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The evolution of software engineering is notable in a number of areas: Emergence as a profession: By the early 1980s software engineering had already emerged as a bona fide profession, [2] to stand beside computer science and traditional engineering. [citation needed]
In software engineering, the laws of software evolution refer to a series of laws that Lehman and Belady formulated starting in 1974 with respect to software evolution. [1] [2] The laws describe a balance between forces driving new developments on one hand, and forces that slow down progress on the other hand. Over the past decades the laws ...
Software evolution is not likely to be Darwinian, Lamarckian or Baldwinian, but an important phenomenon on its own. Given the increasing dependence on software at all levels of society and economy, the successful evolution of software is becoming increasingly critical. This is an important topic of research that hasn't received much attention.
Software engineering is a field within computer science focused on designing, developing, testing, and maintaining of software applications. It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs.
[1] [2] The trend towards agile methods in software engineering is noticeable, [3] however the need for improved studies on the subject is also paramount. [4] [5] Also note that some of the methods listed might be newer or older or still in use or out-dated, and the research on software design methods is not new and on-going. [6] [7] [8] [9]
The first modern theory of software was proposed by Alan Turing in his 1935 essay Computable numbers with an application to the Entscheidungsproblem (decision problem). [4] This eventually led to the creation of the twin academic fields of computer science and software engineering, which both study software and its creation. Computer science is ...
The Software Engineering Body of Knowledge (SWEBOK (/ ˈ s w iː ˌ b ɒ k / SWEE-bok)) refers to the collective knowledge, skills, techniques, methodologies, best practices, and experiences accumulated within the field of software engineering over time.
There is considerable overlap between requirements engineering and software architecture, as evidenced for example by a study into five industrial software architecture methods that concludes that "the inputs (goals, constraints, etc.) are usually ill-defined, and only get discovered or better understood as the architecture starts to emerge ...