard expectation on reports.
  Demand of reports might change based on that
  situation and Stakeholder requirements.
• Not able to produce desired analytical reports
  and its time taking process to generate
  OnDemand Analytical reports
• Is project going in right track ?
• Who is the right tester for this assignment?
• In my testing practice where exactly I am
  incurring more cost ?
• With the current pace of the project will I be
  able to meet the deadline ?
• Project got deviated ! What measure I should take
  to accomplish the project with in the set
  Deadline?
• Not able to generate expected report because data
  is residing in different sources.
• Many more challenges..

6
Predictive Analytics in Software Testing
Predictive Analytics is a data driven technology
which can be leveraged to predict failure points
in testing activities and determine the future.
It has the power to help optimize project data
and make proactive decisions.

• Predictive analytics helps in predicting the
  present and taking proactive measures for future.
  
• There are 3 major techniques which can be used
  in Predictive Analytics
• Predictive model
• Descriptive model
• Decision model
• Based on the KPI requirements or expectations of
  the clients applicable model can be applied and
  expected report can be generated.
• Predictive Analytical solution will helps
  answering many such questions which we might not
  derive from existing testing tool based reports
• How will it affect my Testing project?
• How do we do things better?
• What is the best decision for a complex problem?

Predictive analytics helps in reducing the
testing costs and deriving to better ROI early in
the testing life cycle.
7
Advantages of Predictive Analytics in Software
Testing

• Predictive Analytics helps in identifying right
  tester for particular task
• Predictive Analytics helps in monitoring overall
  project status
• Predictive Analytics helps in identifying issues
  impacting various areas of project
• Predictive Analytics helps in proactively
  identifying the risks and mitigating the risks at
  the earliest stage
• Predictive Analytics helps in identifying where
  is the delay and what is the issue
• Predictive Analytics helps in monitoring tester
  and testing team productivity
• Predictive Analytics helps in right vendor for
  the particular project
• Predictive Analytics helps in Improve Planning,
  Quality and Delivery
• Predictive Analytics helps in making right
  decisions at right time.

8
Predictive Analytics in Integrated Approach
In a testing practice multiple testing activities
performed and multiple testing tools are
leveraged to fulfill the requirements and each
testing tool works in silos and respective
testing data and logs storing in silos. To
optimize the cost, time and effort, its
suggested to go with new techniques and
technology and integrate predictive analytical
tool into the integration framework.
9
Conclusion
Predictive Analytics helps in increasing the
efficiency and improves the effectiveness of the
testing operations
Predictive Analytics helps in Improve Planning,
Quality and Delivery
10
Thank you for attending our webinar.
For any queries, please reach me at
pavan_at_clictest.com or visit www.clictest.com