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A Mechanism to Support Agile Frameworks Enhancing Reliability Assessment for SCS Development: A Case Study of Medical Surgery Departments

  • Abdulaziz Ahmed ThawabaEmail author
  • Azizul Azhar Ramli
  • Mohd. Farhan Md. Fudzee
  • Junzo Wadata
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 978)

Abstract

Safety-critical systems (SCSs) are distributed in many areas such as flight, railway, medical, nuclear and defense, and failure of these systems can harm human life or damage the environment. There are several ways to reduce or possibly eliminate failure, according to researchers improving the development processes of SCSs reduces failure by 40%. Therefore, developers have invented many development methods and measurement techniques to reduce failures during development processes. Agile Software Development (ASD) has entered the field of safety-critical system development (SCSD) in the past few years. Agile has produced reliable and high-quality products by expanding its principles and adapting new measurement techniques. However, there is still a gap in improving measurement techniques and stopping failures. This paper proposed a new measurement mechanism called Package Metrics for Improving Software Development (PM-ISD). The proposed measurement enhances reliability assessment and decision-making during agile development processes. PM-ISD assists the Agile management team throughout the Medical Surgery Department (MSD) project phases to track the completion of tasks.

Keywords

Safety-critical systems (SCSs) Safety critical-system development (SCSD) Agile software development (ASD) Scaled agile framework (SAFe) Area: system development Performance 

Notes

Acknowledgments

This work is sponsored by Universiti Tun Hussein Onn Malaysia under TIER1 FASA 1/2007, UTHM Research Grant (VOT U896) and Gates IT Sdn. Bhd.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Abdulaziz Ahmed Thawaba
    • 1
    Email author
  • Azizul Azhar Ramli
    • 1
  • Mohd. Farhan Md. Fudzee
    • 1
  • Junzo Wadata
    • 2
  1. 1.Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein Onn MalaysiaParit Raja, Batu PahatMalaysia
  2. 2.Computer and Information Sciences Department Center for Research in Data Science (CERDAS)Universiti Teknologi PETRONASSeri IskandarMalaysia

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