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COBOL (Common Business-Oriented Language; /ˈkoʊbɒl, -bɔːl/) is a compiled English-like computer programming language designed for business use. It is an imperative, procedural, and, since 2002, object-oriented language. COBOL is primarily used in business, finance, and administrative systems for companies and governments. COBOL is still widely used in…
The analysis highlights History, Legacy, Standards and Companies as prominent areas in the source structure around COBOL.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around COBOL shows recurring relationship patterns in the source. For example, COBOL → Agriculture, As, Department, DHS, Gartner Group, Government Reform, Health, HHS, Homeland Security, Human Services, In, Internal Revenue Service, IRS, Justice, NonStop OS, OpenVMS, OS, Oversight, Testimony, Treasury Another extracted example is COBOL → Brophy, COBOL-74, COBOL-80, Data Processing Management Association, DPMA, During, Fewer, In January, In June, Joseph, Later, Mr, Other, Senior Vice-president, The, Travelers Insurance. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
data committee language programming used code standard languages statements programs features procedure one new program would example use systems control
TTTA extracted 212 structured relationships around COBOL. Examples in this analysis include COBOL → Designed by → Howard Bromberg, Norman Discount, Vernon Reeves, Jean E. Sammet, William Selden, Gertrude Tierney, with indirect influence from Grace Hopper and COBOL → Developers → CODASYL, ANSI, ISO/IEC. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| COBOL | Designed by | Howard Bromberg, Norman Discount, Vernon Reeves, Jean E. Sammet, William Selden, Gertrude Tierney, with indirect influence from Grace Hopper | 1.00 | infobox |
| COBOL | Developers | CODASYL, ANSI, ISO/IEC | 1.00 | infobox |
| COBOL | Filename extensions | .cbl, .cob, .cpy | 1.00 | infobox |
| COBOL | First appeared | 1960; 66 years ago (1960) | 1.00 | infobox |
| COBOL | Paradigm | Procedural, imperative, object-oriented, generic | 1.00 | infobox |
| COBOL | Stable release | ISO/IEC 1989:2023 / 2023 | 1.00 | infobox |
| COBOL | Typing discipline | Weak, static | 1.00 | infobox |
| COBOL | is a | industry language and is not the property of any company or group of companies | 0.90 | text |
| COBOL | is a | difficult language to write a compiler for | 0.90 | text |
| new inter-program communication | instance of | including changes | 0.80 | text |
| debugging | instance of | including changes | 0.80 | text |
| and file merging facilities | instance of | including changes | 0.80 | text |
The concept neighborhoods around COBOL bring nearby vocabulary together. In this analysis, examples include Programming, Language and Code. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For COBOL, one of the stronger structural bridges in this analysis connects COBOL with History and specification. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around COBOL to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Legacy, Standards & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — COBOL · EN edition · Analysis: TopicsToTalkAbout