Suchergebnisse - "and Enhancement/D.2.7.5: Restructuring"
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1
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering ; https://hal.science/hal-03447628 ; SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering, Mar 2021, Honolulu / Virtual, United States. pp.131-141, ⟨10.1109/SANER50967.2021.00021⟩ ; https://saner2021.shidler.hawaii.edu
Schlagwörter: binary code analysis, graph neural networks, toolchain provenance, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Honolulu / Virtual, United States
Relation: info:eu-repo/grantAgreement//830927/EU/Cyber security cOmpeteNCe fOr Research anD InnovAtion/CONCORDIA
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2
Autoren: et al.
Weitere Verfasser: et al.
Quelle: MLPA 2020 - Machine Learning for Program Analysis ; https://hal.science/hal-03270335 ; MLPA 2020 - Machine Learning for Program Analysis, Jan 2021, Yokohama / Virtual, Japan ; https://sites.google.com/view/mlpa2020
Schlagwörter: toolchain provenance, machine learning, reverse engineering, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Yokohama / Virtual, Japan
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3
Autoren: et al.
Weitere Verfasser: et al.
Quelle: MLPA 2020 - Machine Learning for Program Analysis ; https://hal.science/hal-03270335 ; MLPA 2020 - Machine Learning for Program Analysis, Jan 2021, Yokohama / Virtual, Japan ; https://sites.google.com/view/mlpa2020
Schlagwörter: toolchain provenance, machine learning, reverse engineering, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Yokohama / Virtual, Japan
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4
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering ; https://hal.science/hal-03447628 ; SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering, Mar 2021, Honolulu / Virtual, United States. pp.131-141, ⟨10.1109/SANER50967.2021.00021⟩ ; https://saner2021.shidler.hawaii.edu
Schlagwörter: toolchain provenance, graph neural networks, binary code analysis, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Honolulu / Virtual, United States
Relation: info:eu-repo/grantAgreement//830927/EU/Cyber security cOmpeteNce fOr Research anD Innovation/CONCORDIA
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5
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering ; https://hal.science/hal-03447628 ; SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering, Mar 2021, Honolulu / Virtual, United States. pp.131-141, ⟨10.1109/SANER50967.2021.00021⟩ ; https://saner2021.shidler.hawaii.edu
Schlagwörter: binary code analysis, graph neural networks, toolchain provenance, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Honolulu / Virtual, United States
Relation: info:eu-repo/grantAgreement//830927/EU/Cyber security cOmpeteNCe fOr Research anD InnovAtion/CONCORDIA
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6
Autoren: et al.
Weitere Verfasser: et al.
Quelle: MLPA 2020 - Machine Learning for Program Analysis ; https://hal.science/hal-03270335 ; MLPA 2020 - Machine Learning for Program Analysis, Jan 2021, Yokohama / Virtual, Japan ; https://sites.google.com/view/mlpa2020
Schlagwörter: toolchain provenance, machine learning, reverse engineering, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Yokohama / Virtual, Japan
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7
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering ; https://hal.archives-ouvertes.fr/hal-03447628 ; SANER 2021 - 28th IEEE International Conference on Software Analysis, Evolution and Reengineering, Mar 2021, Honolulu / Virtual, United States. pp.131-141, ⟨10.1109/SANER50967.2021.00021⟩ ; https://saner2021.shidler.hawaii.edu
Schlagwörter: toolchain provenance, graph neural networks, binary code analysis, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Honolulu / Virtual, United States
Relation: info:eu-repo/grantAgreement//830927/EU/Cyber security cOmpeteNce fOr Research anD Innovation/CONCORDIA; hal-03447628; https://hal.archives-ouvertes.fr/hal-03447628; https://hal.archives-ouvertes.fr/hal-03447628/document; https://hal.archives-ouvertes.fr/hal-03447628/file/SANER_2021_CAMERA_READY_1.pdf
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8
Autoren: et al.
Weitere Verfasser: et al.
Quelle: MLPA 2020 - Machine Learning for Program Analysis ; https://hal.archives-ouvertes.fr/hal-03270335 ; MLPA 2020 - Machine Learning for Program Analysis, Jan 2021, Yokohama / Virtual, Japan ; https://sites.google.com/view/mlpa2020
Schlagwörter: reverse engineering, machine learning, toolchain provenance, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, and reengineering, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.5: Testing and Debugging/D.2.5.2: Diagnostics, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Geographisches Schlagwort: Yokohama / Virtual, Japan
Relation: hal-03270335; https://hal.archives-ouvertes.fr/hal-03270335; https://hal.archives-ouvertes.fr/hal-03270335/document; https://hal.archives-ouvertes.fr/hal-03270335/file/Workshop_MLBA_MLPA_2020.pdf
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9
Autoren: et al.
Weitere Verfasser: et al.
Quelle: the 21st International Systems and Software Product Line Conference - Volume B ; https://hal.science/hal-01699883 ; the 21st International Systems and Software Product Line Conference - Volume B, Sep 2017, Sevilla, France. ⟨10.1145/3109729.3109733⟩
Schlagwörter: ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.13: Reusable Software, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.13: Reusable Software/D.2.13.0: Domain engineering, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.10: Design/D.2.10.1: Representation, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
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10
Autoren: et al.
Weitere Verfasser: et al.
Quelle: the 21st International Systems and Software Product Line Conference - Volume B ; https://hal.archives-ouvertes.fr/hal-01699883 ; the 21st International Systems and Software Product Line Conference - Volume B, Sep 2017, Sevilla, France. ⟨10.1145/3109729.3109733⟩
Schlagwörter: ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.13: Reusable Software, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.13: Reusable Software/D.2.13.0: Domain engineering, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.10: Design/D.2.10.1: Representation, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Relation: hal-01699883; https://hal.archives-ouvertes.fr/hal-01699883; https://hal.archives-ouvertes.fr/hal-01699883/document; https://hal.archives-ouvertes.fr/hal-01699883/file/REVE17-HAL.pdf
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11
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SEKE 2012 - 24th International Conference on Software Engineering & Knowledge Engineering ; https://inria.hal.science/hal-00700046 ; SEKE 2012 - 24th International Conference on Software Engineering & Knowledge Engineering, Jul 2012, San Francisco Bay, United States. pp.118-124
Schlagwörter: Restructuring, Patterns, Program design, Formal Concept Analysis, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Geographisches Schlagwort: San Francisco Bay, United States
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12
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SEKE 2012: 24th International Conference on Software Engineering & Knowledge Engineering ; https://inria.hal.science/hal-00700046 ; SEKE 2012: 24th International Conference on Software Engineering & Knowledge Engineering, Jul 2012, San Francisco Bay, United States. pp.118-124
Schlagwörter: Restructuring, Formal Concept Analysis, Program design, Patterns, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Geographisches Schlagwort: San Francisco Bay, United States
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13
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SEKE 2012: 24th International Conference on Software Engineering & Knowledge Engineering ; https://inria.hal.science/hal-00700046 ; SEKE 2012: 24th International Conference on Software Engineering & Knowledge Engineering, Jul 2012, San Francisco Bay, United States. pp.118-124
Schlagwörter: Restructuring, Formal Concept Analysis, Program design, Patterns, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Geographisches Schlagwort: San Francisco Bay, United States
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14
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SEKE 2012: 24th International Conference on Software Engineering & Knowledge Engineering ; https://hal.inria.fr/hal-00700046 ; SEKE 2012: 24th International Conference on Software Engineering & Knowledge Engineering, Jul 2012, San Francisco Bay, United States. pp.118-124
Schlagwörter: Restructuring, Formal Concept Analysis, Program design, Patterns, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Geographisches Schlagwort: San Francisco Bay, United States
Relation: hal-00700046; https://hal.inria.fr/hal-00700046; https://hal.inria.fr/hal-00700046/document; https://hal.inria.fr/hal-00700046/file/SK12-Bhatti-Final.pdf
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15
Autoren: et al.
Weitere Verfasser: et al.
Quelle: https://inria.hal.science/hal-01086593 ; 2014, pp.22-23.
Schlagwörter: software evolution, software analysis, ACM: D.: Software/D.2: SOFTWARE ENGINEERING, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.8: Metrics, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.7: Distribution, Maintenance, and Enhancement/D.2.7.5: Restructuring, reverse engineering, and reengineering, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE], [INFO.INFO-PL]Computer Science [cs]/Programming Languages [cs.PL]
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