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Paper Citation Record · LEDGER

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems

As of 16 August 2026, this Paper Citation Record lists 100 of 114 outbound references and 0 inbound Pith citation observations for arXiv:2412.03843.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.03843 v3

Coverage vector

measured 100 of 114 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:06:44.647003Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 114 outbound references displayed

  • verified exact9
  • verified fuzzy0
  • unresolved82
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24efb718-60c8-4ad0-a68b-35fc9d0538d2 · outbound

This paper cites Coverage based testing for v&v and safety assurance of self-driving autonomous vehicles: A systematic literature review,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Coverage based testing for v&v and safety assurance of self-driving autonomous vehicles: A systematic literature review,

Reference 1

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Observation 146aafea-6ad4-40d2-a194-0858e7bd2629 · outbound

This paper cites DeepTest: automated testing of deep-neural-network-driven autonomous cars,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems DeepTest: automated testing of deep-neural-network-driven autonomous cars,

Reference 2

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Observation 1aaf94c7-fcee-4660-80da-7f816f245b25 · outbound

This paper cites End to End Learning for Self-Driving Cars.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems End to End Learning for Self-Driving Cars

Reference 3

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Observation 52fe5da7-9d6c-4b6d-b9d7-9b9f4f335152 · outbound

This paper cites Safety in wearable robotic exoskeletons: Design, control, and testing guidelines,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Safety in wearable robotic exoskeletons: Design, control, and testing guidelines,

Reference 5

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Observation a55fb68e-a47f-4336-83d1-e4701a2028fa · outbound

This paper cites Hands off the wheel in autonomous vehicles?: A systems perspective on over a million miles of field data,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Hands off the wheel in autonomous vehicles?: A systems perspective on over a million miles of field data,

Reference 6

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Observation e6747ff5-0a82-4286-a078-5c06f708e32f · outbound

This paper cites [Online].

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems [Online]

Reference 7

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Observation 554874dd-3597-4056-82bc-616905b4fbbc · outbound

This paper cites (2022) 24 self-driving car statistics & facts.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems (2022) 24 self-driving car statistics & facts

Reference 8

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Observation 9a033c9a-9853-41f2-886d-6393a24b5197 · outbound

This paper cites A comprehensive study of autonomous vehicle bugs,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A comprehensive study of autonomous vehicle bugs,

Reference 9

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Observation 7204228f-ecf8-4148-a69c-69de9f75c2a4 · outbound

This paper cites an unresolved cited work.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-11T22:06:44.145718Z digest=sha256:4156fb811a89461dcd39129c1849f504ae528b7a235ce1d455b0e95c7d4e7222

Observation 8b2e0e5c-6012-4596-b141-1e969516b84f · outbound

This paper cites A survey on automated driving system testing: Landscapes and trends,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A survey on automated driving system testing: Landscapes and trends,

Reference 11

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Observation 766fb3bc-8323-4f51-bdcc-5651386bda1f · outbound

This paper cites Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems

Reference 12

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Observation 13e3fcf6-097b-4a22-ae36-76c0e8e70112 · outbound

This paper cites Rapidly-exploring random trees for testing automated vehicles,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Rapidly-exploring random trees for testing automated vehicles,

Reference 14

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Observation 01583d57-a633-445a-b595-550b1763da40 · outbound

This paper cites Traffic conflict analysis using vehicle tracking system/digital vcr and proposal of a new conflict indicator,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Traffic conflict analysis using vehicle tracking system/digital vcr and proposal of a new conflict indicator,

Reference 15

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Observation 51a66e45-5e3f-43dc-a208-3d2da959328d · outbound

This paper cites A flexible method for criticality assessment in driver assistance systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A flexible method for criticality assessment in driver assistance systems,

Reference 16

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Observation cb0b1dd6-4377-4a6f-b00a-c273af83e1a7 · outbound

This paper cites A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction

Reference 17

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Observation 09955d31-47df-498c-a2a8-06874c093b97 · outbound

This paper cites Challenges in autonomous vehicle testing and validation,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Challenges in autonomous vehicle testing and validation,

Reference 18

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Observation 3ee472d5-490f-4524-a08c-4f2289a72f9e · outbound

This paper cites Efficient online testing for dnn-enabled systems using surrogate-assisted and many-objective optimization,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Efficient online testing for dnn-enabled systems using surrogate-assisted and many-objective optimization,

Reference 19

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Observation d76737b8-1d41-443b-95b8-08f7c2b57bb0 · outbound

This paper cites Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Neural network guided evolutionary fuzzing for finding traffic violations of autonomous vehicles,

Reference 20

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Observation 0664fbbd-d4e7-4c36-9423-647f4a6f3a51 · outbound

This paper cites software verification and validation of safe autonomous cars: A systematic literature review,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems software verification and validation of safe autonomous cars: A systematic literature review,

Reference 21

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Observation 690bb43e-2175-4bc8-a834-9459bd774c00 · outbound

This paper cites Survey on scenario-based safety assessment of automated vehicles,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Survey on scenario-based safety assessment of automated vehicles,

Reference 22

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Observation 0a9e86b4-6bb4-44cc-8057-512b24cc814b · outbound

This paper cites A cooperative coevolutionary approach to function optimization,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A cooperative coevolutionary approach to function optimization,

Reference 23

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Observation 389f2c3f-64ae-4479-a40f-9a88981e9b1c · outbound

This paper cites ISO 21448:2022, road vehicles–safety of the intended functionality.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems ISO 21448:2022, road vehicles–safety of the intended functionality

Reference 24

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Observation 88b4b58d-d28e-4257-97ad-7cc734ee7cb7 · outbound

This paper cites for Standardization of Automation and M.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems for Standardization of Automation and M

Reference 25

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Observation 2bcb755b-3cbc-4fd1-a178-5464b939809c · outbound

This paper cites Testing advanced driver assistance systems using multi-objective search and neural networks,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Testing advanced driver assistance systems using multi-objective search and neural networks,

Reference 26

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Observation bd94277f-0e28-4137-8b52-40b77c51090c · outbound

This paper cites Compositional falsification of cyber-physical systems with machine learning components,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Compositional falsification of cyber-physical systems with machine learning components,

Reference 28

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Observation ff6f1c70-f86b-4b26-b92a-2d1c61e22f35 · outbound

This paper cites A V-FUZZER: Finding safety violations in autonomous driving systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A V-FUZZER: Finding safety violations in autonomous driving systems,

Reference 29

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Observation c8bac95e-f63f-4afa-bc27-436d5c267ebe · outbound

This paper cites an unresolved cited work.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Unresolved cited work

Reference 30

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Observation 21c6bb36-b4ca-4b06-a3b3-f263f194cb03 · outbound

This paper cites Fitness function templates for testing automated and autonomous driving systems in intersection scenarios,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Fitness function templates for testing automated and autonomous driving systems in intersection scenarios,

Reference 31

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Observation e19a81eb-a63e-4dca-9724-93f80fcd6887 · outbound

This paper cites Fitness functions for testing automated and autonomous driving systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Fitness functions for testing automated and autonomous driving systems,

Reference 32

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Observation 9d921733-9fe0-4698-bdd6-94c89aeec512 · outbound

This paper cites Targeting requirements violations of autonomous driving systems by dynamic evolutionary search,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Targeting requirements violations of autonomous driving systems by dynamic evolutionary search,

Reference 33

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Observation edda0c6f-f82c-4a2d-aff9-81b78006315e · outbound

This paper cites Cost-effective simulation-based test selection in self-driving cars software,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Cost-effective simulation-based test selection in self-driving cars software,

Reference 34

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Observation 5adf6332-bd79-4856-a5b1-483681b4bc67 · outbound

This paper cites Single and multi-objective test cases prioritization for self-driving cars in virtual environments,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Single and multi-objective test cases prioritization for self-driving cars in virtual environments,

Reference 35

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Observation e3a36aeb-4826-462e-9183-6cb939f5122f · outbound

This paper cites Model-based exploration of the frontier of behaviours for deep learning system testing,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Model-based exploration of the frontier of behaviours for deep learning system testing,

Reference 36

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Observation 5d537b23-6f0d-47c1-a595-503f8f4e1556 · outbound

This paper cites Available: http://dx.doi.org/10.1145/3533818.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Available: http://dx.doi.org/10.1145/3533818

Reference 37

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Observation 79b77cc4-d192-4e4b-ac7c-6255c0288d32 · outbound

This paper cites Efficient and effective feature space exploration for testing deep learning systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Efficient and effective feature space exploration for testing deep learning systems,

Reference 38

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Observation a32ec621-b488-4a06-a944-c10fecff26b9 · outbound

This paper cites DeepHyperion: Exploring the feature space of deep learning-based systems through illumination search,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems DeepHyperion: Exploring the feature space of deep learning-based systems through illumination search,

Reference 39

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Observation c3f18679-ee01-46f6-8f91-f24de2e0fe8b · outbound

This paper cites Analysis of road representations in search-based testing of autonomous driving systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Analysis of road representations in search-based testing of autonomous driving systems,

Reference 40

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Observation e06fad76-9956-4eae-b9e0-d0489479b672 · outbound

This paper cites Illuminating search spaces by mapping elites.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Illuminating search spaces by mapping elites

Reference 41

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Observation fd6a8ad6-b553-464d-bda5-0306d77f959d · outbound

This paper cites Eagle strategy with local search for scenario based validation of autonomous vehicles,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Eagle strategy with local search for scenario based validation of autonomous vehicles,

Reference 42

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Observation 223b1f12-ea1e-4621-85f6-a8d615a96d97 · outbound

This paper cites Automatically testing self-driving cars with search-based procedural content generation,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Automatically testing self-driving cars with search-based procedural content generation,

Reference 43

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Observation 42128e06-619b-4e35-a1a5-e41af3c0f9bc · outbound

This paper cites Scenario optimisation and sensitivity analysis for safe automated driving using gaussian processes,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Scenario optimisation and sensitivity analysis for safe automated driving using gaussian processes,

Reference 44

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Observation c2158210-5cc8-45a8-8d32-3df64a201337 · outbound

This paper cites Rapid generation of challenging simulation scenarios for autonomous vehicles based on adversarial test,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Rapid generation of challenging simulation scenarios for autonomous vehicles based on adversarial test,

Reference 45

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Observation 6c7938c7-d344-4698-a7e0-3a1bd1afc39d · outbound

This paper cites Testing of autonomous vehicles using surrogate models and stochastic optimization,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Testing of autonomous vehicles using surrogate models and stochastic optimization,

Reference 47

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Observation a0ecf89a-088a-426d-b066-e64444426bb2 · outbound

This paper cites Metamorphic Testing: A New Approach for Generating Next Test Cases.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Metamorphic Testing: A New Approach for Generating Next Test Cases

Reference 48

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Observation 312451c8-b818-48cd-ab9f-89ea08864c6a · outbound

This paper cites Metamorphic testing: A review of challenges and opportunities,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Metamorphic testing: A review of challenges and opportunities,

Reference 49

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Observation c1221a9a-3e3f-4a38-931c-fd03f7d65196 · outbound

This paper cites MetaSem: metamorphic testing based on semantic information of autonomous driving scenes,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems MetaSem: metamorphic testing based on semantic information of autonomous driving scenes,

Reference 50

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source=pdf_text observed=2026-08-11T22:06:44.363557Z digest=sha256:cdc971fcf05dfb2d4d4ecbcbaf1df2d8b44c2937762e6c243ab857bacbca7125

Observation af4b7323-30fd-4a56-ae57-e79f6765fba7 · outbound

This paper cites Metamorphic testing of driverless cars,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Metamorphic testing of driverless cars,

Reference 51

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Observation 7ad197e9-7848-4853-a290-2d9f3f4f445c · outbound

This paper cites MetaLiDAR: Automated metamorphic testing of lidar-based autonomous driving systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems MetaLiDAR: Automated metamorphic testing of lidar-based autonomous driving systems,

Reference 52

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source=pdf_text observed=2026-08-11T22:06:44.358407Z digest=sha256:afcc99fad4e1035781295a9290a04ae82991d552a4a992e3ab0e171876b98833

Observation 3a629ffe-1d33-4a2e-9b3e-b6bb0576ebf2 · outbound

This paper cites Metamorphic testing for autonomous driving systems in fog based on quantitative measurement,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Metamorphic testing for autonomous driving systems in fog based on quantitative measurement,

Reference 53

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source=pdf_text observed=2026-08-11T22:06:44.377780Z digest=sha256:69a5f320a381d5befc83da4224f88d3169923804e8ce898a6785d6113548deb0

Observation 9fbdc909-7b55-418a-ba08-205833c46756 · outbound

This paper cites Metamorphic fuzz testing of autonomous vehicles,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Metamorphic fuzz testing of autonomous vehicles,

Reference 54

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source=pdf_text observed=2026-08-11T22:06:44.382656Z digest=sha256:65cadf0fd25704c7905d5c95d0a4fb3cbb9542205a759c353f7ef8d1fa65ed78

Observation 0d7dbbe3-bb93-4646-90ca-0e6f44c42c70 · outbound

This paper cites DeepRoad: Gan-based metamorphic testing and input validation framework for autonomous driving systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems DeepRoad: Gan-based metamorphic testing and input validation framework for autonomous driving systems,

Reference 55

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source=pdf_text observed=2026-08-11T22:06:44.373272Z digest=sha256:212f897a535173e3d5907e56086749d0e7a1b9c38cc55c8bbb950d283fd60311

Observation 36b66d2f-a81a-457f-b02e-0a9f04d88547 · outbound

This paper cites Adaptive stress testing for autonomous vehicles,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Adaptive stress testing for autonomous vehicles,

Reference 56

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source=pdf_text observed=2026-08-11T22:06:44.393081Z digest=sha256:ed9e24c5e3e0ea51eebe68012ff6bb342f52cd94672eeaa9c9e2ebef042f18c5

Observation 7323e4c9-b7bf-4a2d-8de3-4cdbe1276a54 · outbound

This paper cites Adaptive stress testing with reward augmentation for autonomous vehicle validation,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Adaptive stress testing with reward augmentation for autonomous vehicle validation,

Reference 57

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source=pdf_text observed=2026-08-11T22:06:44.397971Z digest=sha256:5c5d860709a27907b771ddb536b0961208c35c5b68b6b4c1837427968b750d8b

Observation 79cbd91d-a30b-419e-aca5-ece2e0a43923 · outbound

This paper cites Metamorphic Relation Generation: State of the Art and Visions for Future Research.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Metamorphic Relation Generation: State of the Art and Visions for Future Research

Reference 58

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source=pdf_text observed=2026-08-11T22:06:44.387749Z digest=sha256:7b2a2e3c7319b4490f8eaddcefdc22de679a7d508a3549c9d8cc5e0fd7dcae62

Observation e33bd909-0347-4e04-b1db-bb3e4978fcca · outbound

This paper cites Automatic generation of critical test cases for the development of highly automated driving functions,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Automatic generation of critical test cases for the development of highly automated driving functions,

Reference 59

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Observation 361f5f59-54ec-4256-bd2a-693ad2201ec2 · outbound

This paper cites Efficient statistical validation with edge cases to evaluate highly automated vehicles,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Efficient statistical validation with edge cases to evaluate highly automated vehicles,

Reference 60

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Observation ff6a45de-6071-41e6-b1f8-32db91ce8222 · outbound

This paper cites On a Formal Model of Safe and Scalable Self-driving Cars.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems On a Formal Model of Safe and Scalable Self-driving Cars

Reference 62

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Observation b3dbd38e-25b2-42ee-b039-34aa82abcc20 · outbound

This paper cites Archive-based cooperative coevolutionary algorithms,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Archive-based cooperative coevolutionary algorithms,

Reference 63

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Observation 7624b62f-fc38-480c-8fc7-517a38371dd9 · outbound

This paper cites A declarative metamorphic testing framework for autonomous driving,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A declarative metamorphic testing framework for autonomous driving,

Reference 64

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source=pdf_text observed=2026-08-11T22:06:44.444568Z digest=sha256:2dc1378f2b375a9be9287975c9262487c5b423c0e16c981a3d3a9c12522a1e5b

Observation eece9e8e-e903-4393-850f-5d9d20404487 · outbound

This paper cites A survey on cooperative co-evolutionary algorithms,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A survey on cooperative co-evolutionary algorithms,

Reference 65

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Observation 22227993-dfea-42eb-8ad9-82cd8dd83f47 · outbound

This paper cites Large scale evolutionary optimization using cooperative coevolution,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Large scale evolutionary optimization using cooperative coevolution,

Reference 66

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source=pdf_text observed=2026-08-11T22:06:44.429081Z digest=sha256:6e5996efc7c776b9c040efb1c2f343bbe49d03a1ba2f67d6fe2e1cb12161e889

Observation 8de9a116-fdbb-43f3-a813-4e63be18336a · outbound

This paper cites CARLA: An open urban driving simulator,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems CARLA: An open urban driving simulator,

Reference 67

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source=pdf_text observed=2026-08-11T22:06:44.459645Z digest=sha256:97c0ae09edf1ac083bbddb7c0393b0a5e268878ac8c463fb7fd4e292389fbeb8

Observation ad83efd1-cdbc-4454-9db0-64351a7fe5d3 · outbound

This paper cites Scenario-based test reduction and prioritization for multi-module autonomous driving systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Scenario-based test reduction and prioritization for multi-module autonomous driving systems,

Reference 68

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source=pdf_text observed=2026-08-11T22:06:44.464827Z digest=sha256:52557dc9da4cb49ad0d3023650a09cf5a5b31c9e398ea4b6872fea92937517c2

Observation 37961f4e-241d-4460-a173-b8f6244f621d · outbound

This paper cites Using dynamic time warping to find patterns in time series,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Using dynamic time warping to find patterns in time series,

Reference 69

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source=pdf_text observed=2026-08-11T22:06:44.469652Z digest=sha256:a85b316dd68f49e7029a9ebddd3e19840a502fd7699c28e624af9a991353d012

Observation c2225e8e-84cb-4529-b271-2efc76fa3e2a · outbound

This paper cites Can offline testing of deep neural networks replace their online testing?: A case study of automated driving systems,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Can offline testing of deep neural networks replace their online testing?: A case study of automated driving systems,

Reference 70

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source=pdf_text observed=2026-08-11T22:06:44.449695Z digest=sha256:8921b735ed6a3a308faed99d6f76fece2d076202edff32fdf7d3b8068c5c80a5

Observation bd692189-6e5a-438c-99df-14d4f63a3a3e · outbound

This paper cites Identifying the hazard boundary of ml-enabled autonomous systems using cooperative coevolutionary search,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Identifying the hazard boundary of ml-enabled autonomous systems using cooperative coevolutionary search,

Reference 71

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source=pdf_text observed=2026-08-11T22:06:44.454747Z digest=sha256:692271cf2a889c804a0c65c21459873e4af1eb27c13b00463875d23193bb822a

Observation 89508324-a86c-4a19-988c-824b3675a79b · outbound

This paper cites Berlin, Heidelberg: Springer Berlin Heidelberg, 1998, pp.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Berlin, Heidelberg: Springer Berlin Heidelberg, 1998, pp

Reference 72

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source=pdf_text observed=2026-08-11T22:06:44.484942Z digest=sha256:c1378e2aa6818f70b18101e3366457477a61ac583c90bab84a03a5528d1d9d3d

Observation 811ef48c-359d-4718-b9d8-27e8981faaaf · outbound

This paper cites An empirical analysis of collaboration methods in cooperative coevolutionary algorithms,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems An empirical analysis of collaboration methods in cooperative coevolutionary algorithms,

Reference 73

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source=pdf_text observed=2026-08-11T22:06:44.489968Z digest=sha256:34fd1b6e7afc44c781609068cac4fd6c7011f166bd96150c4d867713ab83c01d

Observation bdfa6200-4983-48f0-8166-3dc169024844 · outbound

This paper cites On the role of population size and niche radius in fitness sharing,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems On the role of population size and niche radius in fitness sharing,

Reference 74

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source=pdf_text observed=2026-08-11T22:06:44.494675Z digest=sha256:65eea013660da6691cade7b3c63a79368a2ad579fa1150b68d8977a42a9e72bc

Observation c42bd8b7-3c6c-498f-83ca-268ab0e4e604 · outbound

This paper cites Dynamic programming algorithm optimization for spoken word recognition,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Dynamic programming algorithm optimization for spoken word recognition,

Reference 75

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source=pdf_text observed=2026-08-11T22:06:44.474620Z digest=sha256:d339f1c0747218f8ed6b885ec2c1b66be3f3e06605b02e1e4c044f9c51edee2b

Observation 796c5f98-ae00-4dda-998f-1c7cc4cb9ec5 · outbound

This paper cites Evolutionary computation in multi-agent environments: Partners,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Evolutionary computation in multi-agent environments: Partners,

Reference 76

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source=pdf_text observed=2026-08-11T22:06:44.479791Z digest=sha256:eb1dc8a23fd83e232c9469616d3eb0084e5a27ea2c04b9678bf4173d17c11b6d

Observation 1eb960a2-143e-45fd-afa8-f917e3921dd7 · outbound

This paper cites Fitness sharing and niching methods revisited,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Fitness sharing and niching methods revisited,

Reference 77

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T22:06:44.510507Z digest=sha256:23f3c2e3a0ffc619deb1d73b754e831613257c5d38ca4738824e9c31d8e6f1ff

Observation e324aea2-338d-4df3-9acc-05b41534491b · outbound

This paper cites Selforganization of matter and the evolution of biological macromolecules,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Selforganization of matter and the evolution of biological macromolecules,

Reference 78

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Observation 275bd3cd-c278-450f-a123-12c9a6f4bb8e · outbound

This paper cites Horn and D.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Horn and D

Reference 79

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source=pdf_text observed=2026-08-11T22:06:44.520730Z digest=sha256:f24b7ca1cf91180db5f18ea1349d6a3a9ea0a7365a2576b5c6c3d0372689e812

Observation 35f01d8e-221b-4728-9255-d10e7b47c956 · outbound

This paper cites Genetic algorithms with sharing for multimodal function optimization,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Genetic algorithms with sharing for multimodal function optimization,

Reference 80

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source=pdf_text observed=2026-08-11T22:06:44.499677Z digest=sha256:401f119340dae7da9f90d4eac823abdb3e59c1ab30733a50a07e732948410047

Observation 97bedc4b-5ee7-4d42-92b0-9ee366d8ca43 · outbound

This paper cites A clearing procedure as a niching method for genetic algorithms,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A clearing procedure as a niching method for genetic algorithms,

Reference 81

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T22:06:44.505167Z digest=sha256:8578e04c1466d2a29176c45e0c2a70089085fd62c3f3ac079c331f6311a9a545

Observation 26e9a2b7-accb-4ae5-97d5-14ec648b251e · outbound

This paper cites Improved heterogeneous distance functions,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Improved heterogeneous distance functions,

Reference 82

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source=pdf_text observed=2026-08-11T22:06:44.535559Z digest=sha256:aaa958eb75dd3a838a87ccfa274415a1872ed38e0eaad9b4f1413aef79c54d5f

Observation 1eb01750-a7f2-463c-a9d2-07944104f383 · outbound

This paper cites A comprehensive survey of evolutionary-based multiobjective optimization techniques,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems A comprehensive survey of evolutionary-based multiobjective optimization techniques,

Reference 83

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verified exact
doi, observed 2026-08-11T22:06:44.846038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T22:06:44.540574Z digest=sha256:015e6dae133f3f143c426e6b0226128a1e8f34e80e5c399cc0cba7e8630a9866

Observation 1685371c-1867-42b9-bc0a-4a3902f51704 · outbound

This paper cites An evolutionary algorithm with advanced goal and priority specification for multi-objective optimization,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems An evolutionary algorithm with advanced goal and priority specification for multi-objective optimization,

Reference 84

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T22:06:44.545776Z digest=sha256:5f55b269522353757f88f941301c5e70a4f29d57df566300bc6b06abfb84c49f

Observation 98893302-1203-4055-b692-4de08fc9e3e6 · outbound

This paper cites Population size and genetic drift in fitness sharing,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Population size and genetic drift in fitness sharing,

Reference 85

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T22:06:44.525702Z digest=sha256:9c6fc23ae28c58205217fa64afec6d8d9f914f50d5fd38f23af380494fad277c

Observation 4439be7c-930d-4648-8f65-3577eaa70c7d · outbound

This paper cites Analysis of the clearing diversity- preserving mechanism,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Analysis of the clearing diversity- preserving mechanism,

Reference 86

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raw_fallback, observed 2026-08-11T22:06:46.056523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T22:06:44.530717Z digest=sha256:f471faa056637bf4be715e136a0f7590261771943e5de0003e628349b42ede11

Observation 61555110-7f4c-4171-b63e-ba4e0a51e71d · outbound

This paper cites Fault tolerant design using single and multicriteria genetic algorithm optimization,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Fault tolerant design using single and multicriteria genetic algorithm optimization,

Reference 87

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source=pdf_text observed=2026-08-11T22:06:44.560532Z digest=sha256:31448978a7e5ff6f4f8e80d8ddc2ca4ce1b86ba93ed70250abb6d8b1e6051faf

Observation 5143ab46-5cf5-45c1-a31b-9df5c5b2ca6c · outbound

This paper cites On measuring multiobjective evolutionary algorithm performance,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems On measuring multiobjective evolutionary algorithm performance,

Reference 88

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T22:06:44.565577Z digest=sha256:a6e2702eb9e216c6ae651f4e0af0b4869ceff4c421fd254b42e48b0927ae74c8

Observation ac656f45-3190-4cc7-b2a3-236ca68d8681 · outbound

This paper cites Comparison of multiobjective evolutionary algorithms: Empirical results,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Comparison of multiobjective evolutionary algorithms: Empirical results,

Reference 89

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source=pdf_text observed=2026-08-11T22:06:44.570561Z digest=sha256:6b9198de953e06719da52cefba7f000035638d4392c1f43eca031ce5f4cca25c

Observation f43340e5-3c15-49cf-b216-085a5a46f1a4 · outbound

This paper cites Luke, Essentials of Metaheuristics , 2nd ed.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Luke, Essentials of Metaheuristics , 2nd ed

Reference 90

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source=pdf_text observed=2026-08-11T22:06:44.550623Z digest=sha256:21fc4c812c3c550a4a7f3481a98ef65cf51dc853d91f3482c0dbf0ad83bfbb16

Observation 8a27958e-7e6f-4ba5-bf3d-b4689da81095 · outbound

This paper cites Quality evaluation of solution sets in multiobjective optimisation: A survey,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Quality evaluation of solution sets in multiobjective optimisation: A survey,

Reference 91

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source=pdf_text observed=2026-08-11T22:06:44.555469Z digest=sha256:ea189ef23df724a908e30d7cae622af88ec0fa461afb9243fce95fba97d42a1f

Observation 4db37fcd-ee7e-402f-9102-8181b7e01c4e · outbound

This paper cites Performance metric ensemble for multiobjective evolutionary algorithms,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Performance metric ensemble for multiobjective evolutionary algorithms,

Reference 92

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T22:06:44.586308Z digest=sha256:21c58edfeb3031968191b3510d5548b45461bb6a41a0cfe2f1e61b5faf6500d8

Observation 7db1b7f9-8538-4bad-a69b-efe7ed77eb53 · outbound

This paper cites Simulated binary crossover for continuous search space,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Simulated binary crossover for continuous search space,

Reference 94

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source=pdf_text observed=2026-08-11T22:06:44.596903Z digest=sha256:9ca655d182ca664ce1468a4100edef809e9230088c5a056aba0a83e8a176c4ac

Observation 2a5e5724-df30-4f21-8499-abeeb11cdd4a · outbound

This paper cites Diversity assessment in many- objective optimization,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Diversity assessment in many- objective optimization,

Reference 95

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source=pdf_text observed=2026-08-11T22:06:44.575682Z digest=sha256:9e9214320fd4f1032437a20e00db2f5da3df0055b31f2aab44f349959fd7d6e4

Observation 7e9d841e-d1c6-491a-a74f-4464152008e3 · outbound

This paper cites Diversity assessment of multi-objective evolutionary algorithms: Performance metric and benchmark problems [research frontier],.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Diversity assessment of multi-objective evolutionary algorithms: Performance metric and benchmark problems [research frontier],

Reference 96

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source=pdf_text observed=2026-08-11T22:06:44.580952Z digest=sha256:7cdfdafdfd065dda1ef778fe2cdb0d88d964a09c8f120ac062db33c01ceb04d6

Observation c5187b32-647c-4715-99f2-1b367d1860f3 · outbound

This paper cites EvoSuite: On the challenges of test case generation in the real world,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems EvoSuite: On the challenges of test case generation in the real world,

Reference 97

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source=pdf_text observed=2026-08-11T22:06:44.612719Z digest=sha256:ba4a8583f9ddb0d438e7bf18557be852ad9688f78ab6cb85d5365a5983a11c00

Observation cc1ec262-9d2c-4edd-b270-58889bcee70e · outbound

This paper cites Automated test case generation as a many-objective optimisation problem with dynamic selection of the targets,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Automated test case generation as a many-objective optimisation problem with dynamic selection of the targets,

Reference 98

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source=pdf_text observed=2026-08-11T22:06:44.617524Z digest=sha256:cd5f02c5e0941755aa6381baa69ea98dbdc82ff579de814184ca54c124c9ef80

Observation f2255597-9725-421f-bc02-2e506748eec2 · outbound

This paper cites an unresolved cited work.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-11T22:06:44.622477Z digest=sha256:60ed50a784937fb1eb9e68c887be6457d44fb95f7734ec616ec831e16c206827

Observation 14383960-a187-48c5-a6e9-3262fa9461b5 · outbound

This paper cites EvoSuite: automatic test suite generation for object-oriented software,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems EvoSuite: automatic test suite generation for object-oriented software,

Reference 100

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source=pdf_text observed=2026-08-11T22:06:44.601870Z digest=sha256:b47d15d56d04674cbe4ae4aa4f7c0b8287761dbcb647eaabda4f0d4d5e955832

Observation 2a051f15-9ed9-4467-ba30-89a4a5b50dd1 · outbound

This paper cites Reformulating branch coverage as a many-objective optimization problem,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Reformulating branch coverage as a many-objective optimization problem,

Reference 101

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source=pdf_text observed=2026-08-11T22:06:44.606862Z digest=sha256:1ded8789953937c5ece48def9421abfd7e96929dc105249ca0e04974b801a1ac

Observation 7ebf70b1-5433-408d-9d84-c35179aba4b0 · outbound

This paper cites CARLA autonomous driving leaderboard.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems CARLA autonomous driving leaderboard

Reference 102

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source=pdf_text observed=2026-08-11T22:06:44.637314Z digest=sha256:ff06fb00f2b047635293f5dca21ec4f0ccce00c0b805c0f27672c28e55a36050

Observation 33072a44-15e5-40fd-a459-4c4d62615d20 · outbound

This paper cites BMT: Behavior driven development- based metamorphic testing for autonomous driving models,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems BMT: Behavior driven development- based metamorphic testing for autonomous driving models,

Reference 103

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source=pdf_text observed=2026-08-11T22:06:44.642200Z digest=sha256:583f88da024a8f85c415881bb5081ece6dd6e47d502c23f5a1557f4485a768a8

Observation 152b0a9d-fc38-411b-82dd-86ae17a55aa7 · outbound

This paper cites Metamorphic relations for testing automated and autonomous driving systems and simulation platforms,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Metamorphic relations for testing automated and autonomous driving systems and simulation platforms,

Reference 104

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source=pdf_text observed=2026-08-11T22:06:44.647003Z digest=sha256:231f1be97a6aa4992ccc8b1ab8c4c4af3614decfae3a54a288ab5041de18a912

Observation af701b38-8c27-4cc6-b939-5922a81a5659 · outbound

This paper cites CARLA: An open urban driving simulator,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems CARLA: An open urban driving simulator,

Reference 105

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:06:44.627693Z digest=sha256:324b9bbaa07d02fdcaeaff058ec6456cf81c64a3db9e9cbe5bc19f8c13c5a709

Observation db38d5e2-caf9-4217-a050-a8a16bc3981d · outbound

This paper cites Safety-enhanced autonomous driving using interpretable sensor fusion transformer,.

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems Safety-enhanced autonomous driving using interpretable sensor fusion transformer,

Reference 106

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source=pdf_text observed=2026-08-11T22:06:44.632405Z digest=sha256:0efa37ab0601c2826281bf1e119ffd2a9086e8163a2ef6b9760c45a2e5d38923

Pith citing papers

No inbound Pith citation observations are available.