The 2010 Report of the Presidents Council of Advisors on Science and Technology PCAST, entitled ?Designing a Digital Future: Federally Funded Research and Development in Networking and Information Technology,? documents the transformation of our society driven by advances in networking and information technology, catalyzed by our nations past investments in research. Our world today relies to an astonishing degree on systems, tools, and services that belong to a vast and still growing _domain known as Networking and Information Technology NIT...

JuanjoLopez19/Software-Engineering-Dataset_90_10_EN dataset hosted on Hugging Face and contributed by the HF Datasets community

This dataset tracks annual distribution of students across grade levels in Academy For Software Engineering

To inform a community strategy for building and maintaining U.S. leadership in software engineering and AI engineering, the Carnegie Mellon University's Software Engineering Institute (CMU SEI) and the Software Productivity, Sustainability, and Quality (SPSQ) Interagency Working Group co-hosted the workshop at the National Science Foundation from June 20th to the 21st, 2023. The event gathered thought leaders from federal research funding agencies, research laboratories, mission agencies, and commercial organizations. Participants used the SEI’s Architecting the Future of Software Engineering: A National Agenda for Software Engineering Research and Development1 as a starting point because the areas of focus that the study identifies have been confirmed as increasingly critical, particularly due to the rapid advances of generative artificial intelligence (AI) in the two years since its release. Specifically, participants identified the following three research areas from the study as having direct relevance: AI-augmented Software Development, Assuring Continuously Evolving Software Systems, and Engineering AI-Enabled Software Systems...

High-quality, free software engineer jobs Dataset from the United States, in CSV format. Over 58.000 records relevant to investors, recruiters, agencies, and software engineers. We are working on complete datasets from a wide variety of countries. Don't hesitate to contact us for more information.

In 2020, with ** percent, demand for backend software engineers was high in North America and Europe. In spite of the fact that many companies had to pause hiring efforts completely or partially in 2020 due to the COVID-19 pandemic, demand for software engineers for specific roles remained high.

Software engineering metrics collected via SourceMeter for open-source Java repositories.

The global software engineering market is projected to reach USD 121.1 billion by 2033, exhibiting a CAGR of 9.5% during the forecast period 2025-2033. The market growth is attributed to the increasing adoption of software engineering tools and techniques, the growing demand for software applications in various industries, and the rising need for software engineers to develop new and innovative software products. The key drivers of the software engineering market include the growing adoption of cloud computing, the increasing use of artificial intelligence and machine learning, the rising demand for digital transformation, and the need for software engineers to develop new and innovative software products. The market is also driven by the increasing use of software engineering techniques such as agile development, DevOps, and test-driven development. These techniques help software engineers to develop software products faster, more efficiently, and with higher quality. The market is also driven by the growing demand for software engineers to develop new and innovative software products. Software engineers are in high demand because they have the skills and knowledge necessary to develop software products that meet the needs of businesses and consumers. The market is also driven by the need for software engineers to develop new and innovative software products. Software engineers are in high demand because they have the skills and knowledge necessary to develop software products that meet the needs of businesses and consumers.

Software Engineering Market Outlook

The global software engineering market size was valued at approximately $350 billion in 2023 and is projected to reach around $700 billion by 2032, exhibiting a robust compound annual growth rate (CAGR) of about 8%. This accelerated growth is primarily driven by the continuous advancements in technology and the increasing demand for software solutions across various industries. As businesses worldwide are undergoing digital transformation, the need for efficient, scalable, and secure software has become crucial, propelling the software engineering market forward. Additionally, the rise of cloud computing, artificial intelligence, and machine learning are significant growth factors, creating a conducive environment for the expansion of software engineering services globally.

Several factors are attributing to the growth of the software engineering market. Firstly, the increasing emphasis on digitization across almost all sectors is a significant driver. Organizations, regardless of their industry, are realizing the importance of digitization in improving operational efficiency and customer experience. This has led to an upsurge in demand for bespoke software solutions that can cater to specific organizational needs. Moreover, the shift towards remote work due to unforeseen circumstances like the global pandemic has further accelerated the adoption of software solutions to ensure seamless communication and collaboration among remote teams. The necessity to integrate advanced technologies into existing systems to stay competitive is another critical factor fueling this market's growth.

Secondly, the surge of interest in emerging technologies such as artificial intelligence, machine learning, and blockchain is propelling the market forward. Companies are increasingly investing in these technologies to enhance their product offerings and optimize their business operations. This trend is opening new avenues for software engineering services, as there is a growing need for expertise in developing and integrating these advanced technologies into business processes. The development of AI-driven applications requires specialized software engineering skills, which is creating a demand for skilled software engineers proficient in these cutting-edge technologies.

Another growth factor is the global expansion of the IT and telecommunications sector, which is heavily reliant on software engineering services. With the proliferation of smart devices and the Internet of Things (IoT), there is an ever-growing demand for sophisticated software to manage and analyze data generated from these devices. This has necessitated the development of software engineering solutions capable of handling large volumes of data with efficiency and accuracy. Furthermore, the increasing focus on cybersecurity and data protection is compelling businesses to invest in robust software solutions, further driving the growth of the software engineering market.

Software Development Services are at the core of this market's expansion, offering tailored solutions that address unique business challenges. As companies strive to innovate and differentiate themselves, the demand for specialized software development services has surged. These services encompass a wide range of offerings, from developing simple applications to complex enterprise systems, ensuring that businesses can adapt to changing market dynamics. The ability to create custom software solutions allows organizations to optimize their operations, enhance customer engagement, and gain a competitive edge. With the rapid advancement of technology, software development services are evolving to incorporate the latest trends, such as cloud computing and AI, further driving their importance in the software engineering market.

Regionally, North America holds a significant share of the software engineering market, driven by the presence of major technology giants and a robust infrastructure that supports technological advancements. The Asia Pacific region is anticipated to witness the highest growth during the forecast period, owing to rapid industrialization and the increasing adoption of IT solutions in countries like China and India. Europe also presents lucrative opportunities due to the growing digitization efforts in various sectors. Meanwhile, Latin America and the Middle East & Africa are experiencing steady growth, with increasing investments in IT infrastructure and a focus on digital transformation initiatives.

This dataset tracks annual white student percentage from 2013 to 2023 for Academy For Software Engineering vs. New York and New York City Geographic District # 2 School District

The Software Engineering Skillset Dataset comprises Soft Skills, Life Skills, and Technical Skills, which are key components for evaluating and predicting the software engineering competencies of computer science students. The surveys, conducted using a meticulously crafted questionnaire, served as the primary data collection method, targeting computer science students in software engineering courses across higher educational institutions in Kerala, India. This extensive survey engaged over two thousand students, evaluating each skill category through a dedicated assessment quiz comprising a total of fifteen questions. The survey was designed to assess Soft Skills, Life Skills, and Technical Skills through a series of questions, each employed a six-point scale for responses as follows: 0: "Never" 1: "Rarely" 2: "Sometimes" 3: "Often" 4: "Mostly" 5: "Always" The dataset, designed as a classification problem, features two distinct classes (0 and 1). Participants scoring above 60% in each skill area are classified as proficient. The survey comprises three segments and 54 questions for a detailed evaluation of the skills: 1. Soft Skills: Assessed through five tests covering 18 attributes. 2. Life Skills: Evaluated through five tests focusing on nine attributes, emphasizing workplace practices and developmental strategies. 3. Technical Skills: Measured via five tests with nine specific features. This dataset not only enables a comprehensive analysis of individual and combined skills but also provides valuable insights for students, highlighting their academic strengths and areas needing improvement.

A collection of evidence briefings produced through a rapid literature review protocol the Department of Software Engineering and Research at Sandia National Laboratories. These briefings are described in our research paper, "Seeking Enlightenment: Incorporating Evidence-Based Practice Techniques in a Research Software Engineering Team", which was accepted for publication at the 1st Annual Conference of the United States Research Software Engineer Association (US-RSE'23).

Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy's National Nuclear Security Administration under contract DE-NA0003525. SAND2023-06549O.

Life Skills

The global software engineering market size was around USD 151.6 billion in 2024 and is likely to expand at a CAGR of around 6.9%, surpassing USD 360.92 billion revenue by 2037. Cloud segment is projected to capture 59.8% share by 2037, driven by unmatched accessibility, affordability, and scalability of cloud computing, transforming digital infrastructure and business processes.

users

This dataset contains results from an interview study deployed between April and June 2020 to understand the changing situation in research software engineering work environments as a result of the COVID-19 pandemic. The study took place over an eight-week period, during which 17 self-identified research software engineers (RSEs) recorded their thoughts about the impact of the pandemic on their work and lifestyles. Each weekly entry included a series of questions based on the agile software engineering retrospective, a technique used within agile teams to look back on previous work. The first week followed a basic retrospective format, asking participants to assess what went well and didn’t go well, and to identify areas that could be improved going forward. To encourage ongoing participation, questions in subsequent weeks were adapted from creative retrospective plans designed by agile practitioners. An invitation to take part was issued via various international RSE social media channels in two batches, resulting in 11 participants starting in the week commencing on the 6th of April, and six starting in the week of the 20th of April. In total, 17 participants responded to the invitation; 15 agreed to participate after the first week. Participants were sent an email each week inviting them to complete a diary entry for a total of eight weeks; data were collected through a survey deployed via JISC’s Online Surveys.The consent form and a pdf of the first week of questions are included in the materials to provide an example of how the survey was administered. The entry week and questions are reported in full in columns A and B in the spreadsheet accordingly. To avoid identification of individuals, demographic information and some contextual information has been redacted. Redactions are indicated by *** in the response.The study was conducted as part of the STRIDE project: https://stride.org.uk.

This is data from projects within the scope of the CESAW research project. The data contains detailed logs of software project development at the task level. All project effort, defects, and size have been recorded for each individual task performed. There are 35 projects within this data set. The project objective was to measure the cost and benefits of applying Static analysis to development.

Graph and download economic data for Software Development Job Postings on Indeed in the United States (IHLIDXUSTPSOFTDEVE) from 2020-02-01 to 2025-08-22 about software, jobs, and USA.

Survey of Project Characteristics in Software Engineering-DATASET

The web sites of journals were accessed for their current (July 2020, double-checked January 2021) issues. Peer reviewed research article (i.e., excluding commentary, letters, etc) were selected on the basis that their titles implied code had been used in the published research.

A list of full citations, including DOIs, is provided in the supplementary material.

The associated articles (PDFs) were read by the author, and all links to supplementary material examined. Where possible, code from the links was downloaded and assessed.

In addition, the code policies, where available, of the relevant journals (at the time of the survey) were copied into the supplementary material.

The article’s supplementary material has further details of the assessment and the individual results, and is therefore an essential part of this Dryad data.

NOTE

It is important that this survey is not taken as an evaluation, whether praise or criticism, of any specific paper: any measurement i...