US 11,790,143 B2
Collateral correlated regression in version control repository
Kousik Dan, Bangalore (IN); Sandeep Korrapati, Bangalore (IN); Joji P George, Bangalore (IN); Amarnath Thulabanthula, Bangalore (IN); Nitish Jindal, Bangalore (IN); and Madhuri Soma, Bangalore (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Jun. 15, 2021, as Appl. No. 17/347,680.
Prior Publication US 2022/0398368 A1, Dec. 15, 2022
Int. Cl. G06F 30/333 (2020.01); G06F 30/327 (2020.01); G06F 16/21 (2019.01); G06N 20/00 (2019.01)
CPC G06F 30/333 (2020.01) [G06F 16/211 (2019.01); G06F 30/327 (2020.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
identifying a register-transfer-level (RTL) design;
converting the RTL design into a control data flow graph having a plurality of nodes and a plurality of arcs;
generating a mapping table with a machine learning database from a set of test cases based on the control data flow graph; and
selectively calling one or more test cases of the set of test cases to merge a branch to a main repository.