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International Conference on Intelligent Systems Design and Applications

ISDA 2017: Intelligent Systems Design and Applications pp 262–272Cite as

An Automated Support Tool to Compute State Redundancy Semantic Metric

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

Abstract

Semantic metrics are quantitative measures of software quality characteristics based on semantic information extracted from the different phases of the software process. The empirical validation of these metrics is necessary required to consider them as quality indicators; which can’t be achieved only through their automatic computing based on the appropriate software tools. However, some semantic metrics are only based on theoretical formulation and require further empirical studies and experiments to validate and exploit them. This paper will take into consideration one of the theoretical metrics to be automatically calculated using various basic programs. The experimental results show that automatical computing of this metric is beneficial and fruitful in two sides. On one side, it has an efficient role in computing semantic metrics from the program functional attitude. On the other side, this step is essential to empirically validate this metric as a software quality indicator.

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Author information

Authors and Affiliations

  1. SMART Laboratory, Institut Supérieur de Gestion de Tunis, Université de Tunis, Tunis, Tunisia

    Dalila Amara, Ezzeddine Fatnassi & Latifa Rabai

Authors
  1. Dalila Amara
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  2. Ezzeddine Fatnassi
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  3. Latifa Rabai
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Corresponding author

Correspondence to Dalila Amara .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, South Asian University, Chanakyapuri, Delhi, India

    Pranab Kr. Muhuri

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Amara, D., Fatnassi, E., Rabai, L. (2018). An Automated Support Tool to Compute State Redundancy Semantic Metric. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_26

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

  • eBook Packages: EngineeringEngineering (R0)

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