SlideShare a Scribd company logo
CASE STUDY


Efficient Test Practice Reduces
Cycle Time by 60%

                                                     STAG’s re-engineering of test practices and process
                                                      standardization drives tangible benefits for a
                                                       global leader in wireless communication, enabling
                                                       it to achieve 60% reduction in testing cycle time
                                                      and 30% increase in productivity.




            Domain/Category -
                                                                             Technology - C++, PERL
            Mobile / Wireless Telecom




CUSTOMER AND PRODUCT BACKGROUND
The customer is the India Development Center (IDC) of a world leader in 3G and next-generation mobile technologies.


The product in question was a video sharing application that was developed at the IDC using C/C++. The application was
intended for sharing or storing videos on mobile phones with or without Packet Switched (PS) / Circuit Switched (CS) calls.
The application used Session Initiation Protocol (SIP) for signaling and Real Time Protocol (RTP) for streaming.




PROBLEM STATEMENT
The product components from different development centers were integrated at the IDC and then sent out for field-testing
at an overseas site. The client discovered that the field-testing QA team spent considerable amount of time detecting
system-level defects, leading to an increase in field testing effort and, therefore, delays in product release. The client sought
the help of a specialist partner to fix this anomaly immediately and arrest defect escapes to field.
SOLUTION

The STAG team conducted a quick analysis of the existing test
process and made the following observations:                                                           # Test cases added: 340


• Test cases documented were not exhaustive and repeatable.
                                                                                                       # PERL scripts created: 25
• Defects observed were not systematically analyzed.
                                                                                                       (average lines of code per script – 150)
• 40% of total defects logged were at the unit level.
• The IDC team spent precious time uncovering system level defects.


The STAG team first set up a pragmatic test practice to formally design and document test cases based on
specifications/standards for the features to be implemented in every release (weekly) for testing. Clear gate criteria were
implemented using sanity tests that ensured good test readiness.


The team introduced the concept of build and release notes, which helped the IDC test team focus, prioritize the testing tasks,
and provide essential timely feedback to the development team for quick and measurable progress in product development.


The team added test cases and executed them incrementally for every release. It applied black box techniques and HBT-based
BeST techniques to design test cases. The test cases were developed for both the ‘use’ as well as ‘abuse’ aspects. The team also
developed PERL scripts to detect defects at the SIP level.


The STAG team also set up unit testing practices for key components before releasing the build for system testing. It used
Ethereal and log testing tools to detect, localize, and capture protocol issues and attach them with the defects logged to help
the development team fix the code quickly.


The team also tracked defects and mapped them to the features, modules, and developers to enable quick resolution. After
every release, the team generated a test report that gave clear directions for taking the required corrective actions.


OUTCOME AND VALUE ADDITIONS
Setting up unit level testing resulted in reduction of defects in system testing and eliminated the occurrence of the same defect
types in different features. Reduced rework in coding as well as test execution resulted in a 30% increase in productivity. Also,
there was a 90% reduction in network independent system level defects to field testing.
The defect identification and fixing cycle was brought down to 2 days from 5 days. Zero defect escape to field contributed to
reduction in field testing cycle to 1 day from 3 days for every release. The average defect count reduced from 20 to 12 per
release.


Overall, as the focus of defect detection moved from unit level to system level, the testing cycle was reduced to 3 days from 5
days.


         CUSTOMER SPEAK
         …We are very pleased with our association with STAG, as they brought about a transformation in our
         test practices. This resulted in a 60% reduction in testing effort, a 66% reduction in the field testing
         cycle, and a 30% saving from manpower reduction.
                                                                                                                                    - QA Manager


  Visit: www.stagsoftware.com | E-mail: marketing@stagsoftware.com
  Bangalore: +91 80 28495574 / 41263009 | Chennai: +91 44 4214 3469 / 2442 0396


  2013 © STAG Software Private Limited. All rights reserved. HBT is the IP of STAG Software Private Limited. All trademarks are acknowledged.

More Related Content

More from STAG Software Private Limited

Weighed down by automation?
Weighed down by automation?Weighed down by automation?
Weighed down by automation?
STAG Software Private Limited
 
Covid19 and Clean Code Part 2 - Process & Criteria
Covid19 and Clean Code Part 2 - Process & CriteriaCovid19 and Clean Code Part 2 - Process & Criteria
Covid19 and Clean Code Part 2 - Process & Criteria
STAG Software Private Limited
 
Seven Thinking Tools to Test Rapidly
Seven Thinking Tools to Test RapidlySeven Thinking Tools to Test Rapidly
Seven Thinking Tools to Test Rapidly
STAG Software Private Limited
 
How to test less and accomplish more
How to test less and accomplish moreHow to test less and accomplish more
How to test less and accomplish more
STAG Software Private Limited
 
Is regression hindering your progression?
Is regression hindering your progression?Is regression hindering your progression?
Is regression hindering your progression?
STAG Software Private Limited
 
The Power of Checklist
The Power of ChecklistThe Power of Checklist
The Power of Checklist
STAG Software Private Limited
 
The power of checklist
The power of checklist The power of checklist
The power of checklist
STAG Software Private Limited
 
Setting a clear baseline (How to test an user story #2)
Setting a clear baseline (How to test an user story #2)Setting a clear baseline (How to test an user story #2)
Setting a clear baseline (How to test an user story #2)
STAG Software Private Limited
 
Question to Understand (How to test an User Story #1)
Question to Understand (How to test an User Story #1)Question to Understand (How to test an User Story #1)
Question to Understand (How to test an User Story #1)
STAG Software Private Limited
 
Language shapes the way you think
Language shapes the way you thinkLanguage shapes the way you think
Language shapes the way you think
STAG Software Private Limited
 
Deliver Superior Outcomes Using HBT Visualization Tool
Deliver Superior Outcomes Using HBT Visualization ToolDeliver Superior Outcomes Using HBT Visualization Tool
Deliver Superior Outcomes Using HBT Visualization Tool
STAG Software Private Limited
 
Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...
Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...
Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...
STAG Software Private Limited
 
Are Your Test Cases Fit For Automation?
Are Your Test Cases Fit For Automation?Are Your Test Cases Fit For Automation?
Are Your Test Cases Fit For Automation?
STAG Software Private Limited
 
Think better using “Descriptive-Prescriptive” Approach
Think better using “Descriptive-Prescriptive” ApproachThink better using “Descriptive-Prescriptive” Approach
Think better using “Descriptive-Prescriptive” Approach
STAG Software Private Limited
 
Improving Defect Yield - a three step approach
Improving Defect Yield - a three step approachImproving Defect Yield - a three step approach
Improving Defect Yield - a three step approach
STAG Software Private Limited
 
Reflect and Change
Reflect and ChangeReflect and Change
Reflect and Change
STAG Software Private Limited
 
Agile Sutra "Do more by doing less, Prevent rather than detect"
Agile Sutra "Do more by doing less, Prevent rather than detect"Agile Sutra "Do more by doing less, Prevent rather than detect"
Agile Sutra "Do more by doing less, Prevent rather than detect"
STAG Software Private Limited
 
Enhanced Delivery Confidence Improved Product Maturity
Enhanced Delivery Confidence Improved Product MaturityEnhanced Delivery Confidence Improved Product Maturity
Enhanced Delivery Confidence Improved Product Maturity
STAG Software Private Limited
 
Too Many Conditions!
Too Many Conditions!Too Many Conditions!
Too Many Conditions!
STAG Software Private Limited
 
Pre-deployment Performance Evaluation of Web-based Product
Pre-deployment Performance Evaluation of Web-based ProductPre-deployment Performance Evaluation of Web-based Product
Pre-deployment Performance Evaluation of Web-based Product
STAG Software Private Limited
 

More from STAG Software Private Limited (20)

Weighed down by automation?
Weighed down by automation?Weighed down by automation?
Weighed down by automation?
 
Covid19 and Clean Code Part 2 - Process & Criteria
Covid19 and Clean Code Part 2 - Process & CriteriaCovid19 and Clean Code Part 2 - Process & Criteria
Covid19 and Clean Code Part 2 - Process & Criteria
 
Seven Thinking Tools to Test Rapidly
Seven Thinking Tools to Test RapidlySeven Thinking Tools to Test Rapidly
Seven Thinking Tools to Test Rapidly
 
How to test less and accomplish more
How to test less and accomplish moreHow to test less and accomplish more
How to test less and accomplish more
 
Is regression hindering your progression?
Is regression hindering your progression?Is regression hindering your progression?
Is regression hindering your progression?
 
The Power of Checklist
The Power of ChecklistThe Power of Checklist
The Power of Checklist
 
The power of checklist
The power of checklist The power of checklist
The power of checklist
 
Setting a clear baseline (How to test an user story #2)
Setting a clear baseline (How to test an user story #2)Setting a clear baseline (How to test an user story #2)
Setting a clear baseline (How to test an user story #2)
 
Question to Understand (How to test an User Story #1)
Question to Understand (How to test an User Story #1)Question to Understand (How to test an User Story #1)
Question to Understand (How to test an User Story #1)
 
Language shapes the way you think
Language shapes the way you thinkLanguage shapes the way you think
Language shapes the way you think
 
Deliver Superior Outcomes Using HBT Visualization Tool
Deliver Superior Outcomes Using HBT Visualization ToolDeliver Superior Outcomes Using HBT Visualization Tool
Deliver Superior Outcomes Using HBT Visualization Tool
 
Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...
Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...
Hypothesis Based Testing – Application and Adaptation for testing Enterprise ...
 
Are Your Test Cases Fit For Automation?
Are Your Test Cases Fit For Automation?Are Your Test Cases Fit For Automation?
Are Your Test Cases Fit For Automation?
 
Think better using “Descriptive-Prescriptive” Approach
Think better using “Descriptive-Prescriptive” ApproachThink better using “Descriptive-Prescriptive” Approach
Think better using “Descriptive-Prescriptive” Approach
 
Improving Defect Yield - a three step approach
Improving Defect Yield - a three step approachImproving Defect Yield - a three step approach
Improving Defect Yield - a three step approach
 
Reflect and Change
Reflect and ChangeReflect and Change
Reflect and Change
 
Agile Sutra "Do more by doing less, Prevent rather than detect"
Agile Sutra "Do more by doing less, Prevent rather than detect"Agile Sutra "Do more by doing less, Prevent rather than detect"
Agile Sutra "Do more by doing less, Prevent rather than detect"
 
Enhanced Delivery Confidence Improved Product Maturity
Enhanced Delivery Confidence Improved Product MaturityEnhanced Delivery Confidence Improved Product Maturity
Enhanced Delivery Confidence Improved Product Maturity
 
Too Many Conditions!
Too Many Conditions!Too Many Conditions!
Too Many Conditions!
 
Pre-deployment Performance Evaluation of Web-based Product
Pre-deployment Performance Evaluation of Web-based ProductPre-deployment Performance Evaluation of Web-based Product
Pre-deployment Performance Evaluation of Web-based Product
 

Recently uploaded

GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
Javier Junquera
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
Ivo Velitchkov
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
Zilliz
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
saastr
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
c5vrf27qcz
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
Chart Kalyan
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
Antonios Katsarakis
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
DianaGray10
 
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Edge AI and Vision Alliance
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Alpen-Adria-Universität
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Tosin Akinosho
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
Fwdays
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
MichaelKnudsen27
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
Safe Software
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
Edge AI and Vision Alliance
 

Recently uploaded (20)

GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
 
Fueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte WebinarFueling AI with Great Data with Airbyte Webinar
Fueling AI with Great Data with Airbyte Webinar
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
Overcoming the PLG Trap: Lessons from Canva's Head of Sales & Head of EMEA Da...
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
Y-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PPY-Combinator seed pitch deck template PP
Y-Combinator seed pitch deck template PP
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfHow to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
 
Dandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity serverDandelion Hashtable: beyond billion requests per second on a commodity server
Dandelion Hashtable: beyond billion requests per second on a commodity server
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsConnector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectors
 
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
 
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdfMonitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift.pdf
 
"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota"Choosing proper type of scaling", Olena Syrota
"Choosing proper type of scaling", Olena Syrota
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
 
Essentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation ParametersEssentials of Automations: Exploring Attributes & Automation Parameters
Essentials of Automations: Exploring Attributes & Automation Parameters
 
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
“Temporal Event Neural Networks: A More Efficient Alternative to the Transfor...
 

Efficient Test Practice Reduces Cycle Time by 60%

  • 1. CASE STUDY Efficient Test Practice Reduces Cycle Time by 60% STAG’s re-engineering of test practices and process standardization drives tangible benefits for a global leader in wireless communication, enabling it to achieve 60% reduction in testing cycle time and 30% increase in productivity. Domain/Category - Technology - C++, PERL Mobile / Wireless Telecom CUSTOMER AND PRODUCT BACKGROUND The customer is the India Development Center (IDC) of a world leader in 3G and next-generation mobile technologies. The product in question was a video sharing application that was developed at the IDC using C/C++. The application was intended for sharing or storing videos on mobile phones with or without Packet Switched (PS) / Circuit Switched (CS) calls. The application used Session Initiation Protocol (SIP) for signaling and Real Time Protocol (RTP) for streaming. PROBLEM STATEMENT The product components from different development centers were integrated at the IDC and then sent out for field-testing at an overseas site. The client discovered that the field-testing QA team spent considerable amount of time detecting system-level defects, leading to an increase in field testing effort and, therefore, delays in product release. The client sought the help of a specialist partner to fix this anomaly immediately and arrest defect escapes to field.
  • 2. SOLUTION The STAG team conducted a quick analysis of the existing test process and made the following observations: # Test cases added: 340 • Test cases documented were not exhaustive and repeatable. # PERL scripts created: 25 • Defects observed were not systematically analyzed. (average lines of code per script – 150) • 40% of total defects logged were at the unit level. • The IDC team spent precious time uncovering system level defects. The STAG team first set up a pragmatic test practice to formally design and document test cases based on specifications/standards for the features to be implemented in every release (weekly) for testing. Clear gate criteria were implemented using sanity tests that ensured good test readiness. The team introduced the concept of build and release notes, which helped the IDC test team focus, prioritize the testing tasks, and provide essential timely feedback to the development team for quick and measurable progress in product development. The team added test cases and executed them incrementally for every release. It applied black box techniques and HBT-based BeST techniques to design test cases. The test cases were developed for both the ‘use’ as well as ‘abuse’ aspects. The team also developed PERL scripts to detect defects at the SIP level. The STAG team also set up unit testing practices for key components before releasing the build for system testing. It used Ethereal and log testing tools to detect, localize, and capture protocol issues and attach them with the defects logged to help the development team fix the code quickly. The team also tracked defects and mapped them to the features, modules, and developers to enable quick resolution. After every release, the team generated a test report that gave clear directions for taking the required corrective actions. OUTCOME AND VALUE ADDITIONS Setting up unit level testing resulted in reduction of defects in system testing and eliminated the occurrence of the same defect types in different features. Reduced rework in coding as well as test execution resulted in a 30% increase in productivity. Also, there was a 90% reduction in network independent system level defects to field testing. The defect identification and fixing cycle was brought down to 2 days from 5 days. Zero defect escape to field contributed to reduction in field testing cycle to 1 day from 3 days for every release. The average defect count reduced from 20 to 12 per release. Overall, as the focus of defect detection moved from unit level to system level, the testing cycle was reduced to 3 days from 5 days. CUSTOMER SPEAK …We are very pleased with our association with STAG, as they brought about a transformation in our test practices. This resulted in a 60% reduction in testing effort, a 66% reduction in the field testing cycle, and a 30% saving from manpower reduction. - QA Manager Visit: www.stagsoftware.com | E-mail: marketing@stagsoftware.com Bangalore: +91 80 28495574 / 41263009 | Chennai: +91 44 4214 3469 / 2442 0396 2013 © STAG Software Private Limited. All rights reserved. HBT is the IP of STAG Software Private Limited. All trademarks are acknowledged.