Software Process Models

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Presentation transcript:

Software Process Models

Outline Generic process framework Waterfall model Incremental model Prototyping model Spiral model Summary

Generic Process Framework Communication Involves communication among the customer and other stake holders; encompasses requirements gathering Planning Establishes a plan for software engineering work; addresses technical tasks, resources, work products, and work schedule Modelling (Analyse, Design) Encompasses the creation of models to better under the requirements and the design 3

Construction (Code, Test) Combines code generation and testing to uncover errors Deployment Involves delivery of software to the customer for evaluation and feedback

Modelling: Software Requirements Analysis Helps software engineers to better understand the problem they will work to solve Encompasses the set of tasks that lead to an understanding of what the business impact of the software will be, what the customer wants, and how end-users will interact with the software Uses a combination of text and diagrams to depict requirements for data, function, and behavior Provides a relatively easy way to understand and review requirements for correctness, completeness and consistency 5

Modelling: Software Design Brings together customer requirements, business needs, and technical considerations to form the “blueprint” for a product Creates a model that provides detail about software data structures, software architecture, interfaces, and components that are necessary to implement the system Architectural design Represents the structure of data and program components that are required to build the software Considers the architectural style, the structure and properties of components that constitute the system, and interrelationships that occur among all architectural components 6

Component-level Design User Interface Design Creates an effective communication medium between a human and a computer Identifies interface objects and actions and then creates a screen layout that forms the basis for a user interface prototype Component-level Design Defines the data structures, algorithms, interface characteristics, and communication mechanisms allocated to each software component

Traditional Process Models

Process Model Defines a distinct set of activities, actions, tasks, milestones, and work products that are required to engineer high-quality software The activities may be linear, incremental, or evolutionary 9

Waterfall Model (Diagram) Communication Project initiation Requirements gathering Planning Estimating Scheduling Tracking Modeling Analysis Design Construction Code Test Deployment Delivery Support Feedback 10

Waterfall Model (Description) Oldest software lifecycle model Used when requirements are well understood and risk is low Work flow is in a linear (i.e., sequential) fashion Used often with well-defined adaptations or enhancements to current software 11

Waterfall Model (Problems) Doesn't support iteration, so changes can cause confusion Difficult for customers to state all requirements explicitly and up front Requires customer patience because a working version of the program doesn't occur until the final phase Problems can be somewhat alleviated in the model through the addition of feedback loops (see the next slide) 12

Waterfall Model with Feedback (Diagram) Communication Project initiation Requirements gathering Planning Estimating Scheduling Tracking Modeling Analysis Design Construction Code Test Deployment Delivery Support Feedback 13

Incremental Model (Diagram) Communication Planning Modeling Construction Deployment Increment #2 Communication Planning Modeling Construction Deployment Increment #3 Communication Planning Modeling Construction Deploy……… 14

Incremental Model (Description) Used when requirements are well understood Multiple independent deliveries are identified Work flow is in a linear (i.e., sequential) fashion within an increment and is staggered between increments Iterative in nature; focuses on an operational product with each increment Provides a needed set of functionality sooner while delivering optional components later Useful also when staffing is too short for a full-scale development 15

Prototyping Model (Diagram) Quick Planning Communication Start Modeling Quick Design Deployment, Delivery, and Feedback Construction Of Prototype 16

Prototyping Model (Description) Follows an evolutionary and iterative approach Used when requirements are not well understood Serves as a mechanism for identifying software requirements Focuses on those aspects of the software that are visible to the customer/user Feedback is used to refine the prototype 17

Prototyping Model (Potential Problems) The customer sees a "working version" of the software, wants to stop all development and then buy the prototype after a "few fixes" are made Developers often make implementation compromises to get the software running quickly (e.g., language choice, user interface, operating system choice, inefficient algorithms) Lesson learned Define the rules up front on the final disposition of the prototype before it is built In most circumstances, plan to discard the prototype and engineer the actual production software with a goal toward quality 18

Spiral Model (Diagram) Planning Communication Modeling Start Start Deployment Construction 19

Spiral Model (Description) Follows an evolutionary approach Used when requirements are not well understood and risks are high Inner spirals focus on identifying software requirements and project risks; may also incorporate prototyping Outer spirals take on a classical waterfall approach after requirements have been defined, but permit iterative growth of the software 20

Operates as a risk-driven model…a go/no-go decision occurs after each complete spiral in order to react to risk determinations Requires considerable expertise in risk assessment Serves as a realistic model for large-scale software development

General Weaknesses of Evolutionary Process Models Prototyping poses a problem to project planning because of the uncertain number of iterations required to construct the product Evolutionary software processes do not establish the maximum speed of the evolution If too fast, the process will fall into chaos If too slow, productivity could be affected 22

Software processes should focus first on flexibility and extensibility, and second on high quality We should prioritize the speed of the development over zero defects Extending the development in order to reach higher quality could result in late delivery