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COBOL Programming Language

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COBOL Programming Language logo - RF Cafe

COBOL, which stands for Common Business-Oriented Language, was created in 1959 as a result of efforts to develop a programming language tailored for business applications. The invention of COBOL was a collaborative endeavor involving a group called the Conference on Data Systems Languages (CODASYL), initiated by Charles A. Phillips, then head of the Data Systems Division of the Department of Defense. Grace Hopper, a pioneering computer scientist and a member of CODASYL, played a crucial role in its development, particularly due to her earlier work on the FLOW-MATIC language, which influenced COBOL's syntax and functionality.

The primary objective of COBOL was to provide a standardized, human-readable programming language that could be widely adopted across various industries and hardware platforms. Its syntax, inspired by English, allowed non-technical personnel such as managers and analysts to read and understand the code, bridging the gap between technical and business domains. COBOL programs typically consist of four divisions: Identification, Environment, Data, and Procedure, reflecting a structured approach to coding that remains its hallmark.

COBOL became indispensable in industries that required robust data processing capabilities, such as banking, finance, insurance, and government operations. Its ability to handle large volumes of data, execute batch processing efficiently, and ensure compatibility across different systems made it ideal for transaction processing and payroll management. Hardware platforms of the 1960s and 1970s, including IBM mainframes like the System/360 and later systems such as DEC VAX computers, widely adopted COBOL as their primary programming language. COBOL was designed to be platform-independent, which contributed to its widespread use.

By the 1980s, COBOL had become ubiquitous, underpinning critical systems worldwide. However, its dominance led to significant challenges as the century approached its close. One of the most notable issues was the Y2K (Year 2000) problem. COBOL programs often represented years with two digits to save memory and storage, a valuable commodity during the early days of computing. For instance, the year 1975 would be stored as "75." While this practice was efficient at the time, it caused widespread concern as the year 2000 neared, since computers would interpret the two-digit representation "00" ambiguously, potentially leading to errors in calculations, sorting, and decision-making processes. It became known as the "Millennium Bug."

The implications of the Y2K issue were far-reaching because COBOL was heavily embedded in critical infrastructure. Banking systems, government records, and industrial control systems relied on COBOL programs with two-digit year formats. The potential for system failures or incorrect computations spurred a global effort to identify and fix affected code. This led to a resurgence in demand for COBOL programmers during the late 1990s as businesses and governments worked to rewrite date-handling logic and ensure Y2K compliance.

Despite predictions of widespread failure, the Y2K transition was largely successful, thanks to rigorous preparation. COBOL systems were patched and tested extensively, and the vast majority of systems continued operating without major disruptions. The effort highlighted both the durability and the challenges of maintaining legacy COBOL systems, many of which remain in use today.

CCOBOL's persistence in the modern era is a testament to its design and the critical role it has played in the evolution of computing. While other programming languages have risen to prominence, COBOL's reliability in handling large-scale business operations ensures that it still supports key systems in industries such as finance and government. The language's legacy is intertwined with the history of computing, serving as a foundation for decades of business and technological innovation.


AI Competition: ChatGPT-Gemini-Grok 3, GabAI - RF CafeThis content was generated by primarily with the assistance of ChatGPT (OpenAI), and/or Gemini (Google), and/or Arya (GabAI), and/or Grok (x.AI), and/or DeepSeek artificial intelligence (AI) engines. Review was performed to help detect and correct any inaccuracies; however, you are encouraged to verify the information yourself if it will be used for critical applications. In all cases, multiple solicitations to the AI engine(s) was(were) used to assimilate final content. Images and external hyperlinks have also been added occasionally - especially on extensive treatises. Courts have ruled that AI-generated content is not subject to copyright restrictions, but since I modify them, everything here is protected by RF Cafe copyright. Many of the images are likewise generated and modified. Your use of this data implies an agreement to hold totally harmless Kirt Blattenberger, RF Cafe, and any and all of its assigns. Thank you. Here is Gab AI in an iFrame.

AI Technical Trustability Update

While working on an update to my RF Cafe Espresso Engineering Workbook project to add a couple calculators about FM sidebands (available soon). The good news is that AI provided excellent VBA code to generate a set of Bessel function plots. The bad news is when I asked for a table showing at which modulation indices sidebands 0 (carrier) through 5 vanish, none of the agents got it right. Some were really bad. The AI agents typically explain their reason and method correctly, then go on to produces bad results. Even after pointing out errors, subsequent results are still wrong. I do a lot of AI work and see this often, even with subscribing to professional versions. I ultimately generated the table myself. There is going to be a lot of inaccurate information out there based on unverified AI queries, so beware.

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