software life cycle model

Beschreibung

Mindmap am software life cycle model, erstellt von Tristan Perry am 15/10/2018.
Tristan Perry
Mindmap von Tristan Perry, aktualisiert more than 1 year ago
Tristan Perry
Erstellt von Tristan Perry vor etwa 6 Jahre
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Zusammenfassung der Ressource

software life cycle model
  1. Linear Model
    1. Definition: An iterative life cycle model does not attempt to start with a full specification of requirements. Instead, development begins by specifying and implementing just part of the software, which can then be reviewed in order to identify further requirements. This process is then repeated, producing a new version of the software for each cycle of the model.
      1. Advantages: Generates working software quickly and early during the software life cycle (tutorialspoint, 2018). More flexible – less costly to change scope and requirements.(tutorialspoint, 2018) Easier to test and debug during a smaller iteration.(tutorialspoint, 2018)
        1. Disadvantages : Each phase of an iteration is rigid and do not overlap each other (tutorialspoint, 2018). Problems may arise pertaining to system architecture because not all requirements are gathered up front for the entire software life cycle.(tutorialspoint, 2018)
          1. Scenario: The linear model will be appropriate to use when there are no ambiguous requirements. (tutorialspoint, 2018)A Scenario of this would be the development of an app with its features can be developed about in different ways either than sticking to one way of going about it
          2. Agile Model
            1. Advantages :Is a very realistic approach to software development. (tutorialspoint, 2018)Promotes teamwork and cross training. (tutorialspoint, 2018)Functionality can be developed rapidly and demonstrated. (tutorialspoint, 2018)Resource requirements are minimum.(tutorialspoint, 2018)
              1. Disadvantages: Not suitable for handling complex dependencies. (tutorialspoint, 2018)More risk of sustainability, maintainability and extensibility. (tutorialspoint, 2018)An overall plan, an agile leader and agile PM practice is a must without which it will not work.(tutorialspoint, 2018)
                1. Defintion: Agile model is a combination of iterative and incremental process models with focus on process adaptability and customer satisfaction by rapid delivery of working software product. (tutorialspoint, 2018)Agile model believes that every project needs to be handled differently and the existing methods need to be tailored to best suit the project requirements. In Agile, the tasks are divided to time boxes (small time frames) to deliver specific features for a release.(tutorialspoint, 2018)
                  1. Scenario: Agile software engineering embraces a philosophy that encourages customer satisfaction, incremental software delivery, small project teams and other things (e-Zest, 2018), when developing an application or even a video game with different features, different teams work on different parts of the application but due to customers being the ones using the software, relying on their opinion and views and where it can be improved or changed to make the interface or feel of the software better, basically agile model is best use for lots of user interaction and different features that could be divided into teams to produce software more faster and more efficient
                  2. Iterative Model
                    1. Advantages: Results are obtained early and periodically. (tutorialspoint, 2018)Parallel development can be planned.(tutorialspoint, 2018) Progress can be measured.(tutorialspoint, 2018)
                      1. Disadvantages: Not suitable for smaller projects.(tutorialspoint, 2018) Management complexity is more. (tutorialspoint, 2018) End of project may not be known which is a risk.(tutorialspoint, 2018)
                        1. Defintion : The iterative model is a particular implementation of a software development life cycle (SDLC) that focuses on an initial, simplified implementation, which then progressively gains more complexity and a broader feature set until the final system is complete. (Powell-Morse, 2016)
                          1. Scenario: Requirements of the complete system are clearly defined and understood. (tutorialspoint, 2018)Major requirements must be defined; however, some functionalities or requested enhancements may evolve with time. (tutorialspoint, 2018)
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