Abstract: A computing device trains a recurrent neural network (RNN), using a balanced dataset, to predict whether logs input to the RNN are indicative of respective successful computer code or respective failed computer code, the balanced dataset comprising positive log examples and negative log examples from a continuous integration (CI) pipeline, the positive log examples labelled as being indicative of successful computer code, and the negative log examples labelled as being indicative of failed computer code. The computing device inputs a log to the RNN, and monitors evolution of belief predictions of the RNN, as the RNN is analyzing the log, according to successive regions of the log. The computing devices determines, based on the evolution of the belief predictions, that a given region of the log meets a log fatal error criterion condition, and outputs an indication of the given region.

Abstract: The invention concerns a method and a system for encoding digital data (DATA) represented by source symbols, with an error correcting code generating parity symbols from, for each parity symbol, a plurality of source symbols and at least one parity symbol of preceding rank, including at least encrypting once (54) at least one first value (P1) into several encrypted values and integrating at least one combination (P1,j) of said encrypted values to compute (55) at least one part (P2 . . . Pn?k) of said parity symbols.

Abstract: The invention concerns a method and a system for encoding digital data (DATA) represented by source symbols, with an error correcting code generating parity symbols from, for each parity symbol, a plurality of source symbols and at least one parity symbol of preceding rank, including at least encrypting once (54) at least one first value (P1) into several encrypted values and integrating at least one combination (P1,j) of said encrypted values to compute (55) at least one part (P2 . . . Pn-k) of said parity symbols.

Abstract: A method and a system for coding digital data represented by source symbols (Si) with an error-correction code. The error-correction code generates parity symbols (Pj) based on, for each parity symbol, several source symbols and at least one parity symbol of preceding rank. At least a part of the source symbols is submitted to at least a first ciphering. The obtained ciphered symbols and the rest of the unciphered source symbols are submitted to the error-correction code. Accordingly, the present disclosure improves the security of the transmitted data. The present disclosure is also compatible with the management of different groups of users. The present disclosure is well adapted to large-scale broadcasting systems and provides a solution compatible with any ciphering algorithm. In addition, the present disclosure is particularly well adapted for use with LDPC-type error-correction codes.