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Towards early software reliability prediction for computer forensic tools (case study).

Manar Abu Talib1

  • 1Department of Computer Science, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates.

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Summary
This summary is machine-generated.

This study introduces a Markov model approach to assess computer forensic tool reliability. This method enhances early-stage development and component selection for robust software forensics.

Keywords:
COSMIC-FFPComponent-basedComputer forensic toolISO/IEC 19761:2003Markov modelReliability prediction

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Area of Science:

  • Computer Science
  • Software Engineering
  • Digital Forensics

Background:

  • Software forensic tools require versatility, flexibility, and robustness.
  • Assessing the reliability of these tools is crucial for researchers and practitioners.
  • Markov models offer a robust method for analyzing component-based systems.

Purpose of the Study:

  • To extend architecture-based software reliability prediction models for computer forensic tools.
  • To enable probabilistic analysis of component and overall tool reliability using Markov chains.
  • To facilitate early-stage reliability evaluation, improve long-term assessment, and compare tool designs.

Main Methods:

  • Linking each component of a computer forensic tool to a discrete time Markov chain.
  • Applying Markov chain analysis for probabilistic reliability assessment.
  • Utilizing the COSMIC-FFP (Common Software Measurement International Function Point) framework.

Main Results:

  • A framework for assessing component-based tool reliability in the COSMIC-FFP context was developed.
  • The proposed method allows for evaluating tool reliability during early development phases.
  • The approach aids in selecting optimal component topologies to maximize overall tool reliability.

Conclusions:

  • The proposed Markov model-based approach provides a reliable method for assessing computer forensic tools.
  • This technique assists designers in meeting end-user reliability expectations.
  • The case study with Forensic Toolkit Imager demonstrates the practical application of the reliability assessment method.