Technology area: Computing & Software
8 pending office actions • 7 art units • 7 examiners • 0 of 8 (0%) have an AI response strategy ready • 3 patents granted in the last 365 days
BMC Software Inc. has 8 pending office actions in Computing & Software. The docket involves 7 distinct examiners and 7 distinct art units, indicating broad distribution across examination assignments. One examiner and one art unit each account for more than one matter, while the remaining assignments appear separately allocated. This structure makes centralized docket control important, but it also limits the extent to which one examiner strategy can govern the full portfolio.
NGUYEN, AMANDA DANG is the busiest examiner, with 2 pending actions. Those matters provide the clearest opportunity for examiner-specific coordination. The other actions should be managed with attention to their individual art-unit and examiner contexts, including claim terminology, amendment practice, and response timing.
Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 only | 2 (25%) |
| §101 + other | 3 (38%) |
| §103 only | 2 (25%) |
| Multi-statute (no §101) | 1 (12%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| NGUYEN, AMANDA DANG | 2 | — | — |
| SYED, FARHAN M | 1 | 75.1% | +23.2% |
| RIVERA VARGAS, MANUEL A | 1 | 81.0% | +12.1% |
| THOMPSON, ALMA BENNETT | 1 | — | — |
| MANOSKEY, JOSEPH D | 1 | 93.2% | -9.2% |
| RIGGINS, ARI FAITH COLEMA | 1 | 55.6% | +55.0% |
| NAULT, VICTOR ADELARD | 1 | 50.0% | +65.8% |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18622305 | ENHANCEMENT EVENT DETERMINATION AND USE IN SYSTEM MONITORING | RIVERA VARGAS, MANUEL A | — |
| 18511550 | PREDICTING CAUSAL IMPACT FROM SCENARIOS | THOMPSON, ALMA BENNETT | — |
| 18511543 | PREDICTING PRIORITY OF SITUATIONS | NGUYEN, AMANDA DANG | — |
| 18511530 | ADAPTIVE SCENARIOS GENERATION FROM SITUATIONS | NGUYEN, AMANDA DANG | — |
| 18194190 | EFFICIENT TRAINING OF MACHINE LEARNING MODELS FOR LOG RECORD ANALYSIS | MANOSKEY, JOSEPH D | — |
| 17810264 | BATCH WORKLOAD CONTROL BASED ON CAPACITY CONSUMPTION | RIGGINS, ARI FAITH COLEMA | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18743641 | LOG RECOVERY FOR INTER-TABLESPACE TABLE MIGRATION | SYED, FARHAN M | 19d overdue |
| 17657625 | CAUSAL EVENT PREDICTION FOR EVENTS | NAULT, VICTOR ADELARD | 26d |
| 18622305 | ENHANCEMENT EVENT DETERMINATION AND USE IN SYSTEM MONITORING | RIVERA VARGAS, MANUEL A | — |
| 17810264 | BATCH WORKLOAD CONTROL BASED ON CAPACITY CONSUMPTION | RIGGINS, ARI FAITH COLEMA | — |
| Art Unit | Apps |
|---|---|
| 2127 | 2 |
| 2161 | 1 |
| 2857 | 1 |
| 2129 | 1 |
| 2113 | 1 |
| 2197 | 1 |
| 2124 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18743641 | LOG RECOVERY FOR INTER-TABLESPACE TABLE MIGRATION | SYED, FARHAN M | 2161 | §103 | Non-Final OA | 19d overdue | Pending | Jun 14, 2024 |
| 18622305 | ENHANCEMENT EVENT DETERMINATION AND USE IN SYSTEM MONITORING | RIVERA VARGAS, MANUEL A | 2857 | §101 | Non-Final OA | — | Pending | Mar 29, 2024 |
| 18511550 | PREDICTING CAUSAL IMPACT FROM SCENARIOS | THOMPSON, ALMA BENNETT | 2129 | §101§102§103 | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18511543 | PREDICTING PRIORITY OF SITUATIONS | NGUYEN, AMANDA DANG | 2127 | §101§103Other | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18511530 | ADAPTIVE SCENARIOS GENERATION FROM SITUATIONS | NGUYEN, AMANDA DANG | 2127 | §101§103 | Non-Final OA | — | Pending | Nov 16, 2023 |
| 18194190 | EFFICIENT TRAINING OF MACHINE LEARNING MODELS FOR LOG RECORD ANALYSIS | MANOSKEY, JOSEPH D | 2113 | §101 | Non-Final OA | — | Pending | Mar 31, 2023 |
| 17810264 | BATCH WORKLOAD CONTROL BASED ON CAPACITY CONSUMPTION | RIGGINS, ARI FAITH COLEMA | 2197 | §103§112 | Non-Final OA | — | Pending | Jun 30, 2022 |
| 17657625 | CAUSAL EVENT PREDICTION FOR EVENTS | NAULT, VICTOR ADELARD | 2124 | §103 | Final Rejection | 26d | Pending | Mar 31, 2022 |
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Start Free TrialBMC Software Inc. has 8 pending office actions as of October 2026, spread across 7 art units and 7 examiners.
Amanda Dang Nguyen has the most, with 2 of BMC Software Inc.'s pending office actions.
Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.
