Dataset

This dataset was created by Shaurya PS Bisht

Released under CC BY-SA 3.0

Contents

The global C++ program development market is projected to grow from USD XXX million in 2025 to USD XXX million by 2033, at a CAGR of XX%. The rising demand for high-performance and cross-platform applications across various industries, including commercial, industrial, and entertainment, is driving the market growth. The adoption of C++ for developing high-performance computing applications, embedded systems, and real-time operating systems is further contributing to market expansion. However, the market faces challenges such as the shortage of skilled C++ developers and the emergence of alternative programming languages like Java and Python, which pose competition to C++. Moreover, the increasing complexity of C++ code and the need for specialized tools and expertise can hinder the market's growth. The market is segmented by type (desktop applications, web applications, mobile applications, embedded applications, distributed applications), application (commercial office, industrial production management, game entertainment, others), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). The North American region is expected to hold a significant market share due to the presence of major technology companies and the high demand for C++-developed applications in the region. Asia Pacific is also expected to witness significant growth due to the increasing adoption of C++ in the rapidly developing economies of the region. C++ Program Development Market: An In-Depth Analysis Website: Market Research Future

Question Paper Solutions of chapter Object & Classes of Object Oriented Programming with C++, 4th Semester , Bachelor of Computer Applications

Provides an overview of the C++ language with a focus on its use in accessing resources of the National Center for Biotechnology Information at the National Library of Medicine, National Institutes of Health.

This dataset is about books. It has 1 row and is filtered where the book is Beginning C++ game programming. It features 7 columns including author, publication date, language, and book publisher.

Evaluation data of the published paper: "MARX: Uncovering Class Hierarchies in C++ Programs". The paper was published at the Symposium on Network and Distributed System Security (NDSS) 2017.

The paper is available at: https://www.syssec.rub.de/research/publications/marx/

Abstract:

Reverse engineering of binary executables is a difficult task which gets more involved by the way compilers translate high-level concepts used in paradigms such as object-oriented programming into native code, as it is the case for C++. Such code is harder to grasp than, e. g., traditional procedural code, since it is generally more verbose and adds complexity through features such as polymorphism or inheritance. Hence, a deep understanding of interactions between instantiated objects, their corresponding classes, and the connection between classes would vastly reduce the time it takes an analyst to understand the application. The growth in complexity in contemporary C++ applications only amplifies the effect.

In this paper, we introduce Marx, an analysis framework to reconstruct class hierarchies of C++ programs and resolve virtual callsites. We have evaluated the results on a diverse set of large, real-world applications. Our experimental results show that our approach achieves a high precision (93.2% of the hierarchies reconstructed accurately for Node.js, 88.4% for MySQL Server) while keeping analysis times practical. Furthermore, we show that, despite any imprecision in the analysis, the derived information can be reliably used in classic software security hardening applications without breaking programs. We showcase this property for two applications built on top of the output of our framework: vtable protection and type-safe object reuse. This demonstrates that, in addition to traditional reverse engineering applications, Marx can aid in implementing concrete, valuable tools e. g., in the domain of exploit mitigations.

This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)

Abstract This article discusses an efficient implementation of tensors of arbitrary rank by using some of the idioms introduced by the recently published C++ ISO Standard (C++11). With the aims at providing a basic building block for high-performance computing, a single Array class template is carefully crafted, from which vectors, matrices, and even higher-order tensors can be created. An expression template facility is also built around the array class template to provide convenient mathematical syn...

Title of program: cpp-array Catalogue Id: AESA_v1_1

Nature of problem Tensors are a basic building block for any program in scientific computing. Yet, tensors are a built-in component of the C++ programming language.

Versions of this program held in the CPC repository in Mendeley Data AESA_v1_0; cpp-array; 10.1016/j.cpc.2014.01.005 AESA_v1_1; cpp-array; 10.1016/j.cpc.2014.07.015

Dataset Card for the Juliet Test Suite 1.3

  Dataset Summary

This Datasets contains all test cases from the NIST's Juliet test suite for the C and C++ programming languages. The dataset contains a benign and a defective implementation of each sample, which have been extracting by means of the OMITGOOD and OMITBAD preprocessor macros of the Juliet test suite.

  Supported Tasks and Leaderboards

Software defect prediction, code clone detection.

  Languages… See the full description on the dataset page: https://huggingface.co/datasets/LorenzH/juliet_test_suite_c_1_3.

Question Paper Solutions of chapter Introduction to OOPs of Object Oriented Programming with C++, 4th Semester , Bachelor of Computer Applications

The dataset is provided as a .zip archive containing two .csv data files. These two data files contain the results of a series of timing runs made with a suite of 28 C test programs and 20 C++ test programs using three different computers and two operating systems (Windows and Linux). All 48 test programs carry out processing of two-dimensional arrays. One of the files, "C_CppTimeTestsAllRecords.csv", contains three replicated times for each of 960 combinations of factor levels that potentially might have affected the time required to process two-dimensional arrays. The other file, "C_CppTimeTestsAverages.csv", contains the average of the three replicated times for each of the 960 combinations of factor levels. Both files have the same column headers and data formats, and the meaning of the data fields (columns) is the same in both files, with one exception. The exception is that the file for all records contains actual runtimes (in seconds) in the "ProcTime" field, whereas the other file contains averaged runtimes in the "ProcTime" field.

Research data for the Section "4. Impact" of the article "Clava: C/C++ source-to-source compilation using LARA"

It contains the required files and instructions to obtain the results presented in sections 4.1 and 4.3.

4.1. Stress Test

Automatically instruments several large C programs so that they produce a call graph when the program executes.

To run the test use the command: clava -c stress_test.clava

Some examples (e.g., gcc.c) will only parse sucessfully on a Linux machine.

4.3. OpsCounter

Automatically instruments the NAS benchmark set so that it counts the number of source code operations executed by the kernels.

To run the test use the command: clava -c ops_counter.clava

In this paper we look at the Eclipse IDE and its support for CDT (C/C++ Development Tools). Eclipse is an open source IDE and supports a variety of programming languages including plugin functionality. Eclipse supports the standard GNU environment for compiling, building and debugging applications. The CDT is a plugin which enables development of C/C++ applications in eclipse. It enables functionality including code browsing, syntax highlighting and code completion. We verify a 50X improvement in LOC automation for Fake class .cpp / .h and class test .cpp code generation.

The online programming courses market is experiencing robust growth, driven by the increasing demand for skilled software developers and the accessibility of online learning platforms. The market size in 2025 is estimated at $25 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This significant growth is fueled by several factors: the rising adoption of online learning methodologies, particularly among professionals seeking upskilling or reskilling opportunities; the proliferation of diverse programming languages, creating a continuous need for specialized training; and the increasing affordability and accessibility of high-quality online courses. The market's segmentation reveals a strong preference for Java, Python, and C/C++ languages, reflecting their widespread industry applications. Web development and software development remain the dominant application segments, highlighting the substantial industry demand. Leading players like Coursera, Udemy, and edX leverage their established brand reputation and course quality to maintain their market share. However, new entrants and specialized platforms focusing on specific niche languages or technologies are also emerging, creating a competitive yet dynamic market landscape. The projected CAGR of 15% suggests a substantial market expansion, with the market size anticipated to reach approximately $70 billion by 2033. This growth trajectory is expected to be influenced by ongoing technological advancements, the expanding digital economy, and government initiatives promoting digital literacy. The regional distribution of the market is expected to be geographically diverse, with North America and Europe holding significant market shares initially, followed by a steady increase in demand from Asia-Pacific regions like India and China, driven by a burgeoning tech industry and a growing young population eager to embrace digital skills. However, challenges such as inconsistent internet access in certain regions and concerns about the quality and authenticity of online courses might pose some restraints on the market's overall growth. Nevertheless, the overall forecast points to sustained and significant growth in the online programming courses market over the next decade.

Question Paper Solutions of chapter Overview of Template & Exception of Object Oriented Programming with C++, 4th Semester , Bachelor of Computer Applications

Question Paper Solutions of chapter Inheritance of Object Oriented Programming with C++, 4th Semester , Bachelor of Computer Applications

Automated Program Repair (APR) plays a critical role in enhancing the quality and reliability of software systems. While substantial progress has been made in Java-based APR, largely facilitated by benchmarks like Defects4J, there remains a significant gap in research on C/C++ program repair, despite the widespread use of C/C++ and the prevalence of associated vulnerabilities. This gap is primarily due to the lack of high-quality, open-source benchmarks tailored for C/C++. To address this issue, we introduce Defects4C, a comprehensive and executable benchmark specifically designed for C/C++ program repair. Our dataset is constructed from real-world C/C++ repositories and includes a large collection of bug-relevant commits (9M in total), 248 high-quality buggy functions, and 102 vulnerable functions, all paired with test cases for reproduction. These resources enable rigorous evaluation of repair techniques and support the retraining of learning-based approaches for enhanced performance. Using Defects4C, we conduct a comprehensive empirical study evaluating the effectiveness of 24 state-of-the-art large language models (LLMs) in repairing C/C++ faults. Our findings offer valuable insights into the strengths and limitations of current LLM-based APR techniques in this domain, highlighting both the need for more robust methods and the critical role of Defects4C in advancing future research

Explore the dynamic High-Level Synthesis (HLS) compilers market, driven by AI, FPGA innovation, and faster chip design. Discover market size, CAGR, key players like Intel & Xilinx, and future trends through 2033.

Conductance-based models of neurons are used extensively in computational neuroscience. Working with these models can be challenging due to their high dimensionality and large number of parameters. Here, we present a neuron and network simulator built on a novel automatic type system that binds object-oriented code written in C++ to objects in MATLAB. Our approach builds on the tradition of uniting the speed of languages like C++ with the ease-of-use and feature-set of scientific programming languages like MATLAB. Xolotl allows for the creation and manipulation of hierarchical models with components that are named and searchable, permitting intuitive high-level programmatic control over all parts of the model. The simulator's architecture allows for the interactive manipulation of any parameter in any model, and for visualizing the effects of changing that parameter immediately. Xolotl is fully featured with hundreds of ion channel models from the electrophysiological literature, and can be extended to include arbitrary conductances, synapses, and mechanisms. Several core features like bookmarking of parameters and automatic hashing of source code facilitate reproducible and auditable research. Its ease of use and rich visualization capabilities make it an attractive option in teaching environments. Finally, xolotl is written in a modular fashion, includes detailed tutorials and worked examples, and is freely available at https://github.com/sg-s/xolotl, enabling seamless integration into the workflows of other researchers.