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Analytical Hierarchy Process for choosing platforms

The objective is to choose type of development for mobile application that will fits client’s needs.

During the interview Ivan has to clarify criteria and their weights. Also he has to warn client about such cross-platform apps features as no access to inner resources and phone services, working only via the Internet and less smooth user experience.

Main client’s criterias are:

1. Covering customers

2. Development costs

3. Development duration

4. Support costs

5. UX friendly (Smooth user interface, working offline/online, free access to inner resources and phone’s service)

Then Ivan asks Vladimir about priorities and importance of criteria and calculates their weight according AHP (see appendix 3).

Before starting judgments to determine the rankings of criteria, it is necessary to determine the linguistic variables, that the experts are used for evaluation.

9 – extremely preferred

8 – very strong to extremely preferred

7 – very strongly preferred

6 – strongly to very preferred

5 – strongly preferred

4 – moderately to strong preferred

3 – moderately preferred

2 – equal to moderately preferred

1 – equally preferred

 

Overall preference matrix
  Covering Dev. Ñosts Sup. Costs Duration UX
Covering 1,00 3,00 2,00 6,00 2,00
Dev. Ñosts 0,20 1,00 1,00 7,00 2,00
Sup. Costs 0,25 1,00 1,00 7,00 2,00
Duration 0,17 0,14 0,14 1,00 0,20
UX 0,50 0,50 0,50 5,00 1,00
Col sum 2,12 5,64 4,64 26,00 7,20

 

OPM contain information about pairwise comparison of each criteria over another in term of preference.

 

Normalized overall preference matrix

  Covering Dev. Ñosts Sup. Costs Duration UX V
Covering 0,47 0,53 0,43 0,23 0,28 0,39
Dev. Ñosts 0,09 0,18 0,22 0,27 0,28 0,21
Sup. Costs 0,12 0,18 0,22 0,27 0,28 0,21
Duration 0,08 0,03 0,03 0,04 0,03 0,04
UX 0,24 0,09 0,11 0,19 0,14 0,15
          l= 5,1172175
          CI= 0,0293044
          CR= 3%

 

 

Next step, we are assuming an impact of each of the alternatives to the decision making process of choosing the best approach for developing

Covering
Company estimate Dev. Costs Cross-platform iOS Android iOS+Android
+90 % Cross-platform 1,00 6,00 5,00 1,00
~40 % iOS 0,17 1,00 2,00 0,20
~50 % Android 0,20 0,50 1,00 0,17
+90 % iOS+Android 1,00 5,00 6,00 1,00
  Col sum 2,37 12,50 14,00 2,37

 

Normalized matrix



  Cross-platform iOS Android iOS+Android V
Cross-platform 0,42 0,48 0,36 0,42 0,42
iOS 0,07 0,08 0,14 0,08 0,09
Android 0,08 0,04 0,07 0,07 0,07
iOS+Android 0,42 0,40 0,43 0,42 0,42
        l= 4,098385
        CI= 0,032795
        CR= 4%

 

Support cost

Company estimate Dev. Costs Cross-platform iOS Android iOS+Android
~150K for mod Cross-platform 1,00 2,00 4,00 7,00
~200K for mod iOS 0,50 1,00 2,00 4,00
~250K for mod Android 0,33 0,50 1,00 3,00
~400K for mod iOS+Android 0,14 0,25 0,33 1,00
  Col sum 1,98 3,75 7,33 15,00

 

Normalized matrix



  Cross-platform iOS Android iOS+Android V
Cross-platform 0,51 0,53 0,55 0,47 0,51
iOS 0,25 0,27 0,27 0,27 0,26
Android 0,17 0,13 0,14 0,20 0,16
iOS+Android 0,07 0,07 0,05 0,07 0,06
        l= 4,118296
        CI= 0,039432
        CR= 4%

 

Duration
Company estimate Dev. Costs Cross-platform iOS Android iOS+Android
~2 month Cross-platform 1,00 2,00 4,00 7,00
~3 month iOS 0,50 1,00 2,00 4,00
~4 month Android 0,33 0,50 1,00 3,00
~6 month iOS+Android 0,14 0,25 0,33 1,00
  Col sum 1,98 3,75 7,33 15,00
           

Normalized matrix

  Cross-platform iOS Android iOS+Android V
Cross-platform 0,51 0,53 0,55 0,47 0,51
iOS 0,25 0,27 0,27 0,27 0,26
Android 0,17 0,13 0,14 0,20 0,16
iOS+Android 0,07 0,07 0,05 0,07 0,06
        l= 4,118296
        CI= 0,039432
        CR= 4%

 

 

UX

Client test Dev. Costs Cross-platform iOS Android iOS+Android
not smooth enough Cross-platform 1,00 0,17 0,17 0,17
smooth iOS 6,00 1,00 1,00 1,00
smooth Android 6,00 1,00 1,00 1,00
smooth iOS+Android 6,00 1,00 1,00 1,00
  Col sum 19,00 3,17 3,17 3,17

 

Normalized matrix



  Cross-platform iOS Android iOS+Android V
Cross-platform 0,05 0,05 0,05 0,05 0,05
iOS 0,32 0,32 0,32 0,32 0,32
Android 0,32 0,32 0,32 0,32 0,32
iOS+Android 0,32 0,32 0,32 0,32 0,32
        l=
        CI=
        CR= 0%

Result

 
Cross-platform 42%
iOS 20%
Android 14%
iOS+Android 24%

AHP shows that cross-platform development fits the most. This can be explained by the fact that cross-platform limitations are not critical for the client.


Date: 2016-04-22; view: 806


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