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Iterative and Incremental development is a cyclic software development process developed in response to the weaknesses of the waterfall model. It is an essential part of the Rational Unified Process, the Dynamic Systems Development Method, Extreme Programming and generally the agile software development frameworks.
"Incremental" and "Iterative"Incremental development is a scheduling and staging strategy in which the various parts of the system are developed at different times or rates, and integrated as they are completed. It does not imply, require nor preclude iterative development or waterfall development - both of those are rework strategies. The alternative to incremental development is to develop the entire system with a "big bang" integration. Iterative development is a rework scheduling strategy in which time is set aside to revise and improve parts of the system. It does not presuppose incremental development, but works very well with it. A typical difference is that the output from an increment is not necessarily subject to further refinement, and its testing or user feedback is not used as input for revising the plans or specifications of the successive increments. On the contrary, the output from an iteration is examined for modification, and especially for revising the targets of the successive iterations. The two terms were merged in practical use in the mid-1990s. The authors of the Unified Process (UP) and the Rational Unified Process (RUP) selected the term "iterative development", and "iterations" to generally mean any combination of incremental and iterative development. Most people saying "iterative" development mean that they do both incremental and iterative development. Some project teams get into trouble by doing only one and not the other without realizing it. Life-CycleThe basic idea behind iterative enhancement is to develop a software system incrementally, allowing the developer to take advantage of what was being learned during the development of earlier, incremental, deliverable versions of the system. Learning comes from both the development and use of the system, where possible. Key steps in the process were to start with a simple implementation of a subset of the software requirements and iteratively enhance the evolving sequence of versions until the full system is implemented. At each iteration, design modifications are made and new functional capabilities are added. The Procedure itself consists of the Initialization step, the Iteration step, and the Project Control List. The initialization step creates a base version of the system. The goal for this initial implementation is to create a product to which the user can react. It should offer a sampling of the key aspects of the problem and provide a solution that is simple enough to understand and implement easily. To guide the iteration process, a project control list is created that contains a record of all tasks that need to be performed. It includes such items as new features to be implemented and areas of redesign of the existing solution. The control list is constantly being revised as a result of the analysis phase. The iteration involves the redesign and implementation of a task from project control list, and the analysis of the current version of the system. The goal for the design and implementation of any iteration is to be simple, straightforward, and modular, supporting redesign at that stage or as a task added to the project control list. The level of design detail is not dictated by the interactive approach. In a light-weight iterative project the code may represent the major source of documentation of the system; however, in a mission-critical iterative project a formal Software Design Document may be used. The analysis of an iteration is based upon user feedback, and the program analysis facilities available. It involves analysis of the structure, modularity, usability, reliability, efficiency, & achievement of goals. The project control list is modified in light of the analysis results. Guidelines that drive the implementation and analysis include:
Waterfall development completes the project-wide work-products of each discipline in a single step before moving on to the next discipline in the next step. Business value is delivered all at once, and only at the very end of the project. Iterative development slices the deliverable business value (system functionality) into iterations. In each iteration a slice of functionality is delivered through cross-discipline work, starting from the model/requirements through to the testing/deployment. The unified process groups iterations into phases: inception, elaboration, construction, and transition. Inception identifies project scope, risks, and requirements (functional and non-functional) at a high level but in enough detail that work can be estimated. Elaboration delivers a working architecture that mitigates the top risks and fulfills the non-functional requirements. Construction incrementally fills-in the architecture with production-ready code produced from analysis, design, implementation, and testing of the functional requirements. Transition delivers the system into the production operating environment. Each of the phases may be divided into 1 or more iterations, which are usually time-boxed rather than feature-boxed. Architects and analysts work one iteration ahead of developers and testers to keep their work-product backlog full. Characteristics
Using analysis and measurement as drivers of the enhancement process is one major difference between iterative enhancement and the current agile software development. It provides support for determining the effectiveness of the processes and the quality of product. It allows one to study, and therefore improve and tailor, the processes for the particular environment. This measurement and analysis activity can be added to existing agile development methods. The relative changes measured over the evolution of the system can be very informative as they provide a basis for comparison, even if sometimes difficult to understand in the absolute. For example, a vector of measures, m1, m 2, ... mn, can be defined to characterize various aspects of the product at some point in time, e.g., effort to date, changes, defects, logical, physical, and dynamic attributes, environmental considerations. Thus an observer can tell how product characteristics like size, complexity, coupling, and cohesion are increasing or decreasing over time. One can monitor the relative change of the various aspects of the product or can provide bounds for the measures to signal potential problems and anomalies. Many utility software systems have been developed using this model, wherein the requirement is basically providing the customer with some working model at an early stage of the development cycle. As new features are added in, a new release is launched which has fewer bugs and more features than the previous release. Some of the typical examples of this kind of model are: Yahoo Messenger, Azureus, Cyber Sitter, Net Meter, PC Security, Limewire, P2P, etc etc. History
For the June 2003 IEEE Computer issue dedicated to agile methods (edited by A. Cockburn and L. Williams), Vic Basili and CraigLarman are writing a short 1-2 page history of iterative/incremental lifecycle processes. 1970: Royce, W.W., Managing the Development of Large-Scale Software: Concepts and Techniques Proceedings, Wescon, August 1970 (also reprinted in Proceedings, ICSE9), which includes a "build it twice" prototyping step -- entered by Barry Boehm 1971: Mills, H., Top-down programming in large systems Debugging Techniques in Large Systems, R. Rustin, ed., Englewood Cliffs, N.J., Prentice-Hall, 1971. (Frederick Brooks mentions this in NoSilverBullet: "Some years ago Harlan Mills proposed that any software system should be grown by incremental development.") - entered by Christian Ohman 1973: Mills, H., On the Development of Large, Reliable Programs IEEE Symp. Comp. SW Reliability. Notes: I have heard this paper has relevance to iterative, but haven't read it yet. - CraigLarman 1975: Williams, R.D., Managing the Development of Reliable Software Proceedings, 1975 International Conference on Reliable Software, ACM/IEEE, April 1975, pp.3-8.
1975: Brooks, F., The Mythical Man-Month
1975: Basili, V. and Turner, A., Iterative Enhancement: A Practical Technique for Software Development :IEEE Transactions on SW Eng. 1981: Boehm, B., Software Engineering Economics Prentice-Hall. ISBN 0-13-822122-7 (pages 41-2, 254) allows for an iterative process when developing software. 1983: Booch, G., Software Engineering with Ada Benjamin-Cummings. (Around page 43) describes an iterative process for growing an object-oriented system. 1984: Madden, W and Rone, K., Design, Development, Integration: Space Shuttle Primary Flight Software System, CACM 27 9, Sept 1984, 914-925.
1984: Rzevski, G., Prototypes Versus Pilot Systems: Strategies For Evolutionary Information Systems Development, Approaches to Prototyping, Editors Budde et al, Springer-Verlag 1985: Boehm, B., A Spiral Model Of Software Development And Enhancement, 2nd. International Software Process Workshop. Coto de Caza, Trabuco Canyon, USA 1985. Wileden, J. and Dowson, M. (Eds.)
1986: Barry Boehm, A Spiral Model of Software Development and Enhancement, ACM SIGSOFT Software Engineering Notes (SEN), August 1986 1985: Rzevski, G., Trends in Information Systems Design, Infotech State of the Art Review, Mature Systems Design, edited by L. Evans, Pergamon Press 1986: Currit, P. Allen, Dyer, Michael and Mills, Harlan D, Certifying the Reliability of Software IEEE TOSE, Vol. SE-12, No. 1, Jan86.
1988: Gilb, T Principles of Software Engineering Management AW.
1988: Brigader General H Edward USA (ret.), Evolutionary Acquisition of Command and Control Systems: Becoming a Reality Signal, January 1988
1988: Boehm, B, A Spiral Model Of Software Development And Enhancement IEEE Computer. May 1988. 1991: Booch, G, Object-oriented Analysis and Design with Applications Addison-Wesley
1992: Ph. Kruchten, Un Processus de Développement de Logiciel Itératif et Centré sur l'Architecture 4e Congrès de Génie Logiciel, Toulouse, France, Décembre 1991, EC2, Paris
1993: Alistair Cockburn, The Impact of Object-Orientation on Application Development (PDF) IBM Systems Journal, 32(3), March 1993, pp. 420-444, reprinted in the 50-year anniversary issue, IBM Systems Journal 38(2-3), 1999. http://www.research.ibm.com/journal/sj38-23.html,
1996: Ph. Kruchten, A Rational Development Process Crosstalk, 9 (7) July 1996, pp.11-16.
1996: Barry W. Boehm, 1996, Anchoring the Software Process IEEE Software, July 1996, pp.73-82.
1996: Booch, G, Object Solutions Addison-Wesley.
1998: Jennifer Stapleton, DSDM: Dynamic Systems Development Method Addison-Wesley 1998: Walker Royce, Software Project Management?A Unified Framework, Addison-Wesley-Longman 1999: Beedle, Mike; Devos, Martine; Sharon, Yonat; Schwaber, Ken; Sutherland, Jeff. SCRUM: An extension pattern language for hyperproductive software development. In Harrison, Neil; Foote, Brian; Ronhert, Hans (Eds.) Pattern Languages of Program Design 4. Addison-Wesley Software Patterns Series. 1992: Jacobson, Ivar, Object-Oriented Software Engineering: A Use Case Driven Approach. Chapter 2, The system life cycle.
1997 Alistair Cockburn, Using VW Staging to Clarify Spiral Development CreditThis page is extensively based on:
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