Kılıç, Hürevren

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Profile URL
https://hdl.handle.net/20.500.14411/6745
Name Variants
H., Kilic
Hürevren, Kılıç
Hurevren, Kilic
Kiliç H.
H.,Kilic
H.,Kılıç
H., Kılıç
K., Hürevren
K.,Hurevren
Kılıç,H.
Kilic,H.
Hürevren Kılıç
K.,Hürevren
K., Hurevren
Kilic H.
Kılıç H.
Kılıç, Hürevren
Kilic, Hurevren
Kilic,Hurevren
Job Title
Profesör Doktor
Email Address
hurevren.kilic@atilim.edu.tr
Main Affiliation
Computer Engineering
Status
Website
https://www.atilim.edu.tr/tr/bilgisayar-muhendisligi-ana-bilim-dali/page/1620/akademik-kadro
ORCID ID
0000-0002-9058-0365
Scopus Author ID
Turkish CoHE Profile ID
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WoS Researcher ID

Sustainable Development Goals

2

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14

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17

PARTNERSHIPS FOR THE GOALS
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1

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5

GENDER EQUALITY
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16

PEACE, JUSTICE AND STRONG INSTITUTIONS
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8

DECENT WORK AND ECONOMIC GROWTH
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4

QUALITY EDUCATION
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1

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6

CLEAN WATER AND SANITATION
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2

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7

AFFORDABLE AND CLEAN ENERGY
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10

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SUSTAINABLE CITIES AND COMMUNITIES
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INDUSTRY, INNOVATION AND INFRASTRUCTURE
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Scholarly Output

34

Articles

8

Views / Downloads

38/0

Supervised MSc Theses

10

Supervised PhD Theses

0

WoS Citation Count

66

Scopus Citation Count

63

WoS h-index

4

Scopus h-index

5

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0

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0

WoS Citations per Publication

1.94

Scopus Citations per Publication

1.85

Open Access Source

2

Supervised Theses

10

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JournalCount
Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007 -- 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007 -- 21 February 2007 through 23 February 2007 -- Cairns -- 702542
International Journal of Engineering Education2
2014 IEEE Symposium on Intelligent Agents (IA) -- DEC 09-12, 2014 -- Orlando, FL1
21st Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2013 -- CYPRUS1
26th Annual International Symposium on Computer and Information Science -- SEP 26-28, 2011 -- Royal Soc London, London, ENGLAND1
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Subject: Software metrics

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Now showing 1 - 3 of 3
  • Thumbnail Image
    Master Thesis
    Çok Erkinli ve Petri Ağları ile Modellenmiş Sistemler için Bilgi Teorisi Tabanlı Bir Kapasite Hesaplama Metriği
    (2009) Bebek, Doğuş; Kılıç, Hürevren
    Bu tez çalışması, Bilgi Teorisinin Ayrık Parazitsiz Kanak konseptini baz alarak çok erkinli ve Petri Ağları ile modellenmiş sistemler için bir kapasite hesaplama metriği önermektedir. Önerilen metrik, ilgili sistemin çalışma anındaki maksimum bilgi kapasitesini sistemin dizayn aşamasında hesaplamaktadır. Ayrıca, ilgili metriğin verimsizlik ve durgunluk değerleri kullanılarak farklı tasarımlar karşılaştırılabilir ya da ilgili sistem üzerinde yapılması planlanan değişiklikler değerlendirilebilir. Çok erkinli sistemler paradigması yazılım mühendisliği alanında yeni bir paradigmadır ve çok erkinli sistemler içindeki erklerin iletişimi popular bir araştırma sahasıdır. Önerilen metriğin çok erkinli sistemlere uygulanması öncelikli olarak erkinler arası iletişim protokolleri daha sonrada çok erkinli iletişim topolojileri kullanılarak yapılmıştır. Peti Ağları, ayrık olay sistemlerinin modellenmesi için kullanılan araçlardır ayrıca literatürde yazılım sistemlerinin Petri Ağları ile modellenmesi üzerine bir çok çalışma mevcutdur. Önerilen metriğin, Petri ağları ile modellenmiş sistemlere uygulanması seyir kontrol sistemi örneği kullanılarak anlatılmıştır. Önerilen metriğin Petri Ağlarına uygulanması ile metriğin kullanım alanının genelleştirilmesi amaçlanmıştır.
  • Thumbnail Image
    Conference Object
    Citation - WoS: 17
    An Empirical Study About Search-Based Refactoring Using Alternative Multiple and Population-Based Search Techniques
    (Springer-verlag London Ltd, 2012) Koc, Ekin; Ersoy, Nur; Andac, Ali; Camlidere, Zelal Seda; Cereci, Ibrahim; Kilic, Hurevren
    Automated maintenance of object-oriented software system designs via refactoring is a performance demanding combinatorial optimization problem. In this study, we made an empirical comparative study to see the performances of alternative search algorithms under. a quality model defined by an aggregated software fitness metric. We handled 20 different refactoring actions that realize searches on design landscape defined by combination of 24 object-oriented software metrics. The investigated algorithms include random, steepest descent, multiple first descent, multiple steepest descent, simulated annealing and artificial bee colony searches. The study is realized by using a tool called A-CMA developed in Java that accepts bytecode compiled Java codes as its input. The empiricial study showed that multiple steepest descent and population-based artificial bee colony algorithms are two most suitable approaches for the efficient solution of the search based refactoring problem.
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 21
    An Empirical Study About Search-Based Refactoring Using Alternative Multiple and Population-Based Search Techniques
    (2012) Koc,E.; Ersoy,N.; Andac,A.; Camlidere,Z.S.; Cereci,I.; Kilic,H.
    Automated maintenance of object-oriented software system designs via refactoring is a performance demanding combinatorial optimization problem. In this study, we made an empirical comparative study to see the performances of alternative search algorithms under a quality model defined by an aggregated software fitness metric. We handled 20 different refactoring actions that realize searches on design landscape defined by combination of 24 object-oriented software metrics. The investigated algorithms include random, steepest descent, multiple first descent, multiple steepest descent, simulated annealing and artificial bee colony searches. The study is realized by using a tool called A-CMA developed in Java that accepts bytecode compiled Java codes as its input. The empiricial study showed that multiple steepest descent and population-based artificial bee colony algorithms are two most suitable approaches for the efficient solution of the search based refactoring problem. © 2012 Springer-Verlag London Limited.