research-article

Challenges and opportunities: an in-depth empirical study on configuration error injection testing

Authors:

Yuanliang Zhang,

Xiangke LiaoAuthors Info & Claims

ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis

Pages 478 - 490

https://doi.org/10.1145/3460319.3464799

Published: 11 July 2021 Publication History

ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis

Challenges and opportunities: an in-depth empirical study on configuration error injection testing

Pages 478 - 490

Abstract
References

Abstract

Configuration error injection testing (CEIT) could systematically evaluate software reliability and diagnosability to runtime configuration errors. This paper explores the challenges and opportunities of applying CEIT technique. We build an extensible, highly-modularized CEIT framework named CeitInspector to experiment with various CEIT techniques. Using CeitInspector, we quantitatively measure the effectiveness and efficiency of CEIT using six mature and widely-used server applications. During this process, we find a fair number of test cases are left unstudied by the prior research work. The injected configuration errors in these cases often indicate latent misconfigurations, which might be ticking time bombs in the system and lead to severe damage. We conduct an in-depth study regarding these cases to reveal the root causes, and explore possible remedies. Finally, we come up with actionable suggestions guided by our study to improve the effectiveness and efficiency of the existing CEIT techniques.

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Cited By

Li SGao HChen WLi YTian HLiu CYe D(2025)Characterizing and detecting Python version incompatibilities caused by inconsistent version specificationsJournal of Systems and Software10.1016/j.jss.2025.112337222(112337)Online publication date: Apr-2025
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Qiu YKon PBeckett RChen AWitchel EArpaci-Dusseau ARossbach CKeeton K(2024)Unearthing Semantic Checks for Cloud Infrastructure-as-Code ProgramsProceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles10.1145/3694715.3695974(574-589)Online publication date: 4-Nov-2024
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Liao HGuo JHuang BHan YYang DShi KDing JXu GYang GZhang LFilkov VRay BZhou M(2024)DeployFix: Dynamic Repair of Software Deployment Failures via Constraint SolvingProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695268(2053-2064)Online publication date: 27-Oct-2024
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Index Terms

Challenges and opportunities: an in-depth empirical study on configuration error injection 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 notations and tools
    1. Software configuration management and version control systems

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cover image ACM Conferences

ISSTA 2021: Proceedings of the 30th ACM SIGSOFT International Symposium on Software Testing and Analysis

July 2021

685 pages

ISBN:9781450384599

DOI:10.1145/3460319

General Chair:
Cristian Cadar
Imperial College London, UK
,
Program Chair:
Xiangyu Zhang
Purdue University, USA

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https://doi.org/10.1016/j.jss.2025.112337
Qiu YKon PBeckett RChen AWitchel EArpaci-Dusseau ARossbach CKeeton K(2024)Unearthing Semantic Checks for Cloud Infrastructure-as-Code ProgramsProceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles10.1145/3694715.3695974(574-589)Online publication date: 4-Nov-2024
https://dl.acm.org/doi/10.1145/3694715.3695974
Liao HGuo JHuang BHan YYang DShi KDing JXu GYang GZhang LFilkov VRay BZhou M(2024)DeployFix: Dynamic Repair of Software Deployment Failures via Constraint SolvingProceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering10.1145/3691620.3695268(2053-2064)Online publication date: 27-Oct-2024
https://dl.acm.org/doi/10.1145/3691620.3695268
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