Prosecution Insights
Last updated: May 29, 2026
Application No. 18/050,094

AUTOMATED TEST CASE GENERATION USING COMPUTER VISION

Non-Final OA §102
Filed
Oct 27, 2022
Examiner
KENDALL, CHUCK O
Art Unit
2192
Tech Center
2100 — Computer Architecture & Software
Assignee
International Business Machines Corporation
OA Round
1 (Non-Final)
87%
Grant Probability
Favorable
1-2
OA Rounds
0m
Est. Remaining
94%
With Interview

Examiner Intelligence

Grants 87% — above average
87%
Career Allowance Rate
801 granted / 920 resolved
+32.1% vs TC avg
Moderate +7% lift
Without
With
+7.4%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
15 currently pending
Career history
941
Total Applications
across all art units

Statute-Specific Performance

§101
7.6%
-32.4% vs TC avg
§103
27.9%
-12.1% vs TC avg
§102
51.3%
+11.3% vs TC avg
§112
0.5%
-39.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 920 resolved cases

Office Action

§102
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . This is in response to Application filed 10/27/22. Claims 1 – 18 has been examined and is pending. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention. Claim(s) 1 – 18 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Kumar et al. US 20210374040 A1. Regarding claims 1, 7, and 13, Kumar anticipates a computer-implemented method/computer program product/computer system for using computer vision to automatically generate a unit test case, the method comprising: converting a text file of a source code to an image file of the source code [0055, see performed on source code and converting between images and OCR recognition/hash code, and output formats including plain text]; inputting the image file to a neural network having been trained with source code images [0050, see trained using machine learning and neural networks]; identifying, by the neural network, elements in the image file [0050 – 0055]; generating, by the neural network, a resulting image including identified elements in the image file [0050 – 0055]; extracting the identified elements from the resulting image [0058, see extracting]; generating a text file including a key value map of the identified elements; and generating a scaffold of a unit test case, based on the key value map [0050 – 0058, see intelligent mapper]. Regarding claims 2, 8 and 14, the computer-implemented method of claim 1, further comprising: feeding the key value map to a unit test case generator; and wherein the unit test case generator creates the scaffold of the unit test case [0042, see test case and automation]. Regarding claims 3, 9 and 15, the computer-implemented method of claim 1, further comprising: receiving expected values in the scaffold and making the unit test case ready for use [0042 – 0053]. Regarding claims 4, 11 and 16, the computer-implemented method of claim 3, wherein the expected values are inputted by a user [0048, see user and making selections]. Regarding claims 5, 12 and 17, the computer-implemented method of claim 3, wherein the expected values are received from a second neural network, wherein the second neural network is trained by learning from users [0050 – 0058]. Regarding claims 6 and 18, the computer-implemented method of claim 1, wherein the identified elements include functions, arguments of the functions, and variable types of inputs and outputs of the functions [0042 – 0048]. Correspondence Information Any inquiry concerning this communication or earlier communications from the examiner should be directed to Chuck Kendall whose telephone number is 571-272-3698. The examiner can normally be reached on 10:00 am - 6:30pm. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Hyung Sough can be reached on 571-272-6799. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only [0060 – 0080]. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). /CHUCK O KENDALL/ Primary Examiner, Art Unit 2192
Read full office action

Prosecution Timeline

Oct 27, 2022
Application Filed
Nov 02, 2023
Response after Non-Final Action
Oct 01, 2025
Non-Final Rejection mailed — §102
Apr 02, 2026
Response after Non-Final Action

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12632367
HARDWARE RELIABILITY DIAGNOSTICS AND FAILURE DETECTION VIA PARALLEL SOFTWARE COMPUTATION AND COMPARE
5y 3m to grant Granted May 19, 2026
Patent 12632246
DEPLOYING PATCHES VIA RPMS
3y 8m to grant Granted May 19, 2026
Patent 12632234
AUTOMATICALLY REPLACING CODE IN PROGRAM THAT MANIPULATES TWO VECTORS OF DATA TO IMPROVE EXECUTION TIME
3y 8m to grant Granted May 19, 2026
Patent 12632240
DEPLOYING ASSETS
3y 5m to grant Granted May 19, 2026
Patent 12619417
IN SERVICE UPGRADE OF RADIO ACCESS NETWORK DISTRIBUTED UNIT OF A CELLULAR NETWORK
3y 4m to grant Granted May 05, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2
Expected OA Rounds
87%
Grant Probability
94%
With Interview (+7.4%)
2y 11m (~0m remaining)
Median Time to Grant
Low
PTA Risk
Based on 920 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month