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Evolutionary mutation testing for IoT with recorded and generated events
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/stvr.226openalex-snapshot
Toward the determination of sufficient mutant operators for C†
inferredcites →https://doi.org/10.1007/3-540-61723-xopenalex-snapshot
Parallel Problem Solving from Nature — PPSN IV
inferredcites →https://doi.org/10.1007/978-3-319-91764-1_18openalex-snapshot
Sustainable WAsTe Collection (SWAT): One Step Towards Smart and Spotless Cities
inferredcites →https://doi.org/10.1007/978-3-540-88808-6_2openalex-snapshot
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
inferredcites →https://doi.org/10.1007/978-3-642-23229-9_8openalex-snapshot
A Comprehensive Survey on Fitness Landscape Analysis
inferredcites →https://doi.org/10.1007/bf00625279openalex-snapshot
Two notions of correctness and their relation to testing
inferredcites →https://doi.org/10.1007/s10703-009-0065-1openalex-snapshot
Conformance testing for real-time systems
inferredcites →https://doi.org/10.1016/j.adhoc.2015.03.002openalex-snapshot
How to choose an experimentation platform for wireless sensor networks? A survey on static and mobile wireless sensor network experimentation facilities
inferredcites →https://doi.org/10.1016/j.entcs.2006.10.010openalex-snapshot
Test Case Generation for Mutation-based Testing of Timeliness
inferredcites →https://doi.org/10.1016/j.infsof.2006.06.009openalex-snapshot
Mutating database queries
inferredcites →https://doi.org/10.1016/j.infsof.2011.03.008openalex-snapshot
Evolutionary mutation testing
inferredcites →https://doi.org/10.1016/j.jss.2017.06.037openalex-snapshot
IoT–TEG: Test event generator system
inferredcites →https://doi.org/10.1016/j.procs.2017.08.265openalex-snapshot
The IoT-based heart disease monitoring system for pervasive healthcare service
inferredcites →https://doi.org/10.1023/a:1008096431840openalex-snapshot
Verifying Timing Constraints of Real-Time Systems by Means of Evolutionary Testing
inferredcites →https://doi.org/10.1023/a:1018551716639openalex-snapshot
Testing real-time systems using genetic algorithms
inferredcites →https://doi.org/10.1109/access.2018.2802489openalex-snapshot
IoT-TaaS: Towards a Prospective IoT Testing Framework
inferredcites →https://doi.org/10.1109/ast.2007.5openalex-snapshot
Automated Testing of Timeliness : A Case Study
inferredcites →https://doi.org/10.1109/cmpsac.2004.1342848openalex-snapshot
Mutation-based testing criteria for timeliness
inferredcites →https://doi.org/10.1109/ecows.2009.18openalex-snapshot
GAmera: An Automatic Mutant Generation System for WS-BPEL Compositions
inferredcites →https://doi.org/10.1109/i-smac.2017.8058270openalex-snapshot
A survey of Internet of Things in fire detection and fire industries
inferredcites →https://doi.org/10.1109/iccae.2010.5451692openalex-snapshot
Mutation operators for object-oriented systems: A survey
inferredcites →https://doi.org/10.1109/issre.2012.20openalex-snapshot
Mutation Testing of Event Processing Queries
inferredcites →https://doi.org/10.1109/scam.2008.36openalex-snapshot
Constructing Subtle Faults Using Higher Order Mutation Testing
inferredcites →https://doi.org/10.1109/tevc.2004.840835openalex-snapshot
An Evolutionary Algorithm With Guided Mutation for the Maximum Clique Problem
inferredcites →https://doi.org/10.1109/trustcom.2012.20openalex-snapshot
A Comprehensive Ontology for Knowledge Representation in the Internet of Things
inferredcites →https://doi.org/10.1109/tse.2010.62openalex-snapshot
An Analysis and Survey of the Development of Mutation Testing
inferredcites →https://doi.org/10.1145/1266894.1266934openalex-snapshot
Event-driven rules for sensing and responding to business situations
inferredcites →https://doi.org/10.5220/0003611901430148openalex-snapshot
TOWARDS HIGHER-ORDER MUTANT GENERATION FOR WS-BPEL
inferredcites →https://doi.org/10.5860/choice.27-0936openalex-snapshot
Genetic algorithms in search, optimization, and machine learning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.2664openalex-snapshot
Integration of Cloud, Internet of Things, and Big Data Analytics
inferred← citeshttps://doi.org/10.1002/spe.3311openalex-snapshot
Model‐based digital twins of medicine dispensers for healthcare IoT applications
inferred← citeshttps://doi.org/10.1002/stvr.70005openalex-snapshot
Tempus: An Evolutionary Mutation Testing System on Event‐Based Systems With Profile‐Based Individual Generation
inferred← citeshttps://doi.org/10.1007/978-3-030-41964-6_11openalex-snapshot
A Trading Framework Based on Fuzzy Moore Machines
inferred← citeshttps://doi.org/10.1007/978-981-15-3380-8_31openalex-snapshot
Mutation Operators for Google Query Language
inferred← citeshttps://doi.org/10.1007/s11219-020-09530-1openalex-snapshot
Evaluation of alternative design choices for evolutionary mutation testing by means of automated configuration
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.09.003openalex-snapshot
Evaluation of EPL mutation operators with the MuEPL mutation system
inferred← citeshttps://doi.org/10.1016/j.eswa.2021.114748openalex-snapshot
SqSelect: Automatic assessment of Failed Error Propagation in state-based systems
inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106317openalex-snapshot
An experimental and practical study on the equivalent mutant connection: An evolutionary approach
inferred← citeshttps://doi.org/10.1016/j.iot.2021.100400openalex-snapshot
Towards a cell-inspired approach for a sustainable internet-of-things
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111744openalex-snapshot
A Grey Literature Review on Data Stream Processing applications testing
inferred← citeshttps://doi.org/10.1109/access.2020.3032497openalex-snapshot
A Wearable Fall Detection System Based on Body Area Networks
inferred← citeshttps://doi.org/10.1109/cec48606.2020.9185561openalex-snapshot
Generating Tree Inputs for Testing using Evolutionary Computation Techniques
inferred← citeshttps://doi.org/10.1109/cec48606.2020.9185618openalex-snapshot
Combining Evolutionary Mutation Testing with Random Selection
inferred← citeshttps://doi.org/10.1109/cec48606.2020.9185675openalex-snapshot
Feature Selection using Evolutionary Computation Techniques for Software Product Line Testing
inferred← citeshttps://doi.org/10.1109/chilecon47746.2019.8987448openalex-snapshot
A Survey on Mutation Testing Approaches
inferred← citeshttps://doi.org/10.1109/icse43902.2021.00051openalex-snapshot
IoT Bugs and Development Challenges
inferred← citeshttps://doi.org/10.1109/jiot.2019.2909434openalex-snapshot
Test Event Generation for a Fall-Detection IoT System
inferred← citeshttps://doi.org/10.1109/tr.2021.3087781openalex-snapshot
IoT-TEG 4.0: A New Approach 4.0 for Test Event Generation
inferred← citeshttps://doi.org/10.1109/tse.2024.3363611openalex-snapshot
A Systematic Review of IoT Systems Testing: Objectives, Approaches, Tools, and Challenges
inferred← citeshttps://doi.org/10.1145/3341105.3373920openalex-snapshot
Estimating fault masking using squeeziness based on Rényi's entropy
inferred← citeshttps://doi.org/10.1145/3533767.3534365openalex-snapshot
Understanding device integration bugs in smart home system
inferred← citeshttps://doi.org/10.1145/3708534openalex-snapshot
MeDeT: Medical Device Digital Twins Creation with Few-shot Meta-learning
inferred← citeshttps://doi.org/10.1155/2021/1723535openalex-snapshot
Home Automation and RFID-Based Internet of Things Security: Challenges and Issues
inferred← citeshttps://doi.org/10.14288/1.0401501openalex-snapshot
Bugs and development challenges in IoT systems
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