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Some observations on partition testing

Authors:

B. Jeng,

E. WeyukerAuthors Info & Claims

ACM SIGSOFT Software Engineering Notes, Volume 14, Issue 8

Pages 38 - 47

https://doi.org/10.1145/75309.75314

Published: 01 November 1989 Publication History

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References

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T.A. Budd, R.A. DeMillo, R.J. Lipton, and F.G. Sayward, Theoretical and Empirical Studies on Using Program Mutation to Test the Functional Correctness of Programs, Proc.7th Annual Symp. on Principles of Programming Languages, Las Vegas, 1980, pp.220-233 .

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Cited By

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Czemerinski HBraberman VUchitel S(2016)Behaviour abstraction adequacy criteria for API call protocol testingSoftware Testing, Verification & Reliability10.1002/stvr.159326:3(211-244)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1002/stvr.1593
Stocks PCarrington DBasili VDeMillo RKatayama T(1993)Test templatesProceedings of the 15th international conference on Software Engineering10.5555/257572.257664(405-414)Online publication date: 21-May-1993
https://dl.acm.org/doi/10.5555/257572.257664
Stocks PCarrington D(1993)Test templates: a specification-based testing frameworkProceedings of 1993 15th International Conference on Software Engineering10.1109/ICSE.1993.346025(405-414)Online publication date: 1993
https://doi.org/10.1109/ICSE.1993.346025
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Index Terms

Some observations on partition testing
1. Software and its engineering
  1. Software creation and management
    1. Software verification and validation
      1. Software defect analysis
        Software testing and debugging
  2. Software organization and properties
    1. Software functional properties
      1. Correctness
2. Theory of computation
  1. Logic
    1. Proof theory

Recommendations

Adaptive Partition Testing

Random testing and partition testing are two major families of software testing techniques. They have been compared both theoretically and empirically in numerous studies for decades, and it has been widely acknowledged that they have their own ...
Partition Testing vs. Random Testing: The Influence of Uncertainty

This paper compares partition testing and random testing on the assumption that program failure rates are not known with certainty before testing and are, therefore, modeled by random variables. It is shown that under uncertainty, partition testing ...
On Comparisons of Random, Partition, and Proportional Partition Testing

Early studies of random versus partition testing used the probability of detecting at least one failure as a measure of test effectiveness and indicated that partition testing is not significantly more effective than random testing. More recent studies ...

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cover image ACM SIGSOFT Software Engineering Notes

ACM SIGSOFT Software Engineering Notes Volume 14, Issue 8

Dec. 1989

213 pages

ISSN:0163-5948

DOI:10.1145/75309

Editor:
Richard N. Taylor
Univ. of California, Irvine

Issue’s Table of Contents

TAV3: Proceedings of the ACM SIGSOFT '89 third symposium on Software testing, analysis, and verification
November 1989
229 pages
ISBN:0897913426
DOI:10.1145/75308
Editor:
Richard A. Kemmerer

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 November 1989

Published in SIGSOFT Volume 14, Issue 8

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Czemerinski HBraberman VUchitel S(2016)Behaviour abstraction adequacy criteria for API call protocol testingSoftware Testing, Verification & Reliability10.1002/stvr.159326:3(211-244)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1002/stvr.1593
Stocks PCarrington DBasili VDeMillo RKatayama T(1993)Test templatesProceedings of the 15th international conference on Software Engineering10.5555/257572.257664(405-414)Online publication date: 21-May-1993
https://dl.acm.org/doi/10.5555/257572.257664
Stocks PCarrington D(1993)Test templates: a specification-based testing frameworkProceedings of 1993 15th International Conference on Software Engineering10.1109/ICSE.1993.346025(405-414)Online publication date: 1993
https://doi.org/10.1109/ICSE.1993.346025
Herrmann JGrimm K(1992)Klassifikation von Software-TestmethodenTesten, Analysieren und Verifizieren von Software10.1007/978-3-642-77747-9_2(26-34)Online publication date: 1992
https://doi.org/10.1007/978-3-642-77747-9_2
Grochtmann MGrimm K(2006)Classification trees for partition testingSoftware Testing, Verification and Reliability10.1002/stvr.43700302033:2(63-82)Online publication date: 31-Oct-2006
https://doi.org/10.1002/stvr.4370030203
De Nicola Gdi Tommaso PRosaria EFrancesco FPietro MAntonio O(2005)A grey-box approach to the functional testing of complex automatic train protection systemsProceedings of the 5th European conference on Dependable Computing10.1007/11408901_23(305-317)Online publication date: 20-Apr-2005
https://dl.acm.org/doi/10.1007/11408901_23
De Nicola Gdi Tommaso PEsposito RFlammini FOrazzo A(2004)A Hybrid Testing Methodology for Railway Control SystemsComputer Safety, Reliability, and Security10.1007/978-3-540-30138-7_11(116-129)Online publication date: 2004
https://doi.org/10.1007/978-3-540-30138-7_11
Boland PSingh HCukic B(2003)Comparing Partition and Random Testing via Majorization and Schur FunctionsIEEE Transactions on Software Engineering10.1109/TSE.2003.116659129:1(88-94)Online publication date: 1-Jan-2003
https://dl.acm.org/doi/10.1109/TSE.2003.1166591
Reid S(1997)An empirical analysis of equivalence partitioning, boundary value analysis and random testingProceedings Fourth International Software Metrics Symposium10.1109/METRIC.1997.637166(64-73)Online publication date: 1997
https://doi.org/10.1109/METRIC.1997.637166
Ziv HRichardson D(1997)Constructing Bayesian-network models of software testing and maintenance uncertaintiesProceedings International Conference on Software Maintenance10.1109/ICSM.1997.624236(100-109)Online publication date: 1997
https://doi.org/10.1109/ICSM.1997.624236
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Recommendations

Adaptive Partition Testing

Partition Testing vs. Random Testing: The Influence of Uncertainty

On Comparisons of Random, Partition, and Proportional Partition Testing

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