Maintainability of Source Code and its Connection to Version Control History Metrics

Faragó Csaba
Maintainability of Source Code and its Connection to Version Control History Metrics.
Doctoral thesis (PhD), University of Szeged.
(2017) (Unpublished)

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Abstract in foreign language

The thesis consists of two main topics: program slicing and the impact of version control history metrics on maintainability. There is a strong connection between them: the maintainability of program source code. One of the usages of program slicing is to improve the maintenance of the source code, helping the programmer by highlighting the relevant parts of it. With this technique the developer can eliminate the source code irrelevant from a certain problem viewpoint, and observe only those statements which really influence the erroneous part. In this thesis we focus on the unstructured statements handling in a certain dynamic program slicing algorithm. In the topic of version control history analysis we try to find evidence why code maintainability decreases. The seventh law of Lehman is about declining quality, and it states that the quality of a real-world software system will appear to be declining unless it is rigorously maintained and adapted to operational environment changes In the second part of this thesis we deal with the connection between this code decay and some version control history metrics. Although both the topic of maintainability and the software repositories mining are thoroughly analyzed research fields, we are not aware of any study which deals with the, strictly speaking, connection between version control history metrics and the maintainability of the source code. So in this thesis we present a pioneer work in this young research field.

Item Type: Thesis (Doctoral thesis (PhD))
Creators: Faragó Csaba
Hungarian title: Forráskód karbantarthatóság és annak kapcsolata verziókövető történeti metrikákkal
Supervisor(s):
Supervisor
Position, academic title, institution
MTMT author ID
Ferenc Rudolf
habilitált egyetemi docens, PhD, SZTE TTIK Szoftverfejlesztés Tanszék
10012533
Subjects: 01. Natural sciences > 01.02. Computer and information sciences
Divisions: Doctoral School of Computer Science
Discipline: Engineering > Information Technology
Language: English
Date: 2017. March 23.
Item ID: 2948
MTMT identifier of the thesis: 3267099
doi: https://doi.org/10.14232/phd.2948
Date Deposited: 2016. May. 03. 19:08
Last Modified: 2020. May. 04. 08:52
Depository no.: B 6194
URI: https://doktori.bibl.u-szeged.hu/id/eprint/2948
Defence/Citable status: Defended.

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