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none (unique language) 1954 IPL I (concept) Allen Newell, Cliff Shaw, Herbert A. Simon: none (unique language) 1955 Address programming language: Kateryna Yushchenko: Operator programming – Alexey Andreevich Lyapunov & Kateryna Yushchenko & MESM: 1955 FLOW-MATIC: Team led by Grace Hopper at UNIVAC A-0 1955 BACAIC M. Grems and R. Porter 1955 ...
The Computer History in time and space, Graphing Project, an attempt to build a graphical image of computer history, in particular operating systems. The Computer Revolution/Timeline at Wikibooks "File:Timeline.pdf - Engineering and Technology History Wiki" (PDF). ethw.org. 2012. Archived (PDF) from the original on 2017-10-31
Computer programming – process that leads from an original formulation of a computing problem to executable computer programs. Programming involves activities such as analysis, developing understanding, generating algorithms, verification of requirements of algorithms including their correctness and resources consumption, and implementation ...
Computer science (also called computing science) is the study of the theoretical foundations of information and computation and their implementation and application in computer systems. One well known subject classification system for computer science is the ACM Computing Classification System devised by the Association for Computing Machinery.
The Science of Computing: Shaping a Discipline. Taylor and Francis / CRC Press. ISBN 978-1-4822-1769-8. Kak, Subhash : Computing Science in Ancient India; Munshiram Manoharlal Publishers Pvt. Ltd (2001) The Development of Computer Science: A Sociocultural Perspective Matti Tedre's Ph.D. Thesis, University of Joensuu (2006) Ceruzzi, Paul E. (1998).
In software engineering, a software development process or software development life cycle (SDLC) is a process of planning and managing software development.It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management.
Module systems were often wedded to generic programming constructs: generics being, in essence, parametrized modules [citation needed] (see also Polymorphism (computer science)). Although major new paradigms for imperative programming languages did not appear, many researchers expanded on the ideas of prior languages and adapted them to new ...
A team led by John Backus develops the FORTRAN compiler and programming language at IBM's research centre in San Jose, California. This sped the adoption of scientific programming, [47] [48] [49] and is one of the oldest extant programming languages, as well as one of the most popular in science and engineering.