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Development Metrics

ABOUT THIS DOCUMENT

This Development Metrics document provides a worksheet that outlines numerous metrics that can used to manage or monitor project development. Such metrics include: review effectiveness, effort variance, schedule compliance, defect density, effort distribution by phase, size variance, productivity, requirements stability, rework, defect seepage, total defect percentage, and schedule variance. Business managers or project leads can use this worksheet to state the objective of each metric and list the data items to be collected. This template document can be modified to best fit the needs of any project or business seeking to implement and track development metrics.

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DEVELOPMENT Metrics

S. No. Measure Objective Data Items to be collected Units of Data Formula for Measure

Item



To improve the defects

generated at later stage and a) Errors found in reviews

1 Review Effectiveness improve the review process b) Errors found in Internal testing %age (a/(a+b))*100



a) Actual efforts spent on various

activities/tasks/ work products

To improve/refine the b) Estimated efforts for various

2 Effort Variance estimation model activities/tasks/ work products %age (a-b)/b *100

Deliveries made as per the a)Actual no of deliveries made

3 Schedule Compliance plan b)No of Deliveries Planned %age (a/b)*100

a) post delivery defects during

To identify root causes and warranty period incl.UAT (i.e. sev1/2

improve development after QA sign-off) (No of Defects /

4 Defect Density process b) Total Effort Effort) (a/b)

Efforts spent on analysis, design,

To improve overall coding & unit testing, integration & (Efforts spent on each phase) /

development process vis-à- system testing separately, as (Total efforts spent on the

5 Effort distribution by phase vis industry benchmark applicable %age project) * 100

To improve/refine the a) Actual Size

6 Size Variance estimation model b) Estimated Size %age (a-b)/b *100

a) LOC/Programs/

Modules/Components/ Classes

To know the productivity of developed

7 Productivity the team b) Efforts spent on development Size/ Effort (a/b)

To improve quality of a)Total no of initial requirements

requirement b) No of requirements

8 Requirements Stability analysis/gathering added/deleted/Changed %age (a/a+b)*100

a) Rework Effort

To reduce effort/cost and b) Total Effort for the module/

9 Rework improve productivity functionality %age (a/b)*100

a) Total no of Defects detected in a

module/ functionality by vendor'

team

To reduce the defect b) Defects detected during user

seepage from Dev to QA and acceptance testing by customer'

10 Defect Seepage improve dev process team %age (b / a) * 100







To know no of defects a. defects in specific phase

occurred in different phases b. Total defects in functionality/

11 Total Defect ( Phase wise) % of the life cycle. module %age (a/b)*100





a) Actual date of completion of each

activity/task/work product/phase

b) Planned/Scheduled date of (Actual duration - Planned

To improve/refine the completion of each Date/ duration) / (Planned duration) *

12 Schedule Variance estimation model activity/task/work product/phase No. of days 100

* 100

project) * 100



%age (a-b)/b *100









Size/ Effort (a/b)







%age (a/a+b)*100







%age (a/b)*100









%age (b / a) * 100









FIS Global Business Solutions India Pvt Ltd Author : SEPG Page 3 of 4

Document Name: ITO Dashboard Template Document Version : 1.1 Release Date : 11/20/09









%age (a/b)*100









(Actual duration - Planned

Date/ duration) / (Planned duration) *

No. of days 100









FIS Global Business Solutions India Pvt Ltd Author : SEPG Page 4 of 4

Page 4 of 4

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C5 Schedule Compliance Effort VarianceNTo improve the defects generated at later stage and improve the review

process Review Effectiveness Productivity Measure Objective Data Items to be collected Units of Data Item Formula for

MeasureCTo improve overall development process vis-à-vis industry benchmarkqEfforts spent on analysis, design, coding & unit

testing, integration & system testing separately, as applicableJ(Efforts spent on each phase) / (Total efforts spent on the project) *

100 Size Variance'To improve/refine the estimation model a) Actual Size b) Estimated Size (a-b)/b *100%To know the

productivity of the teamVa) LOC/Programs/ Modules/Components/ Classes developed b) Efforts spent on development (a/b)

Requirements Stability4To improve quality of requirement analysis/gatheringNa)Total no of initial requirements b) No of

requirements added/deleted/Changed Rework.To reduce effort/cost and improve productivity (a/b)*100>a) Errors found in

reviews b) Errors found in Internal testing (a/(a+b))*100 Defect Seepage (b / a) * 100 Total Defect ( Phase wise) %ETo

know no of defects occurred in different phases of the life cycle. Schedule Variance–a) Actual date of completion of each

activity/task/work product/phase b) Planned/Scheduled date of completion of each activity/task/work product/phaseƒa) Actual

efforts spent on various activities/tasks/ work products b) Estimated efforts for various activities/tasks/ work products Deliveries

made as per the plan9a)Actual no of deliveries made b)No of Deliveries Planned Defect Density7To identify root causes and

improve development process (No of Defects / Effort) (a/a+b)*100 %age>a) Rework Effort b) Total Effort for the module/

functionality a) Total no of Defects detected in a module/ functionality by vendor' team b) Defects detected during user

acceptance testing by customer' teamFa. defects in specific phase b. Total defects in functionality/ module Size/ Effortha) post

delivery defects during warranty period incl.UAT (i.e. sev1/2 after QA sign-off) b) Total Effort Effort distribution by phaseCTo

reduce the defect seepage from Dev to QA and improve dev process Date/ No. of days DEVELOPMENT Metrics@ (Actual

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