An Agile and Ontology-based Metamodeling Approach for the Traceability of Snippet Code in the Telecommunication Domain

This master thesis investigates whether and how an ontology-based metamodeling approach can ensure traceability between a model artifact (project plan model) and the snippet code (configuration) in the telecommunication (telco) domain.

Gjoklaj, Gezim, 2023

Art der Arbeit Master Thesis
Auftraggebende
Betreuende Dozierende Laurenzi, Emanuele
Keywords
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Because of changing times and the ever-faster market development, traditional software development has also reached its limits in the telco domain. The agile factor, with the positive effect of flexibility and speed, created the so-called agile software development to meet their demands in the telco domain. The benefits of agile frameworks have also made them successful in modeling. The traceability between the artifacts and snippet code must be ensured to benefit fully from agility and adaptability.
This master thesis is developed using the Design Science Research (DSR) Methodology. The DSR cycles are used to reinforce relevance and rigor. The multi-method qualitative research follows the pragmatist strategy with an inductive approach. The relevant data sources from the existing body of knowledge are collected through the literature review. In the later stages, expert interviews are additionally applied for data collection. In the evaluation phase, this master thesis will be evaluated on the evaluation criteria efficacy and consistency using a telecommunication scenario and subsequent verification of traceability using SPARQL on the Apache Jena Fuseki server.
As such, the artifact of this master thesis is an approach that builds on the Agile and Ontology-Aided Modeling Environment (AOAME) to provide traceability between a model artifact and a snippet code (SC). This extension of the agile ontology-based metamodeling approach (AOAME4OntoTel) enables the efficient creation of elements, graphical notation assignment, and linking to domain-specific code snippets.
Studiengang: Business Information Systems (Master)
Vertraulichkeit: öffentlich
Art der Arbeit
Master Thesis
Autorinnen und Autoren
Gjoklaj, Gezim
Betreuende Dozierende
Laurenzi, Emanuele
Publikationsjahr
2023
Sprache der Arbeit
Englisch
Vertraulichkeit
öffentlich
Studiengang
Business Information Systems (Master)
Standort Studiengang
Olten