Table 1: Offshore Reference Criteria Composition.
5 COMPARATIVE ANALYSES
The analysis was verified in order to validate if the
model attended the criteria. When it was satisfied –
meaning that it was found in the model – a symbol
(√) marks the intersection column between the
model and the criteria. If the symbol is not present,
the model does not attend the criteria.
The reference offshore model defined in (Song,
2003) was the one with lower criteria marks (3 from
8 defined criterions). However, the model from
(Khan, 2003) and (Kishore, 2003) attended 5 from 8
criterions. Finally, the reference model from (Loh &
Venkatraman, 2002) attends 6 from 8 criterions and
was the one with higher number of satisfied
criterions. Still accord with this description it can be
used as guideline to implement software engineering
practices and process, meaning that it is
complementary and serve as additional model to
maturity models. As from the case study findings it
was noted that the offshore models should be
complementary to other maturity models already
present in the industry. It was noted that (Loh &
Venkatraman, 2002) refers to this implementation
and guideline as well.
Table 2: Comparative Analysis from Offshore Reference
Models.
An important finding is that the most missing
criterions were criteria 5 (Type of Service
Segmentation) and criteria 7 (Technical Aspects).
Even criteria 5 being identified in “CsA”, it lacks in
the majority of the models.
6 FINAL CONSIDERATIONS
It is important to note that the criterions have a
higher scope since were found in case studies. From
the interviews, the comments were considered when
elaborating the criterions as well. Some of these
elements had direct impact in the software quality,
as enumerated by some managers – the social and
relationship aspects between the requester and the
provider.
Results from this work contribute for the
offshore area – as comparisons between such models
were not found in previously researches. The case
study brought practical validation and important
findings from managers and offshore units.
As future researches this study will continue to
expand the applicability and involve other offshore
unit’s as well different models. Quantitative
analysis, including surveys would also increase the
generalization.
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