Hierarchical process mining for scalable software analysis

M. Leemans

Hierarchical process mining for scalable software analysis

M. Leemans

Process Analytics

Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)

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Abstract

Analyzing Software Based on Real Execution Data

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Mathematics and Computer Science
Supervisors/Advisors	van der Aalst, W.M.P., Promotor van den Brand, Mark G.J., Promotor
Award date	6 Dec 2018
Place of Publication	Eindhoven
Publisher	Technische Universiteit Eindhoven
Print ISBNs	978-90-386-4618-3
Publication status	Published - 6 Dec 2018

Bibliographical note

Proefschrift

Keywords

Process Mining
Reverse Engineering
Process Discovery
Performance Analysis
Software Analysis
Event Logs
Hierarchical Modeling
Hierarchical Discovery
Hierarchical Performance Analysis
Hierarchical Event Logs
Cancelation Modeling
Cancelation Discovery
Software Process Analysis Methodology
Statechart Workbench
Software Analysis Workbench

Promotion : time and place

11:00h, Auditorium, Senaatszaal

Access to Document

publishers versionFinal published version, 20.4 MB

Cite this

@phdthesis{9a05fff5a6244492bbe05ed1be98d78e,

title = "Hierarchical process mining for scalable software analysis",

abstract = "Analyzing Software Based on Real Execution Data",

keywords = "Process Mining, Reverse Engineering, Process Discovery, Performance Analysis, Software Analysis, Event Logs, Hierarchical Modeling, Hierarchical Discovery, Hierarchical Performance Analysis, Hierarchical Event Logs, Cancelation Modeling, Cancelation Discovery, Software Process Analysis Methodology, Statechart Workbench, Software Analysis Workbench",

author = "M. Leemans",

note = "Proefschrift",

year = "2018",

month = dec,

day = "6",

language = "English",

isbn = "978-90-386-4618-3",

series = "SIKS Dissertation Series",

publisher = "Technische Universiteit Eindhoven",

type = "Phd Thesis 1 (Research TU/e / Graduation TU/e)",

school = "Mathematics and Computer Science",

}

TY - THES

T1 - Hierarchical process mining for scalable software analysis

AU - Leemans, M.

N1 - Proefschrift

PY - 2018/12/6

Y1 - 2018/12/6

N2 - Analyzing Software Based on Real Execution Data

AB - Analyzing Software Based on Real Execution Data

KW - Process Mining

KW - Reverse Engineering

KW - Process Discovery

KW - Performance Analysis

KW - Software Analysis

KW - Event Logs

KW - Hierarchical Modeling

KW - Hierarchical Discovery

KW - Hierarchical Performance Analysis

KW - Hierarchical Event Logs

KW - Cancelation Modeling

KW - Cancelation Discovery

KW - Software Process Analysis Methodology

KW - Statechart Workbench

KW - Software Analysis Workbench

M3 - Phd Thesis 1 (Research TU/e / Graduation TU/e)

SN - 978-90-386-4618-3

T3 - SIKS Dissertation Series

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -

Hierarchical process mining for scalable software analysis

Abstract

Bibliographical note

Keywords

Promotion : time and place

Access to Document

Other files and links

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Cite this