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Collections :	Ιδρυματικό Αποθετήριο ΟΠΑ / AUEB Institutional Repository Σχολή Διοίκησης Επιχειρήσεων / School of Business Τμήμα Διοικητικής Επιστήμης και Τεχνολογίας / Department of Management Science and Technology Διδακτορικές διατριβές / PhD Theses

Title :	Tools and methods for large scale empirical software engineering research

Alternative Title :	Εργαλεία και τεχνικές για μεγάλης κλίμακας εμπειρικές έρευνες στην τεχνολογία λογισμικού

Creator :	Γούσιος, Γεώργιος Ι. Gousios, Georgios I.

Contributor :	Spinellis, Diomidis (Επιβλέπων καθηγητής) Athens University of Economics and Business, Department of Management Science and Technology (Degree granting institution)

Type :	Text

Extent :	166p.

Language :	en

Identifier :	http://www.pyxida.aueb.gr/index.php?op=view_object&object_id=6643

Abstract :	In this thesis, we investigate novel ways to integrate process and product data fromvarious oss repositories in an effort to build an open Software Engineering ResearchPlatform (serp) consisting of both software tools and shared data. We base our workon sqo-oss, a tool designed to perform software quality analysis. We analyse the designof the raw data and metadata storage formats and as part of its implementation,we develop novel solutions to the problems of: (i) representing distributed and centralisedsource configuration management data in relational format (ii) identifying andresolving developer identities across data sources, and (iii) efficiently representing anddistributing processing workload towards fully exploiting the available hardware

Abstract :

In this thesis, we investigate novel ways to integrate process and product data fromvarious oss repositories in an effort to build an open Software Engineering ResearchPlatform (serp) consisting of both software tools and shared data. We base our workon sqo-oss, a tool designed to perform software quality analysis. We analyse the designof the raw data and metadata storage formats and as part of its implementation,we develop novel solutions to the problems of: (i) representing distributed and centralisedsource configuration management data in relational format (ii) identifying andresolving developer identities across data sources, and (iii) efficiently representing anddistributing processing workload towards fully exploiting the available hardware

Subject :	Metric tools Data Software engineering

Date Created :	30-9-2009

Date Available :	2018-12-31 15:35:25

Access Rights :	Free access

Licence :

File: Gousios_2009.pdf

Type: application/pdf

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