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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-09192011-110539


Tipo di tesi
Tesi di laurea specialistica
Autore
CALO', YLENIA
URN
etd-09192011-110539
Titolo
Modelling and Analysing Software Repository Logs by Business Intelligence Techniques
Dipartimento
INTERFACOLTA'
Corso di studi
INFORMATICA PER L'ECONOMIA E PER L'AZIENDA
Relatori
relatore Prof. Ruggieri, Salvatore
Parole chiave
  • Business Intelligence
  • Software Repository
Data inizio appello
07/10/2011
Consultabilità
Parziale
Data di rilascio
07/10/2051
Riassunto
In this work I present an application of data exploration and data mining techniques for analysis of software repositories and bug reports. Previous works focus on developing knowledge extraction models from large software repositories, frequently overlooking an effective organization of the data in support of an efficient and flexible exploration.
The approach presented uses a datawarehouse functionality to organize and manage data extracted from different repositories, Online Analytical Processing (OLAP) to explore data, capturing the more interesting trends that are then studied more deeply with data mining techniques. The DM model displays the results of mining software repositories in order to assess developers adopted work praxis to fix eventual problem occurred during the project development life cycle.
The developed methodology and tools will be useful for software development Managers who are interested to know strong and weak points of the software development life cycle and for software developers as well, as a quality improvement tool.
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