This is a Functional Software Testing Balanced Scorecard Report, it is one of reports that Balanced Scorecard Designer can generate for Functional Software Testing scorecard. With this software you can also design your own KPIs, Balanced Scorecards and metrics.


Functional Software Testing Scorecard

Report includes: 1 month(s) 49 day(s), from 21.11.2008 to 09.01.2009

  Name Start value End value Dynamic Contains
Root Functional Software Testing Scorecard 51,85 % 51,41 % -0,44 %
Quality Assurance and Resource Allocation Perspective(67,9%, -1,79%Down)
Testing and Performance Perspective(61,9%, 21,94%Up)
Testing Methods Perspective(19,8%, -32,34%Down)
Testing skills and Learning Perspective(42,5%, -0,07%Down)

Graph for Functional Software Testing Scorecard

Graph for Functional Software Testing Scorecard

Data for Functional Software Testing Scorecard

DatesValue
21.11.200851,85
28.11.200843,23
05.12.200842,89
12.12.200851,13
19.12.200842,72
26.12.200854,38
02.01.200953,66
09.01.200951,41

Quality Assurance and Resource Allocation Perspective

  Name Start value End value Dynamic Parent Contains
Root Quality Assurance and Resource Allocation Perspective 69,74 % 67,95 % -1,79% 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
21.11.200869,743
28.11.200842,453
05.12.200846,193
12.12.200824,393
19.12.200833,673
26.12.200857,373
02.01.200978,043
09.01.200967,953

Probability of quality and functional errors

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Probability of quality and functional errors 22,5 23,7 + 1,2 % 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
21.11.2008353022,5
28.11.2008353012,9
05.12.2008353020,7
12.12.200835307,925
19.12.2008353011,875
26.12.2008353010,35
02.01.2009353027,525
09.01.2009353023,7

Number of Quality Assurance Techniques used

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Quality Assurance Techniques used 10,804 10,329 -0,475 # 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
21.11.2008212010,804
28.11.2008212014,718
05.12.200821206,358
12.12.200821208,657
19.12.200821207,555
26.12.2008212011,887
02.01.2009212015,554
09.01.2009212010,329

% of automated testing processes

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % of automated testing processes 83,4 83,65 + 0,25 % 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
21.11.200835010083,4
28.11.200835010069,35
05.12.200835010082,95
12.12.200835010063,7
19.12.200835010062,6
26.12.200835010099,65
02.01.200935010092,25
09.01.200935010083,65

Testing and Performance Perspective

  Name Start value End value Dynamic Parent Contains
Root Testing and Performance Perspective 39,94 % 61,88 % + 21,94% 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
21.11.200839,943
28.11.200828,083
05.12.200834,433
12.12.200875,583
19.12.200841,393
26.12.200839,083
02.01.200947,543
09.01.200961,883

Test Coverage

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Test Coverage 88,72 76,9 -11,82 % 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
21.11.200837010088,72
28.11.200837010075,43
05.12.200837010084,67
12.12.200837010088,33
19.12.200837010078,97
26.12.200837010076,45
02.01.200937010092,08
09.01.200937010076,9

% Reduction in Turn Around Time

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % Reduction in Turn Around Time 23,32 47,98 + 24,66 % 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
21.11.20082107023,32
28.11.20082107036,34
05.12.20082107030,7
12.12.20082107064,06
19.12.20082107046,3
26.12.20082107014,08
02.01.20092107062,74
09.01.20092107047,98

Number of Reworks

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of Reworks 4,125 3,96 -0,165 # 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
21.11.200820154,125
28.11.2008201512,72
05.12.2008201513,725
12.12.200820155,175
19.12.2008201510,11
26.12.200820150,525
02.01.200920159,675
09.01.200920153,96

Testing Methods Perspective

  Name Start value End value Dynamic Parent Contains
Root Testing Methods Perspective 52,15 % 19,81 % -32,34% 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
21.11.200852,152
28.11.200849,632
05.12.200841,722
12.12.200843,032
19.12.200841,742
26.12.200884,362
02.01.200925,422
09.01.200919,812

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 8,398 1,567 -6,831 # 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
21.11.200831108,398
28.11.200831101,027
05.12.200831101,558
12.12.200831104,051
19.12.200831108,785
26.12.200831107,714
02.01.200931104,006
09.01.200931101,567

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 2,368 2,112 -0,256 # 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
21.11.20083152,368
28.11.20083153,124
05.12.20083154,272
12.12.20083151,34
19.12.20083153,008
26.12.20083154,132
02.01.20093152,164
09.01.20093152,112

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 2,588 1,18 -1,408 # 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
21.11.20083152,588
28.11.20083154,66
05.12.20083152,296
12.12.20083154,16
19.12.20083151,092
26.12.20083154,868
02.01.20093151,756
09.01.20093151,18

Testing skills and Learning Perspective

  Name Start value End value Dynamic Parent Contains
Root Testing skills and Learning Perspective 42,58 % 42,51 % -0,07% 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
21.11.200842,582
28.11.200860,712
05.12.200851,822
12.12.200862,672
19.12.200859,272
26.12.200842,882
02.01.200954,492
09.01.200942,512

Number of training sessions

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Number of training sessions 3,004 2,78 -0,224 # 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
21.11.20082153,004
28.11.20082153,776
05.12.20082152,184
12.12.20082154,656
19.12.20082152,608
26.12.20082154,312
02.01.20092151,64
09.01.20092152,78

Communication Level

  Name Start value End value Dynamic Measure units Optimization method Parent
Root Communication Level 3,205 8,479 + 5,274 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
21.11.200831103,205
28.11.200831107,435
05.12.200831106,85
12.12.200831106,256
19.12.200831106,049
26.12.200831103,025
02.01.200931109,19
09.01.200931108,479

% testers equipped with necessary testing skills

  Name Start value End value Dynamic Measure units Optimization method Parent
Root % testers equipped with necessary testing skills 83,17 70,12 -13,05 % 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
21.11.200837010083,17
28.11.200837010084,34
05.12.200837010091,48
12.12.200837010089,05
19.12.200837010093,88
26.12.200837010074,77
02.01.200937010090,97
09.01.200937010070,12
Created by: AKS-Labs
Report created with Balanced Scorecard Designer at 14.12.2008 12:14:18

Copyright © 2000-2012 AKS-Labs. All rights reserved.