Search Results - "Feather, Martin"

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  1. 1

    Assurance Guidance for Space Mission use of Data-Driven Machine Learning by Feather, Martin S., Guerrini, Steven, Slingerland, Philip C., Spolaor, Max

    Published in 2023 IEEE Aerospace Conference (04-03-2023)
    “…We report on our experience developing guidance for assurance personnel on how to assure data-driven Machine Learning (ML) systems to be used in the space…”
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    Conference Proceeding
  2. 2

    Space Applications of a Trusted AI Framework: Experiences and Lessons Learned by Mandrake, Lukas, Doran, Gary, Goel, Ashish, Ono, Hiro, Amini, Rashied, Feather, Martin S., Fesq, Lorraine, Slingerland, Philip, Perry, Lauren, Bycroft, Benjamen, Kaufman, James

    Published in 2022 IEEE Aerospace Conference (AERO) (05-03-2022)
    “…Artificial intelligence (AI), which encompasses machine learning (ML), has become a critical technology due to its well-established success in a wide array of…”
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    Conference Proceeding
  3. 3

    Adapting a Trusted AI Framework to Space Mission Autonomy by Slingerland, Philip, Perry, Lauren, Kaufman, James, Bycroft, Benjamen, Linstead, Erik, Mandrake, Lukas, Doran, Gary, Goel, Ashish, Feather, Martin S., Fesq, Lorraine, Ono, Hiro, Amini, Rashied

    Published in 2022 IEEE Aerospace Conference (AERO) (05-03-2022)
    “…As artificial intelligence (AI) is increasingly proposed for new and future capabilities in space missions, the question of how to trust AI-enabled space…”
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    Conference Proceeding
  4. 4

    Model based mission assurance: NASA's assurance future by Evans, John, Cornford, Steven, Feather, Martin S.

    “…Model Based Systems Engineering (MBSE) is seeing increased application in planning and design of NASA's missions. This suggests the question: what will be the…”
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    Conference Proceeding
  5. 5

    Assurance Equations: A Cost and Criticality Model for Optimizing Quality Assurance Surveillance by Cornford, Steven L., Wheeler, Alex, Feather, Martin S., Plante, Jeannette F.

    Published in 2022 IEEE Aerospace Conference (AERO) (05-03-2022)
    “…The cost of quality vs cost of failure correction has been a long-running topic of discussion within the Aerospace community. It leads directly to concepts of…”
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    Conference Proceeding
  6. 6

    Space Trusted Autonomy Readiness Levels by Hobbs, Kerianne L., Lyons, Joseph B., Feather, Martin S., Bycroft, Benjamen P, Phillips, Sean, Simon, Michelle, Harter, Mark, Costello, Kenneth, Gawdiak, Yuri, Paine, Stephen

    Published in 2023 IEEE Aerospace Conference (04-03-2023)
    “…Technology Readiness Levels are a mainstay for organizations that fund, develop, test, acquire, or use technologies. Technology Readiness Levels provide a…”
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    Conference Proceeding
  7. 7

    Software Assurance of Autonomous Spacecraft Control by Smith, Ben, Feather, Martin S., Huntsberger, Terry, Bocchino, Robert

    “…Summary & ConclusionsThe work described addresses assurance of a planning and execution software system being added to an in-orbit CubeSat to demonstrate…”
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    Conference Proceeding
  8. 8

    Towards Robust, Resilient Ocean World Science Sampling Systems by Touma, Thomas, Das, Ersin, Burdick, Joel W., Clark, Evan Bock, Mackey, Ryan, Feather, Martin S., Fesq, Lorraine M., Kolcio, Ksenia O., Prather, Maurice

    Published in 2023 IEEE Aerospace Conference (04-03-2023)
    “…NASA's search for life and habitable regions in our solar system could lead to future landed missions on Europa and Enceladus, whose ocean worlds may support…”
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    Conference Proceeding
  9. 9

    Case Studies in Verifying Spacecraft Autonomy by Prokop, Lorraine E., Dorney, Daniel J., Feather, Martin S., Johnson, Stephen B.

    Published in 2021 IEEE Aerospace Conference (50100) (06-03-2021)
    “…Spacecraft, operating with a time-to-effect faster than human command response, or with absent or delayed communication, have depended on autonomy. It is…”
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    Conference Proceeding
  10. 10

    An Assurance Case with a Model at its Core by Cornford, Steven L., Feather, Martin S., Shelton, Marta B., Evans, John W., DiVenti, Anthony J.

    “…We describe our pilot study development of an Assurance Case arguing the robustness of a spacecraft demonstration of optical communication. Our Assurance Case…”
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    Conference Proceeding
  11. 11

    Enabling Assurance in the MBSE Environment by Evans, John W., Cornford, Steven L., Kotsifakis, David, Crumbley, Tim, Feather, Martin S.

    “…Model Based Engineering (MBE) is emerging in the aerospace sector as an important contributor to improved development from concept to production. Indeed, Model…”
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    Conference Proceeding
  12. 12

    NASA Quality Assurance in an MBSE World by Cornford, Steven L., Kotsifakis, David, Beckman, Sean, Feather, Martin S., Evans, John W.

    “…Over the past decade or so, improvements and changes in descriptive models of systems have been occurring. This has mainly come about in the shift from a…”
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    Conference Proceeding
  13. 13

    Demonstrations of System-Level Autonomy for Spacecraft by Feather, Martin S., Kennedy, Brian, Mackey, Ryan, Troesch, Martina, Altenbuchner, Cornelia, Bocchino, Robert, Fesq, Lorraine, Hughes, Randall, Mirza, Faiz, Nikora, Allen, Beauchamp, Patricia, Doran, Patrick, Kolcio, Ksenia O., Litke, Matthew J., Prather, Maurice

    Published in 2021 IEEE Aerospace Conference (50100) (06-03-2021)
    “…System-level autonomy refers to autonomously meeting the crosscutting needs of a system through awareness and coordinated control spanning the system's breadth…”
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    Conference Proceeding
  14. 14

    Assurance for Autonomy - JPL's past research, lessons learned, and future directions by Feather, Martin S., Pinto, Alessandro

    “…Robotic space missions have long depended on automation, defined in the 2015 NASA Technology Roadmaps as "the automatically-controlled operation of an…”
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    Conference Proceeding
  15. 15

    A Broad, Quantitative Model for Making Early Requirements Decisions by Feather, M.S., Cornford, S.L., Hicks, K.A., Kiper, J.D., Menzies, T.

    Published in IEEE software (01-03-2008)
    “…Although detailed information is typically scarce during a project's early phases, developers frequently need to make key decisions about trade-offs among…”
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    Journal Article
  16. 16

    Assurance Guidance for Machine Learning in a Safety-Critical System by Feather, Martin S., Slingerland, Philip C., Guerrini, Steven, Spolaor, Max

    “…We are developing guidance for space domain assurance personnel on how to assure Artificial intelligence (AI) and Machine Learning (ML) systems. Key to such…”
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    Conference Proceeding
  17. 17

    Rapid application of lightweight formal methods for consistency analyses by Feather, M.S.

    Published in IEEE transactions on software engineering (01-11-1998)
    “…Lightweight formal methods promise to yield modest analysis results in an extremely rapid manner. To fulfil this promise, they must be able to work with…”
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    Journal Article
  18. 18

    Requirements and Specification Exemplars by Feather, Martin S, Fickas, Stephen, Finkelstein, Anthony, van Lamsweerde, Axel

    Published in Automated software engineering (01-10-1997)
    “…Specification exemplars are familiar to most software engineering researchers. For instance, many will have encountered the well known library and lift problem…”
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    Journal Article
  19. 19

    Automatic Generation of Test Oracles—From Pilot Studies to Application by Feather, Martin S, Smith, Ben

    Published in Automated software engineering (01-01-2001)
    “…We describe a progression from pilot studies to development and use of domain-specific verification and validation (V&V) automation. Our domain is the testing…”
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    Journal Article
  20. 20

    Towards a unified approach to the representation of, and reasoning with, probabilistic risk information about software and its system interface by Feather, M.S.

    “…Early risk assessment is key in planning the development of systems, including systems that involve software. Such risk assessment needs a combination of the…”
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    Conference Proceeding