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Software design

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Software design is the process of conceptualizing how a software system will work before it is implemented or modified. [1] Software design also refers to the direct result of the design process – the concepts of how the software will work which consists of both design documentation and undocumented concepts.

Software design usually is directed by goals for the resulting system and involves problem-solving and planning – including both high-level software architecture and low-level component and algorithm design.

In terms of the waterfall development process, software design is the activity of following requirements specification and before coding.[2]

General process

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The design process enables a designer to model various aspects of a software system before it exists.

Creativity, past experience, a sense of what makes "good" software, and a commitment to quality are success factors for a competent design. However, the design process is not always a straightforward procedure.

The software design model can be compared to an architected plan for a house. High-level plans represent the totality of the house (e.g., a three-dimensional rendering of the house). Lower-level plans provide guidance for constructing each detail (e.g., the plumbing lay). Similarly, the software design model provides a variety of views of the proposed software solution.

Value

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Software design documentation may be reviewed or presented to allow constraints, specifications and even requirements to be adjusted prior to coding. Redesign may occur after a review of a programmed simulation or prototype. It is possible to design software in the process of coding, without a plan or requirement analysis,[3] but for more complex projects this is less feasible. A separate design prior to coding allows for multidisciplinary designers and subject-matter experts (SMEs) to collaborate with programmers in order to produce software that is useful and technically sound.

Requirements analysis

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One component of software design is software requirements analysis (SRA). SRA is a part of the software development process that lists specifications used in software engineering.

The output of the analysis is smaller problems to solve. In contrast, the design focuses on capabilities, and thus multiple designs for the same problem can exist. Depending on the environment, the design often varies, whether it is created from reliable frameworks or implemented with suitable design patterns.

Artifacts

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A design process may include the production of artifacts such as flow chart, use case, Pseudocode, Unified Modeling Language model and other Fundamental modeling concepts. For user centered software, design may involve user experience design yielding a storyboard to help determine those specifications.

Sometimes the output of a design process is design documentation.

Design principles

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Basic design principles enable a software engineer to navigate the design process. Davis[4] suggests a set of principles for software design, which have been adapted and extended in the following list:

  • The design process should not suffer from "tunnel vision". A good designer should consider alternative approaches, judging each based on the requirements of the problem, the resources available to do the job.
  • The design should be traceable to the analysis model. Because a single element of the design model can often be traced back to multiple requirements, it is necessary to have a means for tracking how requirements have been satisfied by the design model.
  • The design should not reinvent the wheel. Systems are constructed using a set of design patterns, many of which have likely been encountered before. These patterns should always be chosen as an alternative to reinvention. Time is short and resources are limited; design time should be invested in representing (truly new) ideas by integrating patterns that already exist (when applicable).
  • The design should "minimize the intellectual distance" between the software and the problem as it exists in the real world. That is, the structure of the software design should, whenever possible, mimic the structure of the problem domain.
  • The design should exhibit uniformity and integration. A design is uniform if it appears fully coherent. In order to achieve this outcome, rules of style and format should be defined for a design team before design work begins. A design is integrated if care is taken in defining interfaces between design components.
  • The design should be structured to accommodate change. The design concepts discussed in the next section enable a design to achieve this principle.
  • The design should be structured to degrade gently, even when aberrant data, events, or operating conditions are encountered. Well-designed software should never "bomb"; it should be designed to accommodate unusual circumstances, and if it must terminate processing, it should do so in a graceful manner.
  • Design is not coding, coding is not design. Even when detailed procedural designs are created for program components, the level of abstraction of the design model is higher than the source code. The only design decisions made at the coding level should address the small implementation details that enable the procedural design to be coded.
  • The design should be assessed for quality as it is being created, not after the fact. A variety of design concepts and design measures are available to assist the designer in assessing quality throughout the development process.
  • The design should be reviewed to minimize conceptual (semantic) errors. There is sometimes a tendency to focus on minutiae when the design is reviewed, missing the forest for the trees. A design team should ensure that major conceptual elements of the design (omissions, ambiguity, inconsistency) have been addressed before worrying about the syntax of the design model.

Design concepts

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Design concepts provide a designer with a foundation from which more sophisticated methods can be applied. A set of design concepts has evolved including:

  • Abstraction - Abstraction is the process or result of generalization by reducing the information content of a concept or an observable phenomenon, typically to retain only information that is relevant for a particular purpose. It is an act of Representing essential features without including the background details or explanations.
  • Refinement - It is the process of elaboration. A hierarchy is developed by decomposing a macroscopic statement of function in a step-wise fashion until programming language statements are reached. In each step, one or several instructions of a given program are decomposed into more detailed instructions. Abstraction and Refinement are complementary concepts.
  • Modularity - Software architecture is divided into components called modules.
  • Software Architecture - It refers to the overall structure of the software and the ways in which that structure provides conceptual integrity for a system. Good software architecture will yield a good return on investment with respect to the desired outcome of the project, e.g. in terms of performance, quality, schedule and cost.
  • Control Hierarchy - A program structure that represents the organization of a program component and implies a hierarchy of control.
  • Structural Partitioning - The program structure can be divided horizontally and vertically. Horizontal partitions define separate branches of modular hierarchy for each major program function. Vertical partitioning suggests that control and work should be distributed top-down in the program structure.
  • Data Structure - It is a representation of the logical relationship among individual elements of data.
  • Software Procedure - It focuses on the processing of each module individually.
  • Information Hiding - Modules should be specified and designed so that information contained within a module is inaccessible to other modules that have no need for such information.

In his object model, Grady Booch mentions Abstraction, Encapsulation, Modularisation, and Hierarchy as fundamental software design principles.[5] The acronym PHAME (Principles of Hierarchy, Abstraction, Modularisation, and Encapsulation) is sometimes used to refer to these four fundamental principles.[6]

Design considerations

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There are many aspects to consider in the design of a piece of software. The importance of each consideration should reflect the goals and expectations that the software is being created to meet. Some of these aspects are:

  • Compatibility - The software is able to operate with other products that are designed for interoperability with another product. For example, a piece of software may be backward-compatible with an older version of itself.
  • Extensibility - New capabilities can be added to the software without major changes to the underlying architecture.
  • Modularity - the resulting software comprises well defined, independent components which leads to better maintainability. The components could be then implemented and tested in isolation before being integrated to form a desired software system. This allows division of work in a software development project.
  • Fault-tolerance - The software is resistant to and able to recover from component failure.
  • Maintainability - A measure of how easily bug fixes or functional modifications can be accomplished. High maintainability can be the product of modularity and extensibility.
  • Reliability (Software durability) - The software is able to perform a required function under stated conditions for a specified period of time.
  • Reusability - The ability to use some or all of the aspects of the preexisting software in other projects with little to no modification.
  • Robustness - The software is able to operate under stress or tolerate unpredictable or invalid input. For example, it can be designed with resilience to low memory conditions.
  • Security - The software is able to withstand and resist hostile acts and influences.
  • Usability - The software user interface must be usable for its target user/audience. Default values for the parameters must be chosen so that they are a good choice for the majority of the users.[7]
  • Performance - The software performs its tasks within a time-frame that is acceptable for the user, and does not require too much memory.
  • Portability - The software should be usable across a number of different conditions and environments.
  • Scalability - The software adapts well to increasing data or added features or number of users. According to Marc Brooker: "a system is scalable in the range where marginal cost of additional workload is nearly constant." Serverless technologies fit this definition but you need to consider total cost of ownership not just the infra cost. [8]

Modeling language

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A modeling language can be used to express information, knowledge or systems in a structure that is defined by a consistent set of rules. These rules are used for interpretation of the components within the structure. A modeling language can be graphical or textual. Examples of graphical modeling languages for software design include:

Design patterns

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A software designer may identify a design aspect which has been visited and perhaps even solved by others in the past. A template or pattern describing a solution to a common problem is known as a design pattern. The reuse of such patterns can increase software development velocity.[10]

Code as design

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The difficulty of using the term "design" in relation to software is that in some senses, the source code of a program is the design for the program that it produces. To the extent that this is true, "software design" refers to the design of the design. Edsger W. Dijkstra referred to this layering of semantic levels as the "radical novelty" of computer programming,[11] and Donald Knuth used his experience writing TeX to describe the futility of attempting to design a program prior to implementing it:

TEX would have been a complete failure if I had merely specified it and not participated fully in its initial implementation. The process of implementation constantly led me to unanticipated questions and to new insights about how the original specifications could be improved.[12]

See also

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Wikimedia Commons has media related to Software design.

References

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  1. ^ Ralph, P. and Wand, Y. (2009). A proposal for a formal definition of the design concept. In Lyytinen, K., Loucopoulos, P., Mylopoulos, J., and Robinson, W., editors, Design Requirements Workshop (LNBIP 14), pp. 103–136. Springer-Verlag, p. 109 doi:10.1007/978-3-540-92966-6_6.
  2. ^ Freeman, Peter; David Hart (2004). "A Science of design for software-intensive systems". Communications of the ACM. 47 (8): 19–21 [20]. doi:10.1145/1012037.1012054. S2CID 14331332.
  3. ^ Ralph, P., and Wand, Y. A Proposal for a Formal Definition of the Design Concept. In, Lyytinen, K., Loucopoulos, P., Mylopoulos, J., and Robinson, W., (eds.), Design Requirements Engineering: A Ten-Year Perspective: Springer-Verlag, 2009, pp. 103-136
  4. ^ Davis, A:"201 Principles of Software Development", McGraw Hill, 1995.
  5. ^ Booch, Grady; et al. (2004). Object-Oriented Analysis and Design with Applications (3rd ed.). MA, US: Addison Wesley. ISBN 0-201-89551-X. Retrieved 30 January 2015.
  6. ^ Suryanarayana, Girish (November 2014). Refactoring for Software Design Smells. Morgan Kaufmann. p. 258. ISBN 978-0128013977.
  7. ^ Carroll, John, ed. (1995). Scenario-Based Design: Envisioning Work and Technology in System Development. New York: John Wiley & Sons. ISBN 0471076597.
  8. ^ Building Serverless Applications on Knative. O'Reilly Media. ISBN 9781098142049.
  9. ^ Bell, Michael (2008). "Introduction to Service-Oriented Modeling". Service-Oriented Modeling: Service Analysis, Design, and Architecture. Wiley & Sons. ISBN 978-0-470-14111-3.
  10. ^ Judith Bishop. "C# 3.0 Design Patterns: Use the Power of C# 3.0 to Solve Real-World Problems". C# Books from O'Reilly Media. Retrieved 2012-05-15. If you want to speed up the development of your .NET applications, you're ready for C# design patterns -- elegant, accepted and proven ways to tackle common programming problems.
  11. ^ Dijkstra, E. W. (1988). "On the cruelty of really teaching computing science". Retrieved 2014-01-10.
  12. ^ Knuth, Donald E. (1989). "Notes on the Errors of TeX" (PDF).

^Roger S. Pressman (2001). Software engineering: a practitioner's approach. McGraw-Hill. ISBN 0-07-365578-3.

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