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Applying QPM Techniques for effective Test Management of ERP Systems

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Title: Applying QPM Techniques for effective Test Management of ERP Systems Author: diana.ambrose Last modified by: ASHRAF Created Date: 12/2/2011 12:21:07 PM – PowerPoint PPT presentation

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Title: Applying QPM Techniques for effective Test Management of ERP Systems


1
Applying QPM Techniques for effective Test
Management of ERP Systems
  • Balamurali L
  • Senior SQA Manager
  • balamurali.l_at_nestgroup.net
  •  
  • Diana Ambrose
  • Senior Lead SQA
  • diana.ambrose_at_nestgroup.net
  •  
  •  Arun Kumar V
  • Senior Engineer QA
  • arunkumar.v_at_nestgroup.net
  •  
  • Geethu K Nair
  • Engineer QA
  • geethu.nair_at_nestgroup.net

2
Software Systems A Part of Daily Life
Banking applications
Home appliances
Cars and other vehicles
Software is now omnipresent
Educational applications
Communicati-on Media
3
Role of Testing
  • Reduction of errors
  • Increasing confidence of end users
  • Ensuring safe operations
  • Contributes to quality
  • Reduces cost of defect fixing

4
Testing Perspective shift
  • Establish confidence that a program does what it
    is supposed to do (Hetzel, 1973)

5
Testing Perspective shift
  • The process of executing a program or system with
    the intent of finding errors (Myers, 1979)

6
Testing Perspective shift
  • Verifying that a system satisfies its specified
    requirements and identifying the differences
    between expected and actual results

7
The Lacuna
8
Where we stand now
You can define, what you understand.
You can measure, what you can define
You can manage, what you can measure
9
bug prediction and tracking
10
Introduction
  • Uses baseline data of the organization and size
    of the current project
  • Predicts the expected number of bugs and the
    testing schedule for the current project
  • Cumulative bug trend curve resembles the curve of
    a first order response system
  • The actual cumulative bug trend is tracked
    against the estimated
  • Any notable deviation from the bug prediction
    curve, analysis will be triggered and corrective
    actions taken accordingly.

11
Cumulative Bug Trend Curve
  • A curve with
  • The days of testing marked on X-Axis
  • The cumulative number of bugs caught on Y-Axis
  • The slope of the curve gives the rate of bug
    capture

12
Process In Testing - Monitoring
  • Monitoring
  • Bug Prediction Curve
  • Weekly Status Report
  • Schedule Completed
  • Resource Utilization

13
Bug Prediction Curve
Helps in tracking the test execution
14
Bug Prediction Curve
15
Possible Outcomes
  • The actual curve - within expected trend
  • The actual curve - outside expected trend
  • The number of bugs in the initial quarters is
    much less than estimated
  • The number of bugs in the initial quarters is
    much more than estimated

16
The Scenario Diagram
Situations
Bugs in initial stage Less than what
is estimated
Bugs in initial stage More than what
is estimated
Unstable Product
Stable Product
Inadequate Testing
17
Inadequate Testing
18
Unstable Product
19
Challenges in ERP Testing
  • Wide range of stakeholders that use the system
  • Impact of changes across various modules and
    higher risk of issues to be found at integration
  • Inherent slippages that is accumulated over
    various phases of the development lifecycle
  • Tracking and Managing multiple test iterations in
    parallel
  • High pressure to ensure delivery dates as well as
    the quality of delivery

20
In the ERP context
  • Bug trend curve can be calculated for different
    iterations
  • Specification limits can be defined for each
    iterations
  • Actual bug trend curve can be plotted and
    monitored for each iterations

21
Bug Trend Curve for multiple iterations
22
Test Status Indicator
23
Test Status Indicator
  • Root mean square of the variation between the
    estimated and actual bug trend curve
  • The variation between the planned and actual
    value of the bugs can be calculated on a daily
    basis.
  • The overall TSI values of the total projects in
    an organization can be plotted in a control chart
    for monitoring.
  • The specification limits can be defined and from
    the control chart, the points which fall outside
    the limits can be analyzed by the top management.

24
SPC for TSI
25
SPC for TSI in different iterations
26
Advantages
27
Case Study
  • Reduction in effort for testing
  • Implementation of Bug Prediction and Tracking
    method ensures quantitative monitoring and
    control
  • Critical phases tracked in an efficiently and
    effectively

Project Language Plat form Start Date Cost of a Bug (Hrs/Bug) Testing Effort
Before implementation of the method Before implementation of the method Before implementation of the method Before implementation of the method Before implementation of the method Before implementation of the method
Project 1 VC Win NT 13-Mar-11 1.11 11
Project 2 VC Win NT 21-Dec-10 1.28 37
Project 3 C Win NT 13-Mar-11 1.86 25
After implementation of the method After implementation of the method After implementation of the method After implementation of the method After implementation of the method After implementation of the method
Project 4 VC Win NT 16-May-11 0.68 13
Project 5 VC Win NT 11-Jun-11 0.94 7
Project 6 C .net 29-Apr-11 0.63 7
28
Questions
29
Thank you
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