Proposing and empirically validating change impact analysis metrics

Elvira Maria Arvanitou

Proposing and empirically validating change impact analysis metrics

Vertaalde titel van de bijdrage: Het voorstellen en empirisch valideren van meeteenheden voor impactanalyse van veranderingen

Elvira Maria Arvanitou

Software Engineering

Onderzoeksoutput

1535 Downloads (Pure)

Samenvatting

Dit PhD-project richt zich op het voorstellen van methoden en hulpmiddelen voor het beoordelen van veranderbaarheid en instabiliteit. Deze twee kwaliteitsattributen zijn van groot belang voor het uitvoeren van een efficiënte analyse van de veranderingseffecten, die van vitaal belang is tijdens de onderhoudsfase van de software. Wijzigingsimpactanalyse is belangrijk, zowel vóór als na de toepassing van de wijziging. Het project houdt rekening met bestaande literatuur, waarin we specifieke beperkingen hebben geïdentificeerd: (a) gebrek aan metrieken in de fasen van het architectonisch ontwerp en de vereisten, (b) gebrek aan nauwkeurigheid van de gegevens bij de implementatie en gedetailleerde ontwerpfasen, en (c) gebrek aan hulpmiddelen die het proces van de berekening ervan kunnen automatiseren. Rekening houdend met de bovengenoemde beperkingen, stelt het project vier nieuwe metrieken voor om de gevoeligheid en instabiliteit van veranderingen te kwantificeren op het niveau van eisen, architectuurontwerp en broncode. Alle statistieken zijn strikt gevalideerd met behulp van empirische methoden, zoals casestudy's over open source en industriële software, evenals wiskundige bewijzen. Empirische validatie is uitgevoerd op basis van de IEEE-standaard voor softwaremeting. De resultaten van alle onderzoeken suggereerden dat de voorgestelde meetwaarden de meest accurate voorspellers zijn van veranderlijkheid en instabiliteit. Op basis van de bevindingen zijn verschillende bruikbare resultaten voor zowel behandelaars als onderzoekers naar voren gekomen. Om de toepasbaarheid van de voorgestelde methoden in de praktijk te ondersteunen, worden alle statistieken vergezeld van een bijbehorende tool die hun berekening voor Java-projecten automatiseert.

Vertaalde titel van de bijdrage	Het voorstellen en empirisch valideren van meeteenheden voor impactanalyse van veranderingen
Originele taal-2	English
Kwalificatie	Doctor of Philosophy
Toekennende instantie	Rijksuniversiteit Groningen
Begeleider(s)/adviseur	Avgeriou, Paris, Supervisor Chatzigeorgiou, Alexandros, Supervisor, Externe Persoon Ampatzoglou, Apostolos, Co-supervisor
Datum van toekenning	13-jul.-2018
Plaats van publicatie	[Groningen]
Uitgever	University of Groningen
Gedrukte ISBN's	978-94-034-0752-4
Elektronische ISBN's	978-94-034-0751-7
Status	Published - 2018

Toegang tot document

Title and contentsFinal publisher's version, 1,6 MB
Chapter 1Final publisher's version, 3,01 MB
Chapter 2Final publisher's version, 5,39 MB
Chapter 3Final publisher's version, 4,91 MB
Chapter 4Final publisher's version, 3,5 MB
Chapter 5Final publisher's version, 3,57 MB
Chapter 6Final publisher's version, 3,61 MB
Chapter 7Final publisher's version, 3,95 MB
Chapter 8Final publisher's version, 2,61 MB
AppendicesFinal publisher's version, 4,14 MB
ReferencesFinal publisher's version, 1,09 MB
IndexFinal publisher's version, 889 KB
Complete thesisFinal publisher's version, 12,5 MB
PropositionsFinal publisher's version, 152 KB

Handle.net

Permanente koppeling

Citeer dit

@phdthesis{8b6f34c5db66497faee3e8138da33040,

title = "Proposing and empirically validating change impact analysis metrics",

abstract = "This PhD project focuses on proposing methods and tools for assessing change proneness and instability. These two quality attributes are of great importance for performing efficient change impact analysis, which is vital during the software maintenance phase. Change impact analysis is important both before and after the application of the change. The project takes into account existing literature, in which we have identified specific limitations: (a) lack of metrics at the architectural design and requirements phases, (b) lack of metrics accuracy at the implementation and detailed-design phases, and (c) lack of tools that can automate the process of calculating them. Considering the aforementioned limitations, the project proposes four novel metrics for quantifying change proneness and instability at the level of requirements, architectural design and source-code. All metrics have been rigorously validated using empirical practices, such as case studies on open-source and industrial software, as well as mathematical proofs. Empirical validation has been performed based on the IEEE Standard on Software Measurement. The results of all studies suggested that the proposed metrics are the most accurate predictors of change proneness and instability. Based on the findings several actionable results for both practitioners and researchers have emerged. To support the applicability of the proposed methods in practice, all metrics are accompanied by a corresponding tool that automates their calculation for java projects.",

author = "Arvanitou, {Elvira Maria}",

year = "2018",

language = "English",

isbn = "978-94-034-0752-4",

publisher = "University of Groningen",

school = "University of Groningen",

}

TY - BOOK

T1 - Proposing and empirically validating change impact analysis metrics

AU - Arvanitou, Elvira Maria

PY - 2018

Y1 - 2018

N2 - This PhD project focuses on proposing methods and tools for assessing change proneness and instability. These two quality attributes are of great importance for performing efficient change impact analysis, which is vital during the software maintenance phase. Change impact analysis is important both before and after the application of the change. The project takes into account existing literature, in which we have identified specific limitations: (a) lack of metrics at the architectural design and requirements phases, (b) lack of metrics accuracy at the implementation and detailed-design phases, and (c) lack of tools that can automate the process of calculating them. Considering the aforementioned limitations, the project proposes four novel metrics for quantifying change proneness and instability at the level of requirements, architectural design and source-code. All metrics have been rigorously validated using empirical practices, such as case studies on open-source and industrial software, as well as mathematical proofs. Empirical validation has been performed based on the IEEE Standard on Software Measurement. The results of all studies suggested that the proposed metrics are the most accurate predictors of change proneness and instability. Based on the findings several actionable results for both practitioners and researchers have emerged. To support the applicability of the proposed methods in practice, all metrics are accompanied by a corresponding tool that automates their calculation for java projects.

AB - This PhD project focuses on proposing methods and tools for assessing change proneness and instability. These two quality attributes are of great importance for performing efficient change impact analysis, which is vital during the software maintenance phase. Change impact analysis is important both before and after the application of the change. The project takes into account existing literature, in which we have identified specific limitations: (a) lack of metrics at the architectural design and requirements phases, (b) lack of metrics accuracy at the implementation and detailed-design phases, and (c) lack of tools that can automate the process of calculating them. Considering the aforementioned limitations, the project proposes four novel metrics for quantifying change proneness and instability at the level of requirements, architectural design and source-code. All metrics have been rigorously validated using empirical practices, such as case studies on open-source and industrial software, as well as mathematical proofs. Empirical validation has been performed based on the IEEE Standard on Software Measurement. The results of all studies suggested that the proposed metrics are the most accurate predictors of change proneness and instability. Based on the findings several actionable results for both practitioners and researchers have emerged. To support the applicability of the proposed methods in practice, all metrics are accompanied by a corresponding tool that automates their calculation for java projects.

M3 - Thesis fully internal (DIV)

SN - 978-94-034-0752-4

PB - University of Groningen

CY - [Groningen]

ER -

Proposing and empirically validating change impact analysis metrics

Samenvatting

Toegang tot document

Handle.net

Vingerafdruk

Citeer dit