G06F8/73

IMPLEMENTING COMPILER-BASED MEMORY SAFETY FOR A GRAPHIC PROCESSING UNIT

While a compiler compiles source code to create an executable binary, code is added into the compiled source code that, when executed, identifies and stores in a metadata table base and bounds information associated with memory allocations. Additionally, additional code is added into the compiled source code that performs memory safety checks during execution. This updated compiled source code automatically determines a safety of memory access requests during execution by performing an out-of-bounds (OOB) check using the base and bounds information retrieved and stored in the metadata table. This enables the identification and avoidance of unsafe memory operations during the implementation of the executable by a GPU.

COMPLIANCE ADAPTION PLANS AND SOFTWARE COMPONENT MATCHMAKING

Aspects of the invention include correlating a context of a written data privacy requirement with a first code segment of a source code of a target computer system. A selection of a first candidate code segment is received to replace the first code segment. The selected first candidate code segment is determined to have replaced the first code segment and is integrated into the source code. A stimulation signal is transmitted to the target computer system, wherein the stimulation signal is directed toward the first candidate code segment integrated into the source code.

COMPLIANCE ADAPTION PLANS AND SOFTWARE COMPONENT MATCHMAKING

Aspects of the invention include correlating a context of a written data privacy requirement with a first code segment of a source code of a target computer system. A selection of a first candidate code segment is received to replace the first code segment. The selected first candidate code segment is determined to have replaced the first code segment and is integrated into the source code. A stimulation signal is transmitted to the target computer system, wherein the stimulation signal is directed toward the first candidate code segment integrated into the source code.

INTELLIGENT PLATFORM FOR DOCUMENTATION AUTHORING AND PRODUCTION

Computer-readable media, methods, and systems are disclosed for producing updated software documentation for a software product. A plurality of versioned source code change indications are received corresponding to changes in a plurality of source code files, which are associated with a target version of the software product. A plurality of documentation sources and associated documentation metadata is received corresponding to the plurality of versioned source code change indications. The plurality of documentation sources is merged based on the plurality of versioned source code change indications and the target version of the software product. Based on determining a set of impacted software documentation outputs, a current version of documentation build tools is fetched based on the merged plurality of merged documentation sources. Software documentation output components are built with the current version of documentation build tools. Finally, the software documentation output components are published to a primary container store.

INTELLIGENT PLATFORM FOR DOCUMENTATION AUTHORING AND PRODUCTION

Computer-readable media, methods, and systems are disclosed for producing updated software documentation for a software product. A plurality of versioned source code change indications are received corresponding to changes in a plurality of source code files, which are associated with a target version of the software product. A plurality of documentation sources and associated documentation metadata is received corresponding to the plurality of versioned source code change indications. The plurality of documentation sources is merged based on the plurality of versioned source code change indications and the target version of the software product. Based on determining a set of impacted software documentation outputs, a current version of documentation build tools is fetched based on the merged plurality of merged documentation sources. Software documentation output components are built with the current version of documentation build tools. Finally, the software documentation output components are published to a primary container store.

DISCOVERING AND REMEDIATING HIDDEN SECRETS IN CODE FILES
20230109730 · 2023-04-13 · ·

Disclosed embodiments relate to systems and methods for discovering and remediating hidden secrets in code files. Techniques include accessing an element of source code for analysis, performing a static analysis of the element of source code, and generating a control flow representation that identifies a plurality of functions and a sequence of functions associated with the element of the source code. The techniques may further include determining a probability of a hidden secret being included in the element of source code and performing a security action of at least one of: generating an alert, displaying a visual indication of the probability, generating a report associated with the hidden secret, sending data associated with the probability to a machine learning system for training the machine learning system, or a remediating action associated with the hidden secret.

DISCOVERING AND REMEDIATING HIDDEN SECRETS IN CODE FILES
20230109730 · 2023-04-13 · ·

Disclosed embodiments relate to systems and methods for discovering and remediating hidden secrets in code files. Techniques include accessing an element of source code for analysis, performing a static analysis of the element of source code, and generating a control flow representation that identifies a plurality of functions and a sequence of functions associated with the element of the source code. The techniques may further include determining a probability of a hidden secret being included in the element of source code and performing a security action of at least one of: generating an alert, displaying a visual indication of the probability, generating a report associated with the hidden secret, sending data associated with the probability to a machine learning system for training the machine learning system, or a remediating action associated with the hidden secret.

INTELLIGENT AUTOMATED FEATURE TOGGLE SYSTEM USING ANNOTATIONS

A method includes receiving, by one or more processors of a computer system, source code, annotating, by the one or more processors of the computer system, features of the received source code using an automated annotation system to provide annotations for the features, relating, by the one or more processors of a computer system, a code execution path of the source code to the features during the annotating, identifying, by the one or more processors of the computer system, a runtime issue associated with the source code, identifying, by the one or more processors of the computer system using a code analytic engine, one or more of the features based on the annotations that are associated with the runtime issue, and automatically disabling, by the one or more processors of the computer system, the identified one or more features associated with the runtime issue.

INTELLIGENT AUTOMATED FEATURE TOGGLE SYSTEM USING ANNOTATIONS

A method includes receiving, by one or more processors of a computer system, source code, annotating, by the one or more processors of the computer system, features of the received source code using an automated annotation system to provide annotations for the features, relating, by the one or more processors of a computer system, a code execution path of the source code to the features during the annotating, identifying, by the one or more processors of the computer system, a runtime issue associated with the source code, identifying, by the one or more processors of the computer system using a code analytic engine, one or more of the features based on the annotations that are associated with the runtime issue, and automatically disabling, by the one or more processors of the computer system, the identified one or more features associated with the runtime issue.

System and method of industrial automation multi-developer control code change commits

An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. The industrial IDE also permits localized development of system projects, and provides an infrastructure for sharing and selectively synchronizing project edits among multiple locally stored versions of the system project.