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Complexity Metrics for Component-Based Software System

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Soft Computing: Theories and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 742))

Abstract

Today, softwares are influencing almost every process involved in our day-to-day life. The dependence of our routine processes of software system makes the reliability of these softwares a major concern of industry. Various metrics and benchmark are designed to ensure the smooth design and implementation of software, among which complexity is one. It is always a desire software architect to design software with lesser complexity. In this paper, component-based software is considered and metrics to measure the complexity of the software is proposed. Complexity needs to be measured at component level and its relationship with other components. UML diagram is drawn to propose a new metrics, and dependency of one component to another component is measured. Various complexity metrics namely Method Complexity MCOM, Number of Calls to Other Methods (NCOM), Component Complexity (CCOM) is evaluated, and Emergent System Complexity (ESCOM) and overall complexity of the system are evaluated incorporating the contribution of each.

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Author information

Authors and Affiliations

  1. Amity School of Engineering and Technology, Amity University, Noida, Uttar Pradesh, India

    Rajni Sehgal, Deepti Mehrotra & Renuka Nagpal

Authors
  1. Rajni Sehgal
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  2. Deepti Mehrotra
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  3. Renuka Nagpal
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Corresponding author

Correspondence to Rajni Sehgal .

Editor information

Editors and Affiliations

  1. Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan, Jaipur, Rajasthan, India

    Kanad Ray

  2. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Tarun K. Sharma

  3. Department of Electronics and Communication Engineering, SEEC, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

  4. Institute of Basic Science, Bundelkhand University, Jhansi, Uttar Pradesh, India

    R. K. Saini

  5. Advanced Key Technologies Division, Nano Characterization Unit, Surface Characterization Group, National Institute for Materials Science, Tsukuba, Ibaraki, Japan

    Anirban Bandyopadhyay

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Sehgal, R., Mehrotra, D., Nagpal, R. (2019). Complexity Metrics for Component-Based Software System. In: Ray, K., Sharma, T., Rawat, S., Saini, R., Bandyopadhyay, A. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 742. Springer, Singapore. https://doi.org/10.1007/978-981-13-0589-4_2

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