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How to test your concurrent software: an approach for the selection of testing techniques

Published: 23 October 2017 Publication History

Abstract

High-Performance Computing (HPC) applications consist of concurrent programs with multi-process and/or multithreaded models with varying degrees of parallelism. Although their design patterns, models, and principles are similar to those of sequential ones, their non-deterministic behavior makes the testing activity more complex. In an attempt to solve such complexity, several techniques for concurrent software testing have been developed over the past years. However, the transference of knowledge between academy and industry remains a challenge, mainly due to the lack of a solid base of evidence with information that assists the decision-making process. This paper proposes the construction of a body of evidence for the concurrent programming field that supports the selection of an adequate testing technique for a software project. We propose a characterization schema which assists the decision-making support and is based on relevant information from the technical literature regarding available techniques, attributes, and concepts of concurrent programming that affect the testing process. The schema classified 109 studies that compose the preliminary body of evidence. A survey was conducted with specialists for the validation of the schema, regarding adequacy and relevance of the attributes defined. The results indicate the schema is effective and can support testing teams for concurrent applications.

References

[1]
Natalia Juristo, Ana M. Moreno, and Sira Vegas. 2004. Towards Building a Solid Empirical Body of Knowledge in Testing Techniques. ACM SIGSOFT Software Engineering Notes 29, 5 (2004), 1–4.
[2]
Sira Vegas and Victor Basili. 2005. A Characterisation Schema for Software Testing Techniques. Empir. Softw. Eng. 10, 4 (2005), 437–466.

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  • (2020)Towards a unified catalog of attributes to guide industry in software testing technique selection2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW50294.2020.00071(398-407)Online publication date: Oct-2020
  • (2019)Performance Evaluation of Data Race Detection Based on Thread Sharing Analysis With Different Granularities: An Empirical StudyIEEE Access10.1109/ACCESS.2019.29209477(73819-73829)Online publication date: 2019

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  1. How to test your concurrent software: an approach for the selection of testing techniques

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    cover image ACM Conferences
    SEPS 2017: Proceedings of the 4th ACM SIGPLAN International Workshop on Software Engineering for Parallel Systems
    October 2017
    47 pages
    ISBN:9781450355179
    DOI:10.1145/3141865
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 23 October 2017

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    Author Tags

    1. Body of Evidence
    2. Concurrent Programming
    3. Empirical Software Engineering
    4. Software Engineering
    5. Software Testing

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    • (2020)Towards a unified catalog of attributes to guide industry in software testing technique selection2020 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW50294.2020.00071(398-407)Online publication date: Oct-2020
    • (2019)Performance Evaluation of Data Race Detection Based on Thread Sharing Analysis With Different Granularities: An Empirical StudyIEEE Access10.1109/ACCESS.2019.29209477(73819-73829)Online publication date: 2019

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