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Salman, Nael

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https://hdl.handle.net/20.500.12416/9078
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Öğr. Gör.
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Bilgisayar Mühendisliği
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Former Staff
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Scholarly Output

2

Articles

2

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597/8

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0

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Scopus Citation Count

6

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1

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Scopus Citations per Publication

3.00

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Çankaya Üniversitesi Fen-Edebiyat Fakültesi, Journal of Arts and Sciences1
Journal of Integrated Design and Process Science1
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Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Complexity metrics as predictors of maintainability and ıntegrability of software components
    (Çankaya Üniversitesi, 2006) Salman, Nael
    The work presented in this paper introduces a set of metrics for component oriented software systems. The work focuses mainly on the complexity that results mainly from factors related to system structure and connectivity. Also, a new set of properties that a component-oriented complexity metric must possess are defined. The metrics have been evaluated using the properties defined in this paper. A case study has been conducted to detect the power of complexity metrics in predicting integration and maintenance efforts. The results of the study revealed that component oriented complexity metrics can be of great value in predicting both integration and maintenance efforts.
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    Article
    Citation - Scopus: 6
    Design Effort Estimation Using Complexity Metrics
    (2004) Salman, N.; Salman, Nael; Doǧru, A.; Bilgisayar Mühendisliği
    Component-oriented software development is a new trend and is becoming very popular these days. In addition to requiring a different development approach, the new orientation also requires a different metrics approach. A set of metrics for Component Oriented Software Engineering was first introduced in previous research. These metrics set were used to measure the quality of component-oriented software designs. The impact of these metrics on design effort is investigated in this paper. A statistical model is developed based on nine projects that carried out component-oriented software development. Design effort is expressed as a junction of a subset of the complexity metrics.