This is a Functional Software Testing Metric Dashboard (Diamond) Report, it is one of reports that Balanced Scorecard Designer can generate for Functional Software Testing KPI. With this software you can also design your own scorecards, KPIs and metrics.


Functional Software Testing Scorecard

Report includes: 1 day(s), from 21.11.2008 to 21.11.2008

  Name Start value End value Dynamic Contains
Root Functional Software Testing Scorecard 50,49 % 50,49 % 0 %
Quality Assurance and Resource Allocation Perspective(57,5%, 0%)
Testing and Performance Perspective(51,3%, 0%)
Testing Methods Perspective(40,7%, 0%)
Testing skills and Learning Perspective(48,6%, 0%)

Graph for Functional Software Testing Scorecard

Graph for Functional Software Testing Scorecard

Data for Functional Software Testing Scorecard

DatesValue
21.11.200850,49

Quality Assurance and Resource Allocation Perspective

  Name Start value End value Dynamic Parent Contains
Root Quality Assurance and Resource Allocation Perspective 57,46 % 57,46 % 0% Functional Software Testing Scorecard
Indicators
Probability of quality and functional errors
Number of Quality Assurance Techniques used
% of automated testing processes
% resources properly allocated *
* - Information for this metric is limited in sample report Description This perspective takes into consideration KPIs that ensures the quality assurance and deals with proper resource allocation in testing programs.

Graph for Quality Assurance and Resource Allocation Perspective

Graph for Quality Assurance and Resource Allocation Perspective

Data for Quality Assurance and Resource Allocation Perspective

DatesValueWeight
21.11.200857,463

Probability of quality and functional errors

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Probability of quality and functional errors 28,35 28,35 0 % Maximize Quality Assurance and Resource Allocation Perspective
Description This KPI indicates the probability with which quality and functional errors arise in software (on a scale of 1 to 10).

Graph for Probability of quality and functional errors

Graph for Probability of quality and functional errors

Data for Probability of quality and functional errors

DatesWeightMinMaxValue
21.11.2008353028,35

Number of Quality Assurance Techniques used

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Quality Assurance Techniques used 14,357 14,357 0 # Maximize Quality Assurance and Resource Allocation Perspective
Description It refers to number of quality assurance techniques used to ensure a certain quality level.

Graph for Number of Quality Assurance Techniques used

Graph for Number of Quality Assurance Techniques used

Data for Number of Quality Assurance Techniques used

DatesWeightMinMaxValue
21.11.2008212014,357

% of automated testing processes

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % of automated testing processes 61,6 61,6 0 % Maximize Quality Assurance and Resource Allocation Perspective
Description It implies % of software testing processes that are automated to save time and reduce the errors.

Graph for % of automated testing processes

Graph for % of automated testing processes

Data for % of automated testing processes

DatesWeightMinMaxValue
21.11.200835010061,6

Testing and Performance Perspective

  Name Start value End value Dynamic Parent Contains
Root Testing and Performance Perspective 51,32 % 51,32 % 0% Functional Software Testing Scorecard
Indicators
Test Coverage
% Reduction in Turn Around Time
Number of Reworks
Number of Tests per unit size *
* - Information for this metric is limited in sample report Description This perspective helps in judging the performance level of software testing.

Graph for Testing and Performance Perspective

Graph for Testing and Performance Perspective

Data for Testing and Performance Perspective

DatesValueWeight
21.11.200851,323

Test Coverage

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Test Coverage 91,15 91,15 0 % Maximize Testing and Performance Perspective
Description It refers to % of software specifications that are being covered in the test.

Graph for Test Coverage

Graph for Test Coverage

Data for Test Coverage

DatesWeightMinMaxValue
21.11.200837010091,15

% Reduction in Turn Around Time

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % Reduction in Turn Around Time 13,96 13,96 0 % Maximize Testing and Performance Perspective
Description It indicates the % reduction in time taken to close the bug, when it is open.

Graph for % Reduction in Turn Around Time

Graph for % Reduction in Turn Around Time

Data for % Reduction in Turn Around Time

DatesWeightMinMaxValue
21.11.20082107013,96

Number of Reworks

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Reworks 9,135 9,135 0 # Minimize Testing and Performance Perspective
Description Number of reworks done to reframe the software according to the predefined specifications (in the last month).

Graph for Number of Reworks

Graph for Number of Reworks

Data for Number of Reworks

DatesWeightMinMaxValue
21.11.200820159,135

Testing Methods Perspective

  Name Start value End value Dynamic Parent Contains
Root Testing Methods Perspective 40,66 % 40,66 % 0% Functional Software Testing Scorecard
Indicators
Number of Black Box Testing techniques used
Number of White Box testing methods used
Number of Grey Box testing methods used
Number of testing procedures initiated with complete conceptualization *
* - Information for this metric is limited in sample report Description This perspective talks about the various methods that are being used to conduct functional software testing.

Graph for Testing Methods Perspective

Graph for Testing Methods Perspective

Data for Testing Methods Perspective

DatesValueWeight
21.11.200840,662

Number of Black Box Testing techniques used

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Black Box Testing techniques used 7,075 7,075 0 # Maximize Testing Methods Perspective
Description It refers to number of black box testing techniques used like equivalence partitioning, all-pairs testing, traceability matrix, boundary value analysis, fuzz testing, etc.

Graph for Number of Black Box Testing techniques used

Graph for Number of Black Box Testing techniques used

Data for Number of Black Box Testing techniques used

DatesWeightMinMaxValue
21.11.200831107,075

Number of White Box testing methods used

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of White Box testing methods used 1,352 1,352 0 # Maximize Testing Methods Perspective
Description It indicates the number of white box testing techniques utilized. This may include code coverage, fault injection, mutation testing, etc.

Graph for Number of White Box testing methods used

Graph for Number of White Box testing methods used

Data for Number of White Box testing methods used

DatesWeightMinMaxValue
21.11.20083151,352

Number of Grey Box testing methods used

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Grey Box testing methods used 3,208 3,208 0 # Maximize Testing Methods Perspective
Description It implies the number of grey box testing methods used in functional software testing.

Graph for Number of Grey Box testing methods used

Graph for Number of Grey Box testing methods used

Data for Number of Grey Box testing methods used

DatesWeightMinMaxValue
21.11.20083153,208

Testing skills and Learning Perspective

  Name Start value End value Dynamic Parent Contains
Root Testing skills and Learning Perspective 48,62 % 48,62 % 0% Functional Software Testing Scorecard
Indicators
Number of training sessions
Communication Level
% testers equipped with necessary testing skills
Number of time constrained testing projects completed successfully *
* - Information for this metric is limited in sample report Description This perspective includes KPIs that throw some light on the testing skills and learning aspect of the testers.

Graph for Testing skills and Learning Perspective

Graph for Testing skills and Learning Perspective

Data for Testing skills and Learning Perspective

DatesValueWeight
21.11.200848,622

Number of training sessions

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of training sessions 1,964 1,964 0 # Maximize Testing skills and Learning Perspective
Description This indicator signifies the number of training sessions conducted to develop necessary testing capabilities among the testers (monthly).

Graph for Number of training sessions

Graph for Number of training sessions

Data for Number of training sessions

DatesWeightMinMaxValue
21.11.20082151,964

Communication Level

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Communication Level 3,385 3,385 0 Score Maximize Testing skills and Learning Perspective
Description It indicates the communication level exist among the tester, programmers, and developers (on a scale of 1 to 10).

Graph for Communication Level

Graph for Communication Level

Data for Communication Level

DatesWeightMinMaxValue
21.11.200831103,385

% testers equipped with necessary testing skills

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % testers equipped with necessary testing skills 85,93 85,93 0 % Maximize Testing skills and Learning Perspective
Description It implies % of testers that are equipped with necessary testing skills to carry out functional software testing.

Graph for % testers equipped with necessary testing skills

Graph for % testers equipped with necessary testing skills

Data for % testers equipped with necessary testing skills

DatesWeightMinMaxValue
21.11.200837010085,93
Created by: AKS-Labs
Report created with Balanced Scorecard Designer at 14.12.2008 12:14:34

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