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Design and Analysis for Fall Detection System Simplification
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Automated black-box boundary value detection.

Felix Dobslaw1, Robert Feldt2, Francisco Gomes de Oliveira Neto3

  • 1Department of Communication, Quality Management and Information Systems, Mid Sweden University, Östersund, Jämtland, Sweden.

Peerj. Computer Science
|December 11, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces an automated method for boundary value analysis in software testing. The AutoBVA approach identifies critical input boundaries without needing a software specification, improving software quality.

Keywords:
Boundary value analysisBoundary value detectionBoundary value explorationProgram derivativeSoftware testing

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Area of Science:

  • Software Engineering
  • Computer Science
  • Software Testing

Background:

  • Boundary value analysis is crucial for software quality but often abstract and requires specifications.
  • Existing methods for boundary value analysis are limited by the need for a software model or specification.

Purpose of the Study:

  • To propose an automated, black-box method for detecting boundary values in software systems.
  • To support software testers in performing systematic boundary value analysis without relying on specifications.

Main Methods:

  • Developed an automated black-box boundary value detection method called AutoBVA.
  • Utilized a 'program derivative' metric to quantify the boundariness of test inputs.
  • Combined the program derivative metric with search algorithms to identify input pairs with distant outputs.

Main Results:

  • Evaluated AutoBVA on example programs and 613 Julia language functions.
  • Successfully identified boundary candidates in over 70% of the investigated systems.
  • Demonstrated that the program derivative metric effectively finds interesting boundary candidates.

Conclusions:

  • The automated boundary value detection method (AutoBVA) is effective for diverse software systems.
  • The approach can be extended to more complex systems and data types.
  • AutoBVA enhances systematic boundary value analysis in software testing.