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Using Clustering for Package Cohesion Measurement in Aspect-Oriented Systems

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Information and Communication Technology for Intelligent Systems

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 106))

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Abstract

Packages are basic programme units in any object-oriented system including aspect-oriented systems, which allow the grouping of dependent elements. The cohesion of a package is the degree of encapsulation among the elements in the package. For any software to exhibit high quality, it must have high cohesion. Many metrics have been framed in the past to measure the cohesion in aspect-oriented systems but all metrics are defined at the class level. Most of the research focused on the class of structural cohesion metrics which measures cohesion by software design extracted from the source code. The aim of this paper is to propose an approach to explore the use of hierarchical clustering technique for improving the cohesion of packages in aspect-oriented. The results obtained from our approach are then compared with the already available metrics. The achieved results show that our proposed approach determines the cohesion of packages more accurately.

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Author information

Authors and Affiliations

  1. Department of Information Technology, U.I.E.T, Panjab University, Chandigarh, India

    Puneet Jai Kaur

  2. Department of Computer Science and Engineering, U.I.E.T, Panjab University, Chandigarh, India

    Sakshi Kaushal

Authors
  1. Puneet Jai Kaur
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  2. Sakshi Kaushal
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Corresponding author

Correspondence to Puneet Jai Kaur .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India

    Suresh Chandra Satapathy

  2. Sabar Institute of Technology, Gujarat Technological University, Ahmedabad, Gujarat, India

    Amit Joshi

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Kaur, P.J., Kaushal, S. (2019). Using Clustering for Package Cohesion Measurement in Aspect-Oriented Systems. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 106. Springer, Singapore. https://doi.org/10.1007/978-981-13-1742-2_26

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