{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:ZYOFZKGR33LLPILVUZ52OJUUYR","short_pith_number":"pith:ZYOFZKGR","canonical_record":{"source":{"id":"1608.08933","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2016-08-31T16:39:41Z","cross_cats_sorted":[],"title_canon_sha256":"c7d699566f185295c3a921a9555ff15ff2a56c4806adb996cff7b28b2681089d","abstract_canon_sha256":"4d0a08605dcee0ceee44ab92ec10f3dc812080b4f007fd334bfae76c661cd8ad"},"schema_version":"1.0"},"canonical_sha256":"ce1c5ca8d1ded6b7a175a67ba72694c443c848f984bf5f10a364e5af15bfe046","source":{"kind":"arxiv","id":"1608.08933","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.08933","created_at":"2026-05-18T00:17:55Z"},{"alias_kind":"arxiv_version","alias_value":"1608.08933v2","created_at":"2026-05-18T00:17:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08933","created_at":"2026-05-18T00:17:55Z"},{"alias_kind":"pith_short_12","alias_value":"ZYOFZKGR33LL","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZYOFZKGR33LLPILV","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZYOFZKGR","created_at":"2026-05-18T12:30:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:ZYOFZKGR33LLPILVUZ52OJUUYR","target":"record","payload":{"canonical_record":{"source":{"id":"1608.08933","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2016-08-31T16:39:41Z","cross_cats_sorted":[],"title_canon_sha256":"c7d699566f185295c3a921a9555ff15ff2a56c4806adb996cff7b28b2681089d","abstract_canon_sha256":"4d0a08605dcee0ceee44ab92ec10f3dc812080b4f007fd334bfae76c661cd8ad"},"schema_version":"1.0"},"canonical_sha256":"ce1c5ca8d1ded6b7a175a67ba72694c443c848f984bf5f10a364e5af15bfe046","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:55.205444Z","signature_b64":"Yt7BYmlU5OSjfu6QrBVpIgmSRmOX5tz8l/zIsbEJ908rDt/usJDaeIh5SAAGsLUGL5O3JPGYhOYHrsZpRIi0BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce1c5ca8d1ded6b7a175a67ba72694c443c848f984bf5f10a364e5af15bfe046","last_reissued_at":"2026-05-18T00:17:55.204789Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:55.204789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.08933","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:17:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0UZkCBA49YhvYDl/1flphtQljPR8rFwGQF3BF7y1ss1DCAwuCV38yVL21V8jMp1w8hZkM/UDRjWvaJ26sjjVAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:35:52.518538Z"},"content_sha256":"ef504264a404f41ab343e1940001b8c9301714581bf0241cea6bed58fa63e9d1","schema_version":"1.0","event_id":"sha256:ef504264a404f41ab343e1940001b8c9301714581bf0241cea6bed58fa63e9d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:ZYOFZKGR33LLPILVUZ52OJUUYR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Ke Li, Rami Bahsoon, Tao Chen, Xin Yao","submitted_at":"2016-08-31T16:39:41Z","abstract_excerpt":"Self-adaptive software (SAS) can reconfigure itself to adapt to the changing environment at runtime, aiming for continually optimizing conflicted non-functional objectives, e.g., response time, energy consumption, throughput and cost etc. In this paper, we present Feature guided and knEe driven Multi-Objective optimization for Self-Adaptive softwAre (FEMOSAA), a novel framework that automatically synergizes the feature model and Multi-Objective Evolutionary Algorithm (MOEA), to optimize SAS at runtime. FEMOSAA operates in two phases: at design time, FEMOSAA automatically transposes the enginee"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08933","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:17:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BuGBeWPgCLvyYOL3HzF9KQj5JW6kDkN/EddooCH7yVMX9NpEH4zmCJM7N17p5itdRExumiNVavsdi9ZGs/w0DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:35:52.519100Z"},"content_sha256":"1ff08e24c40af251509499041d6567d17ffcbe28f6a59fae08346d26dc398194","schema_version":"1.0","event_id":"sha256:1ff08e24c40af251509499041d6567d17ffcbe28f6a59fae08346d26dc398194"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZYOFZKGR33LLPILVUZ52OJUUYR/bundle.json","state_url":"https://pith.science/pith/ZYOFZKGR33LLPILVUZ52OJUUYR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZYOFZKGR33LLPILVUZ52OJUUYR/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-27T21:35:52Z","links":{"resolver":"https://pith.science/pith/ZYOFZKGR33LLPILVUZ52OJUUYR","bundle":"https://pith.science/pith/ZYOFZKGR33LLPILVUZ52OJUUYR/bundle.json","state":"https://pith.science/pith/ZYOFZKGR33LLPILVUZ52OJUUYR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZYOFZKGR33LLPILVUZ52OJUUYR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:ZYOFZKGR33LLPILVUZ52OJUUYR","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4d0a08605dcee0ceee44ab92ec10f3dc812080b4f007fd334bfae76c661cd8ad","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2016-08-31T16:39:41Z","title_canon_sha256":"c7d699566f185295c3a921a9555ff15ff2a56c4806adb996cff7b28b2681089d"},"schema_version":"1.0","source":{"id":"1608.08933","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.08933","created_at":"2026-05-18T00:17:55Z"},{"alias_kind":"arxiv_version","alias_value":"1608.08933v2","created_at":"2026-05-18T00:17:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.08933","created_at":"2026-05-18T00:17:55Z"},{"alias_kind":"pith_short_12","alias_value":"ZYOFZKGR33LL","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZYOFZKGR33LLPILV","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZYOFZKGR","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:1ff08e24c40af251509499041d6567d17ffcbe28f6a59fae08346d26dc398194","target":"graph","created_at":"2026-05-18T00:17:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Self-adaptive software (SAS) can reconfigure itself to adapt to the changing environment at runtime, aiming for continually optimizing conflicted non-functional objectives, e.g., response time, energy consumption, throughput and cost etc. In this paper, we present Feature guided and knEe driven Multi-Objective optimization for Self-Adaptive softwAre (FEMOSAA), a novel framework that automatically synergizes the feature model and Multi-Objective Evolutionary Algorithm (MOEA), to optimize SAS at runtime. FEMOSAA operates in two phases: at design time, FEMOSAA automatically transposes the enginee","authors_text":"Ke Li, Rami Bahsoon, Tao Chen, Xin Yao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2016-08-31T16:39:41Z","title":"FEMOSAA: Feature Guided and Knee Driven Multi-Objective Optimization for Self-Adaptive Software"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.08933","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ef504264a404f41ab343e1940001b8c9301714581bf0241cea6bed58fa63e9d1","target":"record","created_at":"2026-05-18T00:17:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4d0a08605dcee0ceee44ab92ec10f3dc812080b4f007fd334bfae76c661cd8ad","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2016-08-31T16:39:41Z","title_canon_sha256":"c7d699566f185295c3a921a9555ff15ff2a56c4806adb996cff7b28b2681089d"},"schema_version":"1.0","source":{"id":"1608.08933","kind":"arxiv","version":2}},"canonical_sha256":"ce1c5ca8d1ded6b7a175a67ba72694c443c848f984bf5f10a364e5af15bfe046","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce1c5ca8d1ded6b7a175a67ba72694c443c848f984bf5f10a364e5af15bfe046","first_computed_at":"2026-05-18T00:17:55.204789Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:55.204789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yt7BYmlU5OSjfu6QrBVpIgmSRmOX5tz8l/zIsbEJ908rDt/usJDaeIh5SAAGsLUGL5O3JPGYhOYHrsZpRIi0BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:55.205444Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.08933","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef504264a404f41ab343e1940001b8c9301714581bf0241cea6bed58fa63e9d1","sha256:1ff08e24c40af251509499041d6567d17ffcbe28f6a59fae08346d26dc398194"],"state_sha256":"00b29c03c1e956ec0d43653a5687401dd8cd3a8359e497f7c16393b0c6021c44"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zQttxGubIKykgSeEbO51TJJ5hj+3rDxiLC/kiCm583IcgXx/8fLp2x552mh5QAs46UaSi8Huudz/cMLjobBECg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T21:35:52.521917Z","bundle_sha256":"36551f151228ca3c284edb1fcd6cc50257cbc06140cf4cda42626e9cbdbfa3fd"}}