Pedro Oliveira

As World economy lingers it is increasingly more important to justify any
investment so that available corporate funds are spent wisely. However, estimating the value
of ITIL investments is not an easy task, which means that most CIOs do not invest in largescale IT projects as much as it would be desirable. Instead, CIOs prefer to embark on quick
win implementations (e.g. solely implement the incident management process). For this
reason, it is necessary to create a prototype… Show more

As World economy lingers it is increasingly more important to justify any
investment so that available corporate funds are spent wisely. However, estimating the value
of ITIL investments is not an easy task, which means that most CIOs do not invest in largescale IT projects as much as it would be desirable. Instead, CIOs prefer to embark on quick
win implementations (e.g. solely implement the incident management process). For this
reason, it is necessary to create a prototype that estimates the value of ITIL implementations.
This prototype is based on a methodology that quantifies the project’s total cost, along with
each process’ benefits and improvement percentages. The prototype’s outcome is a Monte
Carlo simulation whose result provides CIOs with a justification of the value of large-scale
ITIL implementations, which can be used to gain the upper hand during the decision-making
process. Show less

In today’s IT projects, some specialists model architectures using ad
hoc modelling languages in a recurrent way. Since those languages usually do
not have defined rules or meta-models, and the majority of the people involved
may not know such languages, misunderstandings and problems can arise. In
this paper we tried to verify if there are any limitations in two well-known
modelling languages, as we believe that the restrictions of today’s modelling
languages may be one… Show more

In today’s IT projects, some specialists model architectures using ad
hoc modelling languages in a recurrent way. Since those languages usually do
not have defined rules or meta-models, and the majority of the people involved
may not know such languages, misunderstandings and problems can arise. In
this paper we tried to verify if there are any limitations in two well-known
modelling languages, as we believe that the restrictions of today’s modelling
languages may be one of the causes of the use of ad hoc languages. Show less