Software development

Source: Wikipedia, the free encyclopedia.

Software development is the process of

designing and implementing a software solution to satisfy a user. The process is more encompassing than programming, writing code, in that it includes conceiving the goal, evaluating feasibility, analyzing requirements, design, testing and release. The process is part of software engineering which also includes organizational management, project management, configuration management and other aspects.[1]

Software development involves many skills and job specializations including

.

Software development involves many

.

The details of the process used for a development effort varies. The process may be confined to a formal, documented

standard, or it can be customized and emergent
for the development effort. The process may be sequential, in which each major phase (i.e. design, implement and test) is completed before the next begins, but an iterative approach – where small aspects are separately designed, implemented and tested – can reduce risk and cost and increase quality.

Methodologies

iterative development model[2]

Each of the available methodologies are best suited to specific kinds of projects, based on various technical, organizational, project, and team considerations.[3]

  • The simplest methodology is the "code and fix", typically used by a single programmer working on a small project. After briefly considering the purpose of the program, the programmer codes it and runs it to see if it works. When they are done, the product is released. This methodology is useful for prototypes but cannot be used for more elaborate programs.[4]
  • In the top-down waterfall model, feasibility, analysis, design, development, quality assurance, and implementation occur sequentially in that order. This model requires one step to be complete before the next begins, causing delays, and makes it impossible to revise previous steps if necessary.[5][6][7]
  • With
    iterative processes these steps are interleaved with each other for improved flexibility, efficiency, and more realistic scheduling. Instead of completing the project all at once, one might go through most of the steps with one component at a time. Iterative development also lets developers prioritize the most important features, enabling lower priority ones to be dropped later on if necessary.[6][8] Agile is one popular method, originally intended for small or medium sized projects, that focuses on giving developers more control over the features that they work on to reduce the risk of time or cost overruns.[9] Derivatives of agile include extreme programming and Scrum.[9] Open-source software development typically uses agile methodology with concurrent design, coding, and testing, due to reliance on a distributed network of volunteer contributors.[10]
  • Beyond agile, some companies integrate
    DevSecOps including computer security.[11] DevOps includes continuous development, testing, integration of new code in the version control system, deployment of the new code, and sometimes delivery of the code to clients.[12] The purpose of this integration is to deliver IT services more quickly and efficiently.[11]

Another focus in many programming methodologies is the idea of trying to catch issues such as

bugs as early as possible (shift-left testing) to reduce the cost of tracking and fixing them.[13]

In 2009, it was estimated that 32 percent of software projects were delivered on time and budget, and with the full functionality. An additional 44 percent were delivered, but missing at least one of these features. The remaining 24 percent were cancelled prior to release.[14]

Steps

Software development life cycle refers to the systematic process of developing applications.[15]

Feasibility

The sources of ideas for software products are plentiful. These ideas can come from

demographics of potential new customers, existing customers, sales prospects who rejected the product, other internal software development staff, or a creative third party. Ideas for software products are usually first evaluated by marketing personnel for economic feasibility, fit with existing channels of distribution, possible effects on existing product lines, required features, and fit with the company's marketing objectives. In the marketing evaluation phase, the cost and time assumptions become evaluated.[16] The feasibility analysis estimates the project's return on investment, its development cost and timeframe. Based on this analysis, the company can make a business decision to invest in further development.[17] After deciding to develop the software, the company is focused on delivering the product at or below the estimated cost and time, and with a high standard of quality (i.e., lack of bugs) and the desired functionality. Nevertheless, most software projects run late and sometimes compromises are made in features or quality to meet a deadline.[18]

Analysis

Software analysis begins with a

During the analysis and design phases of software development,

legacy software that has not been modeled, this software may be modeled to help ensure it is correctly incorporated with the newer software.[24]

Design

Design involves choices about the implementation of the software, such as which

patterns in the software's functionality to spin off distinct modules that can be reused with object-oriented programming. An example of this is the model–view–controller, an interface between a graphical user interface and the backend.[25]

Programming

The central feature of software development is creating and understanding the software that implements the desired functionality.[26] There are various strategies for writing the code. Cohesive software has various components that are independent from each other.[19] Coupling is the interrelation of different software components, which is viewed as undesirable because it increases the difficulty of maintenance.[27] Often, software programmers do not follow industry best practices, resulting in code that is inefficient, difficult to understand, or lacking documentation on its functionality.[28] These standards are especially likely to break down in the presence of deadlines.[29] As a result, testing, debugging, and revising the code becomes much more difficult. Code refactoring, for example adding more comments to the code, is a solution to improve the understandability of code.[30]

Testing

Testing is the process of ensuring that the code executes correctly and without errors.

Acceptance tests derived from the original software requirements are a popular tool for this.[31] Quality testing also often includes stress and load checking (whether the software is robust to heavy levels of input or usage), integration testing (to ensure that the software is adequately integrated with other software), and compatibility testing (measuring the software's performance across different operating systems or browsers).[31] When tests are written before the code, this is called test-driven development.[33]

Production

Production is the phase in which software is deployed to the end user.[34] During production, the developer may create technical support resources for users[35][34] or a process for fixing bugs and errors that were not caught earlier. There might also be a return to earlier development phases if user needs changed or were misunderstood.[34]

Workers

Software development is performed by software developers, usually working on a team. Efficient communications between team members is essential to success. This is more easily achieved if the team is small, used to working together, and located near each other.[36] Communications also help identify problems at an earlier state of development and avoid duplicated effort. Many development projects avoid the risk of losing essential knowledge held by only one employee by ensuring that multiple workers are familiar with each component.[37] Software development involves professionals from various fields, not just software programmers but also individuals specialized in testing, documentation writing, graphic design, user support, marketing, and fundraising. Although workers for proprietary software are paid, most contributors to open-source software are volunteers.[38] Alternately, they may be paid by companies whose business model does not involve selling the software, but something else—such as services and modifications to open source software.[39]

Models and tools

Computer-aided software engineering

reverse engineer it (for example, to change the programming language).[41]

Documentation

Documentation comes in two forms that are usually kept separate—that intended for software developers, and that made available to the end user to help them use the software.

application programming interface (API)—how the piece of software can be accessed by another—and often implementation details.[44] This documentation is helpful for new developers to understand the project when they begin working on it.[45] In agile development, the documentation is often written at the same time as the code.[46] User documentation is more frequently written by technical writers.[47]

Effort estimation

Accurate estimation is crucial at the feasibility stage and in delivering the product on time and within budget. The process of generating estimations is often delegated by the

mobile applications.[50]

Integrated development environment

Anjuta, a C and C++ IDE for the GNOME environment

An

compiling, syntax highlighting of errors,[52] debugging assistance,[53] integration with version control, and semi-automation of tests.[51]

Version control

Version control is a popular way of managing changes made to the software. Whenever a new version is checked in, the software saves a backup of all modified files. If multiple programmers are working on the software simultaneously, it manages the merging of their code changes. The software highlights cases where there is a conflict between two sets of changes and allows programmers to fix the conflict.[54]

View model

TEAF
Matrix of Views and Perspectives

A view model is a framework that provides the viewpoints on the system and its environment, to be used in the software development process. It is a graphical representation of the underlying semantics of a view.

The purpose of viewpoints and views is to enable human engineers to comprehend very

expertise. In the engineering of physically intensive systems, viewpoints often correspond to capabilities and responsibilities within the engineering organization.[55]

Fitness functions

Fitness functions are automated and objective tests to ensure that the new developments don't deviate from the established constraints, checks and compliance controls.[56]

Intellectual property

open-source licenses used for software require that modifications be released under the same license. As an alternative, developers may choose a proprietary alternative or write their own software module.[57]

References

  1. ^ Dooley 2017, p. 1.
  2. ^ Dooley 2017, p. 12.
  3. ^ System Development Methodologies for Web-Enabled E-Business: A Customization Framework Linda V. Knight (DePaul University, USA), Theresa A. Steinbach (DePaul University, USA) and Vince Kellen (Blue Wolf, USA)
  4. ^ Dooley 2017, pp. 8–9.
  5. ^ Dooley 2017, p. 9.
  6. ^ a b Langer 2016, pp. 2–3, 5–6.
  7. ^ Tucker, Morelli & de Silva 2011, p. 8.
  8. ^ Dooley 2017, p. 11.
  9. ^ a b Dooley 2017, p. 13.
  10. ^ Tucker, Morelli & de Silva 2011, pp. 41–42.
  11. ^ a b Vishnu 2019, pp. 1–2.
  12. .
  13. ^ Winters, Manshreck & Wright 2020, p. 17.
  14. ^ Tucker, Morelli & de Silva 2011, p. 6.
  15. ^ Saif 2019, pp. 46–47.
  16. ^ Morris 2001, p. 1.10.
  17. ^ Langer 2016, p. 7.
  18. ^ Dooley 2017, pp. 3, 8.
  19. ^ a b c d Langer 2016, p. 8.
  20. ^ Langer 2016, pp. 2–3.
  21. ^ Dooley 2017, pp. 193–194.
  22. ^ Langer 2016, pp. 103–104.
  23. ^ Langer 2016, pp. 117, 127, 131, 137, 141.
  24. ^ Langer 2016, p. 106.
  25. ^ Dooley 2017, p. 142.
  26. ^ Tucker, Morelli & de Silva 2011, p. 31.
  27. ^ Langer 2016, pp. 8–9.
  28. ^ Tucker, Morelli & de Silva 2011, pp. 31–32.
  29. ^ Tucker, Morelli & de Silva 2011, pp. 34–35.
  30. ^ Tucker, Morelli & de Silva 2011, pp. 31–32, 35.
  31. ^ a b c Langer 2016, p. 9.
  32. ^ Dooley 2017, p. 272.
  33. ^ Tucker, Morelli & de Silva 2011, p. 9.
  34. ^ a b c Langer 2016, p. 10.
  35. ^ Tucker, Morelli & de Silva 2011, p. 37.
  36. ^ Dooley 2017, p. 2.
  37. ^ Winters, Manshreck & Wright 2020, pp. 30–31.
  38. ^ Tucker, Morelli & de Silva 2011, p. 7.
  39. ^ Tucker, Morelli & de Silva 2011, pp. 14–15.
  40. ^ Langer 2016, p. 22.
  41. ^ Langer 2016, pp. 108–110, 206.
  42. ^ Tucker, Morelli & de Silva 2011, p. 243.
  43. ^ Winters, Manshreck & Wright 2020, p. 192.
  44. ^ Winters, Manshreck & Wright 2020, pp. 193–195.
  45. ^ Tucker, Morelli & de Silva 2011, p. 143.
  46. ^ Tucker, Morelli & de Silva 2011, p. 144.
  47. ^ Winters, Manshreck & Wright 2020, p. 204.
  48. ^ Saif 2019, pp. 50–51.
  49. ^ Saif 2019, pp. 52–53.
  50. ^ Saif 2019, p. 45.
  51. ^ a b Tucker, Morelli & de Silva 2011, p. 68.
  52. ^ Dooley 2017, p. 236.
  53. ^ Dooley 2017, p. 239.
  54. ^ Dooley 2017, pp. 246–247.
  55. ^ Edward J. Barkmeyer ea (2003). Concepts for Automating Systems Integration Archived 25 January 2017 at the Wayback Machine NIST 2003.
  56. .
  57. ^ Langer 2016, pp. 44–45.

Further reading