Software crisis

Last updated

Software crisis is a term used in the early days of computing science for the difficulty of writing useful and efficient computer programs in the required time. The software crisis was due to the rapid increases in computer power and the complexity of the problems that could be tackled. With the increase in the complexity of the software, many software problems arose because existing methods were inadequate.

Contents

History

The term "software crisis" was coined by some attendees at the first NATO Software Engineering Conference in 1968 at Garmisch, Germany. [1] [2] Edsger Dijkstra's 1972 Turing Award Lecture makes reference to this same problem: [3]

The major cause of the software crisis is that the machines have become several orders of magnitude more powerful! To put it quite bluntly: as long as there were no machines, programming was no problem at all; when we had a few weak computers, programming became a mild problem, and now we have gigantic computers, programming has become an equally gigantic problem.

Causes

The causes of the software crisis were linked to the overall complexity of hardware and the software development process. The crisis manifested itself in several ways:

The main cause is that improvements in computing power had outpaced the ability of programmers to effectively use those capabilities. Various processes and methodologies have been developed over the last few decades to improve software quality management such as procedural programming and object-oriented programming. However, software projects that are large, complicated, poorly specified, or involve unfamiliar aspects, are still vulnerable to large, unanticipated problems.

See also

Related Research Articles

<span class="mw-page-title-main">Computing</span> Activity involving calculations or computing machinery

Computing is any goal-oriented activity requiring, benefiting from, or creating computing machinery. It includes the study and experimentation of algorithmic processes, and the development of both hardware and software. Computing has scientific, engineering, mathematical, technological, and social aspects. Major computing disciplines include computer engineering, computer science, cybersecurity, data science, information systems, information technology, and software engineering.

Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages. Programmers typically use high-level programming languages that are more easily intelligible to humans than machine code, which is directly executed by the central processing unit. Proficient programming usually requires expertise in several different subjects, including knowledge of the application domain, details of programming languages and generic code libraries, specialized algorithms, and formal logic.

<span class="mw-page-title-main">Edsger W. Dijkstra</span> Dutch computer scientist (1930–2002)

Edsger Wybe Dijkstra was a Dutch computer scientist, programmer, software engineer, mathematician, and science essayist.

Software engineering is an engineering approach to software development. A practitioner, called a software engineer, applies the engineering design process to develop software.

Structured programming is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by making extensive use of the structured control flow constructs of selection (if/then/else) and repetition, block structures, and subroutines.

A software bug is a bug in computer software.

<span class="mw-page-title-main">Ole-Johan Dahl</span> Norwegian computer scientist

Ole-Johan Dahl was a Norwegian computer scientist. Dahl was a professor of computer science at the University of Oslo and is considered to be one of the fathers of Simula and object-oriented programming along with Kristen Nygaard.

<span class="mw-page-title-main">Douglas McIlroy</span> American mathematician and computer scientist

Malcolm Douglas McIlroy is an American mathematician, engineer, and programmer. As of 2019 he is an Adjunct Professor of Computer Science at Dartmouth College. McIlroy is best known for having originally proposed Unix pipelines and developed several Unix tools, such as spell, diff, sort, join, graph, speak, and tr. He was also one of the pioneering researchers of macro processors and programming language extensibility. He participated in the design of multiple influential programming languages, particularly PL/I, SNOBOL, ALTRAN, TMG and C++.

In computer science, a concern is a particular set of information that has an effect on the code of a computer program. A concern can be as general as the details of database interaction or as specific as performing a primitive calculation, depending on the level of conversation between developers and the program being discussed. IBM uses the term concern space to describe the sectioning of conceptual information.

In theoretical computer science, an algorithm is correct with respect to a specification if it behaves as specified. Best explored is functional correctness, which refers to the input-output behavior of the algorithm: for each input it produces an output satisfying the specification.

The following outline is provided as an overview of and topical guide to software engineering:

A programming tool or software development tool is a computer program that software developers use to create, debug, maintain, or otherwise support other programs and applications. The term usually refers to relatively simple programs, that can be combined to accomplish a task, much as one might use multiple hands to fix a physical object. The most basic tools are a source code editor and a compiler or interpreter, which are used ubiquitously and continuously. Other tools are used more or less depending on the language, development methodology, and individual engineer, often used for a discrete task, like a debugger or profiler. Tools may be discrete programs, executed separately – often from the command line – or may be parts of a single large program, called an integrated development environment (IDE). In many cases, particularly for simpler use, simple ad hoc techniques are used instead of a tool, such as print debugging instead of using a debugger, manual timing instead of a profiler, or tracking bugs in a text file or spreadsheet instead of a bug tracking system.

"On the Cruelty of Really Teaching Computing Science" is a 1988 scholarly article by E. W. Dijkstra which argues that computer programming should be understood as a branch of mathematics, and that the formal provability of a program is a major criterion for correctness.

<span class="mw-page-title-main">History of software engineering</span>

The history of software engineering begins around the 1960s. Writing software has evolved into a profession concerned with how best to maximize the quality of software and of how to create it. Quality can refer to how maintainable software is, to its stability, speed, usability, testability, readability, size, cost, security, and number of flaws or "bugs", as well as to less measurable qualities like elegance, conciseness, and customer satisfaction, among many other attributes. How best to create high quality software is a separate and controversial problem covering software design principles, so-called "best practices" for writing code, as well as broader management issues such as optimal team size, process, how best to deliver software on time and as quickly as possible, work-place "culture", hiring practices, and so forth. All this falls under the broad rubric of software engineering.

Arie Nicolaas Habermann, often known as Nico Habermann, was a noted Dutch computer scientist.

<span class="mw-page-title-main">Alexander G. Fraser</span> British-American computer scientist (1937–2022)

Alexander G. Fraser, also known as A. G. Fraser and Sandy Fraser, was a noted British-American computer scientist and the former Chief Scientist of AT&T.

Larry Joseph Stockmeyer was an American computer scientist. He was one of the pioneers in the field of computational complexity theory, and he also worked in the field of distributed computing. He died of pancreatic cancer.

<span class="mw-page-title-main">Goto</span> One-way control statement in computer programming

Goto is a statement found in many computer programming languages. It performs a one-way transfer of control to another line of code; in contrast a function call normally returns control. The jumped-to locations are usually identified using labels, though some languages use line numbers. At the machine code level, a goto is a form of branch or jump statement, in some cases combined with a stack adjustment. Many languages support the goto statement, and many do not.

IFIP Working Group 2.3 on Programming Methodology is a working group of the International Federation for Information Processing (IFIP). Its main aim is to increase programmers’ ability to compose programs. To this end, WG2.3 provides an international forum for discussion and cross-fertilization of ideas between researchers in programming methodology and neighboring fields. Generally, members report on work in progress and expect suggestions and advice. Discussions are often broadened by inviting "observers" to meetings as full participants, some of whom eventually become members.

References

  1. "NATO Software Engineering Conference 1968" . Retrieved 26 April 2017.
  2. "Report on a conference sponsored by the NATO SCIENCE COMMITTEE Garmisch, Germany, 7th to 11th October 1968" (PDF). Retrieved 26 April 2017.
  3. "E.W.Dijkstra Archive: The Humble Programmer (EWD 340)" . Retrieved 26 April 2017.