Tesis y Tesistas 2020 - Postgrado - Fac. de Informática - UNLP
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Mg. Enrique Eduardo Aramayo
“Business Process Model and Notation” is to provide an
easy-to-understand notation for all the people involved
in a process and creates a bridge between its design and
implementation. The second contribution is related to the
impact of deriving a process, using a standard notation
common to all users in the organization.
The “Natural Language Processing” is a research field that
involves concepts of computer science, linguistics and
artificial intelligence. Language is essential for all aspects
of people’s communication. Natural language analysis,
delivered in text form, is a field that can be explored
further. The third contribution is linked to taking advantage
of concepts related to the analysis of natural language,
provided in the form of grammatically correct simple
sentences, and identifying the processes contained in them.
In summary, the main contribution of the thesis “End User
Grammar Extended for Business Processes” is:
I) a set of rules for the production of annotations on
Mockups,
II) a set of steps that is supported by the aforementioned
rules and collaborates with the derivation of BPMN diagrams
from the Mockups.
Future Research Lines
In the early stages of the software development process,
knowledge about the organization’s business processes may
be nil. The technique is designed to collaborate with the
phase of “Lifting the Process” and helps analysts to know
in greater detail the processes in which the application is
involved. This understanding can be further exploited if it
is extended to the “Identification of the Superior Business
Process (s)”.
After having produced annotations on a Mockup, the task
of identifying the process elements and deriving their
corresponding diagram is a simple task. However, only
general elements are identified. The “Notation” is composed
of specialized elements that are not covered by the thesis.
These elements could be covered in a future extension of
the research.
The tasks of: “Annotations Production”, “Annotations
Division” and “Element Extraction” are carried out by the
team of analysts manually. However, they can also be
assisted by “Natural Language Processing” tools. This last
mention can be expanded in greater depth in future research.
93 TESIS Y TESISTAS 2020