PATENT CLAIM ANALYSIS

Application Number: 16152729
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["717", "170000"]

Abstract:
According to an example, machine readable instructions backward compatibility may include determining changes between first and second sets of machine readable instructions, and generating a backward compatibility switch. The backward compatibility switch may be implemented in the second set of machine readable instructions to selectively revert functionality to functionality of the first set of machine readable instructions.

Claim (Index 9):
An apparatus for generating backwards-compatibility between different versions of a computer program, the apparatus comprising:\n a processor; and a memory storing machine-readable instructions that, when executed by the processor, cause the processor to: compare machine readable instructions of a first version of the computer program with machine readable instructions of a second version of the computer program; identify a number of changes in the machine-readable instructions between the first and second versions of the computer program; and for each identified change, generate a backward compatibility switch, each backward compatibility switch comprising additional code inserted into the second version of the computer program that selectively disables operation of the identified code change upon execution of the second version of the computer program so that execution of the second version of the computer program produces an output more like that of the first version of the computer program.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 97.0
- Lexical Diversity: 1.84848
- Patent Class: 717.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15543537', '13940777', '14107394', '14532128', '15228230']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.312058462556635
- 35 USC 102 Novelty (BERT): 0.5054466191564845
- Combined Prediction Score: 0.3313972782166199
- Mean Citation Score: 158.399562
- Max Citation Score: 259.5858
- Similarity Product: 233.91747827489377

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test