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Software Reliability Analysis of NASA Space Flight Software: A Practical Experience.

Harish Sukhwani1, Javier Alonso1,2, Kishor S Trivedi1

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IEEE International Conference on Software Quality, Reliability and Security : Proceedings. IEEE International Conference on Software Quality, Reliability and Security
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Summary

This study analyzed flight software reliability using defect reports from a space mission. Most software releases showed reliability growth, but early testing on new hardware caused issues and decay in some releases.

Keywords:
Defect ReportsFlight SoftwareIncremental DevelopmentSoftware ReliabilitySoftware Reliability Growth Models

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Area of Science:

  • Software Engineering
  • Space Mission Assurance
  • Reliability Engineering

Background:

  • Flight software development involves multiple releases across all life-cycle phases.
  • Testing occurs on diverse hardware platforms, from emulation to flight hardware.
  • Understanding software reliability is critical for mission success.

Purpose of the Study:

  • To perform a software reliability analysis of flight software for a recent space mission.
  • To identify factors influencing software reliability growth and decay.
  • To provide insights for improving future space mission software development processes.

Main Methods:

  • Utilized defect reports from the flight software development phase.
  • Applied Software Reliability Growth Models (SRGM), specifically Log-Logistic (NHPP) and S-Shaped (NHPP), for releases exhibiting growth.
  • Fitted distribution functions for releases without clear growth or decay patterns.
  • Investigated causes for reliability decay in specific software releases.

Main Results:

  • Most software releases demonstrated reliability growth.
  • Log-Logistic (NHPP) and S-Shaped (NHPP) models were the best fit for reliable growth.
  • Releases tested first on new hardware platforms exhibited reliability decay due to integration issues and time pressure.
  • Hardware specification changes and vendor delays also impacted reliability.

Conclusions:

  • Software reliability analysis provides critical insights for process improvement.
  • Early hardware integration challenges significantly impact software reliability.
  • Findings establish a baseline for future NASA space mission flight software development using product line engineering.