Medium-size system integration or IT Solution Company’s solution development project has limitation as like human resource limitation, budget limitation and expert limitation. Especially it is hard to maintain many IT experts for medium-size and small-size system integration or IT Solution Company. Thus in order to efficiently and beneficially complete projects, medium-size and small-size system integration or IT Solution Company should have appropriate solution development methodology.Solution development projects for medium-size and small-size system integration or IT Solution Company are usually shot-term and small budget so that they need slim and light-weight solution development methodology. But usual medium-size and small-size system integration or IT Solution Company do not have their own appropriate solution development methodology. Thus, if those kinds of solution development methodologies are applied to solution development projects for medium-size and small-size system integration or IT solution company without some modifications, shortage of human resources, incompleteness of solution and deliverables could arouse.Especially unnecessary paper works (deliverables and documentations) to both of projects teams and client’s wastes project resources and time. We analyze previous solution development methodologies and derive mandatory deliverables and optional deliverables. Before deriving them, we newly define procedures and tasks for each project stages which are necessary to projects team and clients, from client and expert of interviews. Our proposed solution development methodology can easily leverage the development overhead of short-term projects. Optional deliverables can be omitted by the contraction between project team and client.
This presentation explains what is software development methodology. It also explores various methodologies such as Waterfall Model, Prototype Model, Incremental Model, Spiral Model, RAD Model, and V-Model.
http://www.ifour-consultancy.com/
http://www.ifourtechnolab.com
During the Spring semester, I teach a 3 credit survey course in software development, at UW-Madison (IS 371), which is the first in the series of courses in the Information Systems major track. As part of this course, I devote an entire lecture to discussing different types of software development (Agile, Waterfall, Extreme, Spiral, etc.) I hope it helps the students better understand the different types of software development styles, as well as the benefits and drawbacks of each. In my opinion, they need to learn early on that there is more than one way to go about a software development challenge, and they need to figure out which style works best for them.
This presentation provides useful and beneficial information related to software development companies. It defines Software development methodology and elaborates various methodologies adopted by software application development companies, web application development companies, custom software development services in India.
Courtesy: Shreyans Agrawal (ifour.shreyans.agrawal@gmail.com)
http://www.ifour-consultancy.com
http://www.ifourtechnolab.com
This lecture note discusses software development process models. It begins by defining the software development process and outlining its key activities: specification, development, validation, and evolution. It then examines six common software development life cycle models - waterfall, evolutionary, V-shaped, spiral, agile, and rational unified process. For each model, it provides an overview and diagram of the process, discusses strengths and weaknesses, and compares it with other models. The note aims to educate students on established frameworks for developing software.
This document discusses different software development life cycle (SDLC) models. It describes the waterfall model as the first introduced process model where each phase must be completed before the next begins. The spiral model is presented as a combination of waterfall and risk analysis, with iterative cycles to reduce risk. The iterative enhancement model implements parts of software in cycles to identify further requirements through review.
This document discusses and compares various software development methodologies. It describes the Waterfall model, Prototyping model, Incremental model, Iterative model, Spiral model, RUP, XP, Agile, Scrum, Lean, DSDM, RAD and FDD methodologies. It explains that a methodology provides a formalized or systematic process for creating software. Methodologies can be sequential like Waterfall or iterative like Agile approaches. The document also gives overviews of specific methodologies like Scrum, Lean, XP and DSDM.
The document discusses several software development life cycle (SDLC) models:
- The waterfall model is a linear and sequential approach with distinct phases for requirements, design, implementation, testing, and deployment. It works well for projects with stable requirements.
- The V-shaped model emphasizes verification and validation testing at each phase. It is suited for projects requiring high reliability.
- Evolutionary prototyping involves building prototypes early and getting user feedback in iterations to refine requirements. It helps clarify unstable requirements.
- Rapid application development (RAD) emphasizes user involvement and productivity tools to reduce cycle times. It is suited when requirements are reasonably well known.
- Incremental development delivers partial systems in increments to get early benefits while allowing
This presentation explains what is software development methodology. It also explores various methodologies such as Waterfall Model, Prototype Model, Incremental Model, Spiral Model, RAD Model, and V-Model.
http://www.ifour-consultancy.com/
http://www.ifourtechnolab.com
During the Spring semester, I teach a 3 credit survey course in software development, at UW-Madison (IS 371), which is the first in the series of courses in the Information Systems major track. As part of this course, I devote an entire lecture to discussing different types of software development (Agile, Waterfall, Extreme, Spiral, etc.) I hope it helps the students better understand the different types of software development styles, as well as the benefits and drawbacks of each. In my opinion, they need to learn early on that there is more than one way to go about a software development challenge, and they need to figure out which style works best for them.
This presentation provides useful and beneficial information related to software development companies. It defines Software development methodology and elaborates various methodologies adopted by software application development companies, web application development companies, custom software development services in India.
Courtesy: Shreyans Agrawal (ifour.shreyans.agrawal@gmail.com)
http://www.ifour-consultancy.com
http://www.ifourtechnolab.com
This lecture note discusses software development process models. It begins by defining the software development process and outlining its key activities: specification, development, validation, and evolution. It then examines six common software development life cycle models - waterfall, evolutionary, V-shaped, spiral, agile, and rational unified process. For each model, it provides an overview and diagram of the process, discusses strengths and weaknesses, and compares it with other models. The note aims to educate students on established frameworks for developing software.
This document discusses different software development life cycle (SDLC) models. It describes the waterfall model as the first introduced process model where each phase must be completed before the next begins. The spiral model is presented as a combination of waterfall and risk analysis, with iterative cycles to reduce risk. The iterative enhancement model implements parts of software in cycles to identify further requirements through review.
This document discusses and compares various software development methodologies. It describes the Waterfall model, Prototyping model, Incremental model, Iterative model, Spiral model, RUP, XP, Agile, Scrum, Lean, DSDM, RAD and FDD methodologies. It explains that a methodology provides a formalized or systematic process for creating software. Methodologies can be sequential like Waterfall or iterative like Agile approaches. The document also gives overviews of specific methodologies like Scrum, Lean, XP and DSDM.
The document discusses several software development life cycle (SDLC) models:
- The waterfall model is a linear and sequential approach with distinct phases for requirements, design, implementation, testing, and deployment. It works well for projects with stable requirements.
- The V-shaped model emphasizes verification and validation testing at each phase. It is suited for projects requiring high reliability.
- Evolutionary prototyping involves building prototypes early and getting user feedback in iterations to refine requirements. It helps clarify unstable requirements.
- Rapid application development (RAD) emphasizes user involvement and productivity tools to reduce cycle times. It is suited when requirements are reasonably well known.
- Incremental development delivers partial systems in increments to get early benefits while allowing
A software process model is an abstract representation of a process that guides the coordination and control of tasks needed to develop software. Common models include waterfall, prototype, rapid application development, evolutionary development, incremental, iterative, spiral, and component-based development. The waterfall model involves sequential phases from requirements to maintenance without iteration. Iterative models allow for incremental development and feedback through multiple iterations. The spiral model combines iterative development with risk analysis through iterations called spirals.
In this presentation, we will discuss about software development techniques, where we will cover life cycle model, life cycle of a system, system requirement analysis and various software development life cycle models.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
The document discusses the system development life cycle (SDLC), which includes preliminary investigation, requirements analysis, system design, software development, system testing, and implementation and maintenance. It describes the purpose and history of SDLC as emerging in the 1960s to address the "software crisis". It also outlines the main steps and activities in each phase of the SDLC process.
The document discusses several software development life cycle (SDLC) models, including waterfall, iterative, spiral, V-model, big bang, RAD, and agile. It provides details on the waterfall, iterative, spiral, and V-model approaches, including their applications, advantages, and disadvantages. The waterfall model is described as the classic sequential approach. The iterative model allows for incremental improvements through repeated cycles. The spiral model combines iterative and waterfall elements. The V-model associates testing with each development stage.
The document presents information on the Software Development Life Cycle (SDLC), including:
1) It describes the seven main phases of the SDLC - planning, analysis, design, development, testing, implementation, and maintenance.
2) It discusses several SDLC models like waterfall, iterative, prototyping, spiral and V-model and compares their strengths and weaknesses.
3) It emphasizes the important role of testing in the SDLC and describes different testing types done during the phases.
The document discusses the software development life cycle (SDLC) which consists of 6 phases: requirements gathering, design, development, testing, implementation, and maintenance. It describes each phase in more detail. It then discusses different SDLC models like waterfall, iterative, spiral, and evolutionary process which help implement the phases. The waterfall model follows a sequential process while iterative is more flexible and produces incremental versions. Spiral combines iterative with one SDLC model and considers risks. Evolutionary process resembles iterative but doesn't require a usable product each cycle.
The document discusses software engineering and the software development life cycle (SDLC). It defines key terms like system software, application software, and network-based software. It describes the characteristics of well-engineered software and lists the typical phases in the SDLC: analysis, design, coding, testing, implementation, maintenance, and re-engineering. The advantages of following the SDLC are also highlighted.
The document discusses the Software Development Life Cycle (SDLC), which is a process that consists of detailed planning for developing, maintaining, replacing, and enhancing software within an organization. The SDLC defines a methodology with phases including planning, analysis, design, implementation, and testing/maintenance. The planning phase involves feasibility studies and creating a project plan. The analysis phase breaks down requirements and gathers stakeholder needs. The design phase determines if development is internal or outsourced. The implementation phase builds, tests, and trains users on the new software. Testing and maintenance identifies and fixes bugs while accommodating new requirements.
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
The document discusses different software development life cycle (SDLC) models. It defines SDLC as a process used by the software industry to design, implement, and test high-quality software. The main stages of SDLC are planning, analysis, design, coding/development, testing, and deployment. It then describes six common SDLC methodologies - waterfall, V-shaped, iterative, spiral, big bang, and agile - and explains when each is generally most appropriate to use.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, spiral, and agile models. It provides details on the key steps, strengths, weaknesses, and scenarios for using each model. Quality assurance is important for any SDLC and includes elements like defect tracking, unit testing, code reviews, and integration/system testing.
This document provides an overview of several software development life cycle models:
- The Waterfall Model involves sequential phases from requirements to maintenance without iteration.
- Prototyping allows for experimenting with designs through iterative prototype development and user testing.
- Iterative models like the Spiral Model involve repeating phases of design, implementation, and testing in cycles with user feedback.
Evolution of software; Characteristics of software; Software applications; Components of software; Software myths; Software problems; Software reuse; Overview of risk management; Process visibility; Professional responsibility.
The document discusses several software engineering life cycle models including the build and fix model, waterfall model, incremental process model, iterative enhancement model, rapid application development model, evolutionary process model, prototype model, and spiral model. It provides descriptions of each model's phases and suitability for different types of projects. The spiral model incorporates risk management and allows for revisiting previous phases if needed, making it more flexible than traditional linear models.
This document discusses different software life cycle models, including the classical waterfall model, iterative waterfall model, evolutionary model, prototyping model, and spiral model. It describes the phases and advantages and disadvantages of each. The classical waterfall model is considered theoretical while the iterative model is more practical but rigid. The evolutionary and prototyping models are useful when requirements are unclear. The spiral model subsumes other models but is complex. The appropriate model depends on the project's risks and understanding. Adhering to a model helps produce quality software systematically.
The document compares various software development life cycle (SDLC) models, including the waterfall model, spiral model, prototype model, and iterative model. It discusses the advantages and limitations of each model. The waterfall model is simple and easy to understand but cannot accommodate changing requirements. The spiral model emphasizes risk analysis but can be costly. The prototype model involves user feedback early but risks wasted time if the prototype is rejected. The iterative model allows for changes between iterations but requires more management attention. In conclusion, the best model depends on the project's characteristics and needs.
The document discusses several software development life cycle (SDLC) models: Waterfall, V-shaped, structured evolutionary prototyping, rapid application development (RAD), incremental, and spiral. For each model, it describes the key steps, strengths, weaknesses, and scenarios where the model is best applied. The Waterfall model involves sequential phases from requirements to maintenance, while the V-shaped model adds verification and validation phases. Structured evolutionary prototyping uses iterative prototyping for requirements gathering. RAD emphasizes rapid delivery through time-boxing and productivity tools. Incremental development prioritizes requirements delivery in groups. The spiral model incorporates risk analysis, prototyping, and iterative cycles.
1. Software development life cycle models break down the development process into distinct phases to manage complexity. Common models include waterfall, incremental, evolutionary (like prototyping and spiral), and component-based.
2. The waterfall model follows linear sequential phases from requirements to maintenance. Incremental models iterate through phases. Evolutionary models use prototypes to evolve requirements through customer feedback.
3. The spiral model is an evolutionary model representing phases as loops in a spiral, with risk assessment and reduction at each phase. It aims to minimize risk through iterative development and prototyping.
Agile software development is a group of software development methods in which requirements and solutions evolve through collaboration between self-organizing, cross-functional teams. It promotes adaptive planning, evolutionary development, early delivery, continuous improvement, and encourages rapid and flexible response to change.
The Agile development model is also a type of Incremental model. Software is developed in incremental, rapid cycles. This results in small incremental releases with each release building on previous functionality. Each release is thoroughly tested to ensure software quality is maintained. It is used for time critical applications.
Information systems development methodologies (autosaved)Vaska Shefteroska
This document provides an overview and comparison of several information systems development methodologies: Spiral Model, Incremental Development, Prototype Model.
It describes the key characteristics of each model, including their phases, advantages, and disadvantages. Spiral model emphasizes risk assessment and minimizing risks. Incremental development divides a project into smaller parts to demonstrate early results. Prototype model builds prototypes to understand requirements through user feedback.
A comparison table outlines when each model is most appropriate based on factors like system type, project size, requirements, and team experience. The conclusion states that selecting the right methodology depends on a project's specific needs, and following a process is important for success.
A software process model is an abstract representation of a process that guides the coordination and control of tasks needed to develop software. Common models include waterfall, prototype, rapid application development, evolutionary development, incremental, iterative, spiral, and component-based development. The waterfall model involves sequential phases from requirements to maintenance without iteration. Iterative models allow for incremental development and feedback through multiple iterations. The spiral model combines iterative development with risk analysis through iterations called spirals.
In this presentation, we will discuss about software development techniques, where we will cover life cycle model, life cycle of a system, system requirement analysis and various software development life cycle models.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
The document discusses the system development life cycle (SDLC), which includes preliminary investigation, requirements analysis, system design, software development, system testing, and implementation and maintenance. It describes the purpose and history of SDLC as emerging in the 1960s to address the "software crisis". It also outlines the main steps and activities in each phase of the SDLC process.
The document discusses several software development life cycle (SDLC) models, including waterfall, iterative, spiral, V-model, big bang, RAD, and agile. It provides details on the waterfall, iterative, spiral, and V-model approaches, including their applications, advantages, and disadvantages. The waterfall model is described as the classic sequential approach. The iterative model allows for incremental improvements through repeated cycles. The spiral model combines iterative and waterfall elements. The V-model associates testing with each development stage.
The document presents information on the Software Development Life Cycle (SDLC), including:
1) It describes the seven main phases of the SDLC - planning, analysis, design, development, testing, implementation, and maintenance.
2) It discusses several SDLC models like waterfall, iterative, prototyping, spiral and V-model and compares their strengths and weaknesses.
3) It emphasizes the important role of testing in the SDLC and describes different testing types done during the phases.
The document discusses the software development life cycle (SDLC) which consists of 6 phases: requirements gathering, design, development, testing, implementation, and maintenance. It describes each phase in more detail. It then discusses different SDLC models like waterfall, iterative, spiral, and evolutionary process which help implement the phases. The waterfall model follows a sequential process while iterative is more flexible and produces incremental versions. Spiral combines iterative with one SDLC model and considers risks. Evolutionary process resembles iterative but doesn't require a usable product each cycle.
The document discusses software engineering and the software development life cycle (SDLC). It defines key terms like system software, application software, and network-based software. It describes the characteristics of well-engineered software and lists the typical phases in the SDLC: analysis, design, coding, testing, implementation, maintenance, and re-engineering. The advantages of following the SDLC are also highlighted.
The document discusses the Software Development Life Cycle (SDLC), which is a process that consists of detailed planning for developing, maintaining, replacing, and enhancing software within an organization. The SDLC defines a methodology with phases including planning, analysis, design, implementation, and testing/maintenance. The planning phase involves feasibility studies and creating a project plan. The analysis phase breaks down requirements and gathers stakeholder needs. The design phase determines if development is internal or outsourced. The implementation phase builds, tests, and trains users on the new software. Testing and maintenance identifies and fixes bugs while accommodating new requirements.
This presentation is about a lecture I gave within the "Software systems and services" immigration course at the Gran Sasso Science Institute, L'Aquila (Italy): http://cs.gssi.infn.it/.
http://www.ivanomalavolta.com
The document discusses different software development life cycle (SDLC) models. It defines SDLC as a process used by the software industry to design, implement, and test high-quality software. The main stages of SDLC are planning, analysis, design, coding/development, testing, and deployment. It then describes six common SDLC methodologies - waterfall, V-shaped, iterative, spiral, big bang, and agile - and explains when each is generally most appropriate to use.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, spiral, and agile models. It provides details on the key steps, strengths, weaknesses, and scenarios for using each model. Quality assurance is important for any SDLC and includes elements like defect tracking, unit testing, code reviews, and integration/system testing.
This document provides an overview of several software development life cycle models:
- The Waterfall Model involves sequential phases from requirements to maintenance without iteration.
- Prototyping allows for experimenting with designs through iterative prototype development and user testing.
- Iterative models like the Spiral Model involve repeating phases of design, implementation, and testing in cycles with user feedback.
Evolution of software; Characteristics of software; Software applications; Components of software; Software myths; Software problems; Software reuse; Overview of risk management; Process visibility; Professional responsibility.
The document discusses several software engineering life cycle models including the build and fix model, waterfall model, incremental process model, iterative enhancement model, rapid application development model, evolutionary process model, prototype model, and spiral model. It provides descriptions of each model's phases and suitability for different types of projects. The spiral model incorporates risk management and allows for revisiting previous phases if needed, making it more flexible than traditional linear models.
This document discusses different software life cycle models, including the classical waterfall model, iterative waterfall model, evolutionary model, prototyping model, and spiral model. It describes the phases and advantages and disadvantages of each. The classical waterfall model is considered theoretical while the iterative model is more practical but rigid. The evolutionary and prototyping models are useful when requirements are unclear. The spiral model subsumes other models but is complex. The appropriate model depends on the project's risks and understanding. Adhering to a model helps produce quality software systematically.
The document compares various software development life cycle (SDLC) models, including the waterfall model, spiral model, prototype model, and iterative model. It discusses the advantages and limitations of each model. The waterfall model is simple and easy to understand but cannot accommodate changing requirements. The spiral model emphasizes risk analysis but can be costly. The prototype model involves user feedback early but risks wasted time if the prototype is rejected. The iterative model allows for changes between iterations but requires more management attention. In conclusion, the best model depends on the project's characteristics and needs.
The document discusses several software development life cycle (SDLC) models: Waterfall, V-shaped, structured evolutionary prototyping, rapid application development (RAD), incremental, and spiral. For each model, it describes the key steps, strengths, weaknesses, and scenarios where the model is best applied. The Waterfall model involves sequential phases from requirements to maintenance, while the V-shaped model adds verification and validation phases. Structured evolutionary prototyping uses iterative prototyping for requirements gathering. RAD emphasizes rapid delivery through time-boxing and productivity tools. Incremental development prioritizes requirements delivery in groups. The spiral model incorporates risk analysis, prototyping, and iterative cycles.
1. Software development life cycle models break down the development process into distinct phases to manage complexity. Common models include waterfall, incremental, evolutionary (like prototyping and spiral), and component-based.
2. The waterfall model follows linear sequential phases from requirements to maintenance. Incremental models iterate through phases. Evolutionary models use prototypes to evolve requirements through customer feedback.
3. The spiral model is an evolutionary model representing phases as loops in a spiral, with risk assessment and reduction at each phase. It aims to minimize risk through iterative development and prototyping.
Agile software development is a group of software development methods in which requirements and solutions evolve through collaboration between self-organizing, cross-functional teams. It promotes adaptive planning, evolutionary development, early delivery, continuous improvement, and encourages rapid and flexible response to change.
The Agile development model is also a type of Incremental model. Software is developed in incremental, rapid cycles. This results in small incremental releases with each release building on previous functionality. Each release is thoroughly tested to ensure software quality is maintained. It is used for time critical applications.
Information systems development methodologies (autosaved)Vaska Shefteroska
This document provides an overview and comparison of several information systems development methodologies: Spiral Model, Incremental Development, Prototype Model.
It describes the key characteristics of each model, including their phases, advantages, and disadvantages. Spiral model emphasizes risk assessment and minimizing risks. Incremental development divides a project into smaller parts to demonstrate early results. Prototype model builds prototypes to understand requirements through user feedback.
A comparison table outlines when each model is most appropriate based on factors like system type, project size, requirements, and team experience. The conclusion states that selecting the right methodology depends on a project's specific needs, and following a process is important for success.
This presentation gives an introduction about different types of information systems, the information system's development methodologies and required infrastructures.
Structured Vs, Object Oriented Analysis and DesignMotaz Saad
This document discusses structured vs object-oriented analysis and design (SAD vs OOAD) for software development. It outlines the phases and modeling techniques used in SAD like data flow diagrams, decision tables, and entity relationship diagrams. It also outlines the phases and modeling techniques used in OOAD like use cases, class diagrams, sequence diagrams, and state machine diagrams. The document compares key differences between SAD and OOAD, discusses textbooks on software engineering and UML, and references papers on using UML in practice and evaluating the impact and costs/benefits of UML in software maintenance.
The document summarizes the systems development life cycle (SDLC) which includes four phases - planning, analysis, design, and implementation. Each phase consists of steps that produce deliverables and moves the system design forward through refinement. Methodologies like waterfall, RAD, agile help structure the SDLC process. Key factors in selecting a methodology include requirements clarity, technology familiarity, system complexity, reliability needs, and time schedules.
6 basic steps of software development processRiant Soft
The document outlines the six basic stages of the software development life cycle: 1) Requirement gathering and analysis, 2) System analysis, 3) System design, 4) Coding, 5) Testing, and 6) Implementation. It describes each stage in the process, from gathering requirements from stakeholders to implementing the final tested software. An effective software development life cycle ensures quality and correctness through rigorous testing and design at each stage of building the software.
This document discusses Microsoft SharePoint MVP Ayman ElHattab and provides information on several topics related to application lifecycle management (ALM) including governance, development, and operations. It also summarizes the evolution of development tools from the 1970s to present day and highlights key capabilities of Microsoft Team Foundation Server 2010 such as work item tracking, version control, test case management, build management, and lab management.
This document discusses application lifecycle management using Microsoft tools and processes. It covers planning and tracking projects, modeling applications, developing collaboratively, automating builds, and managing the application lifecycle from design through deployment. Resources for branching strategies, build customization, and more are also referenced.
Modernisation Strategy for Science at RBG Kew. The presentation is part of a "toolkit" delivered to help Kew to rationalise, consolidate and integrate disparate & legacy Science Applications and Data.
The document discusses software development processes and methodologies. It provides definitions of key concepts like software process and project management methodology. It then summarizes various software development models and processes like the Rational Unified Process, spiral development, incremental development, and the unified software development process. The unified process classifies iterations into inception, elaboration, construction and transition iterations. It also discusses the six models or views used in the unified process - use case model, analysis model, design model, implementation model, test model and deployment model.
The document summarizes a presentation given at a Business Analyst Conference on requirement traceability matrices. It defines what a traceability matrix is, describes the components of requirements that need to be traced, and provides an example matrix. It explains why traceability is important for requirements management, change impact analysis, and ensuring quality. While traceability was once seen as a paperwork exercise, it now enables better project control and process improvement when used with requirements management tools.
The document discusses architectural test case writing. It begins by covering software development methodologies like waterfall and iterative models. It then discusses software testing, particularly architectural testing. Key aspects of architectural test cases are described such as using quality attributes to derive scenarios and test cases. An example scenario and test case template are provided. The document emphasizes that architectural test cases should validate quality attributes and non-functional requirements.
The document provides an overview of the HandSimDroid project. It includes an agenda for a meeting covering the project overview, process, requirements, risk management, system architecture, next steps, and accomplishments. The team used the Team Software Process and developed requirements, risk management plans, architectural diagrams, and plans to move forward with additional training, prototyping, and formalizing the project scope. They discussed accomplishments from the first part of the project and took questions.
Shirly Ronen - User story testing activitiesAgileSparks
The document discusses testing user stories throughout the development process from planning through deployment. It emphasizes testing early by writing automated unit tests during development. Testers work closely with developers to understand the approach and test in the development environment. This helps find defects early and prevent issues. The goal is to deliver working software through continuous testing, including acceptance criteria, exploratory testing, automation, and regression testing.
The Web Development Eco-system with VSTS, ASP.NET 2.0 & Microsoft AjaxDarren Sim
This document provides an overview of the Visual Studio Team System (VSTS) for web development. It discusses common pains experienced by web development teams and how VSTS addresses them through integrated tools for source control, work item tracking, reporting, build automation, and project portals. Key features of VSTS demonstrated include change management, work item management, shared and exclusive checkouts, promotion modeling, and reports. Additional resources for learning more about VSTS are also provided.
The document outlines an iterative methodology for deploying Aras Innovator. It discusses dividing projects into manageable phases like inception, elaboration, construction, and transition. Each phase has objectives and milestones. The methodology emphasizes iterative design, managing requirements, continuous verification, and controlling changes. It provides tips for implementation like using visual prototypes, breaking work into components, and ensuring quality through user testing.
Session #1: Development Practices And The Microsoft ApproachSteve Lange
This document discusses Microsoft's approach to development best practices, which focuses on collaboration, managing team workflow, driving predictability, ensuring quality early and often, and integrating work frequently. It describes how Microsoft's Visual Studio Team System provides tools to help with collaboration, work tracking, process guidance, testing, version control, and reporting to support development teams.
The document describes a framework for automating web application testing using test-driven development. It discusses using Java, Selenium, TestNG, Maven, and AutoIT to implement the framework. Object-oriented page object patterns are used to model pages, panels, and controls. Tests are run continuously through Jenkins and reported using dynamic HTML reports with screenshots and logs linked to source code. The goals are to make testing convenient, flexible, fast, and scalable.
This document discusses the design principles of advanced task elicitation systems. It begins with an introduction that outlines the motivation and challenges of manual task elicitation in software development. It then reviews related work on task elicitation systems and the need to evaluate their design principles empirically. The methodology section describes a design science research approach used to conceptualize and evaluate an artifact called REMINER. Evaluation results show that semi-automatic task elicitation and leveraging imported knowledge bases can significantly increase elicitation productivity compared to manual elicitation. The discussion covers limitations and opportunities for future research at the intersection of task elicitation and software development processes.
1. The document discusses integration and testing, including software quality assurance, integration approaches, and types of testing.
2. It provides an overview of roles in quality assurance and when quality assurance activities occur in the software development lifecycle.
3. Integration can be done using top-down or bottom-up approaches, progressively aggregating functionality while testing occurs in parallel with development.
An Introduction to Software Performance EngineeringCorrelsense
Software performance engineering is becoming increasingly important to businesses as they look to improve the non-functional performance of applications and get more out of IT investments. By leveraging performance engineering techniques, IT professionals can be indispensable in building and optimizing scalable systems. This
introductory course will teach you the essentials of software
performance engineering including :
• The performance challenges faced by Enterprise IT today
• What is software performance engineering (SPE)?
• Best practices for building scalable software systems
• The approaches to integrating SPE into IT project lifecycles
• Common frameworks for measuring application performance and service levels
• The impact of SPE on software developers, testers, capacity planes,
and other IT professionals
• Case studies from the finance, retail, and insurance industries
Instructor: Walter Kuketz, SVP and CTO, Collaborative Consulting
This training is sponsored by Correlsense, Collaborative Consulting,
and New Horizons
The document describes Unosquare's delivery centers located across the United States and Mexico, which provide services such as software development, QA testing, and project management using agile methodologies and tools. It highlights benefits like lower costs, ease of collaboration due to proximity, and cultural similarities that make working with the Mexico delivery center attractive. Sample metrics are also provided showing the company's testing capabilities.
The document outlines the methodology for an OpenERP project. It describes the key steps and phases in the project including pre-analysis, proof of concept, gap analysis, estimation, planning, analysis, development, testing, deployment, training, and post-deployment support. The goal is to take an agile approach, working in short sprints to quickly deliver value to the customer.
The document discusses various software development life cycle (SDLC) models including waterfall, V-shaped, spiral, iterative, incremental, and agile. It also describes different agile methodologies like extreme programming, adaptive software development, scrum, dynamic system development method, crystal, feature driven development, and agile modeling. Finally, it covers software engineering process and process improvement frameworks like the capability maturity model.
Similar to Study of solution development methodology for small size projects. (20)
Study of solution development methodology for small size projects.
1. Joonho Park, Kwang Sik Chung
Korea National Open University graduate school Dept.
of Computer Science
2. Introduction
Overview of Development Methodology
Previous Works and Analysis
Solution Development Methodology for Small-Size
Projects
Conclusion
3. Solution Development Methodology
Characteristics of small-size projects
Problems of small-size projects
Need a new a solution for the small-size of the project
Development Methodology
4. Year’s Methodology
1960’s No methodology
1970’s Waterfall method
1980’s life cycle perspective
1990’s Rational Unified Process
2000’s Agile Unified Process
5. A Development Methodology is
Task procedures
Task methodology
Project development document
Management method
Development tools
6. Small-size projects on a small budget and a short-
period development.
In addition, Problems when to apply the development
methodology that is used by big companies, in the
small-size projects
Most importantly, Not have a solution development
methodology appropriate for small-size projects.
7. Low budget
Short period (less than 6 months)
Minimized human resources
Different Development processes
Different Business scale
System integration(SI) Vs. Solution Development
8. Step 1 . Analyze solution development methodologies
eGovFrame , CBD, LG CNS, Samsung SDS, Marmi IV, Dongbu CNI,
Kolon Benit
Step 2 . client Interviews (visit)
Step 3 . Online surveys of developer
Step 4 . Expert advisory
Step 5 . Development methodology theorem
9. Step 1. Analyze solution development methodologies
IT Solution Development Methodologies Analysis
10. Task Division Document
Interview results
Requirements analysis
Mandatory Deliverables System analysis
Gap analysis
Architecture Design
Analysis
Use-case diagram
(Requirements)
Work flow diagram
Component Diagram
Optional Deliverables
ERD
Interface List
Interface Design
MANDATORY AND OPTIONAL DOCUMENT OF ANALYSIS TASK
11. Task Division Document
Test plan
Interface Design
Table List
Table Design
Mandatory Deliverables
User’s Manual
Operator’s Manual
Design
Integration test results
Unit test results
WebApp design
Integration test scenario
Optional Deliverables
System test scenario
System test results
MANDATORY AND OPTIONAL DOCUMENT OF DESIGN TASK
12. Task Division Document
Mandatory Deliverables Source Code
development
Optional Deliverables Component diagram
MANDATORY AND OPTIONAL DOCUMENT OF DEVELOPMENT TASK
13. Task Division Document
Mandatory Deliverables Education plan
implementation
(operation)
Pilot operating plan and
Optional Deliverables
journal
MANDATORY AND OPTIONAL DOCUMENT OF IMPLEMENTATION TASK
15. Step 2. client Interviews
Development documents
etc.
20%
Operator Instructions
40%
Operator's Manual
20%
Program List
20%
[5 users ]
16. Step 3. Online surveys of developer Survey period : 3 July 2012 ~ 17 August 2012
Methodology need small-size projects
Yes
27%
No
73%
[ 22 users ]
17. Step 4. Expert advisory
Experts' Necessary Deliverables of Development Methodology
Development methodology
6
5
4
Choice count
3
2
1
0
Soluti
curren
on requir requir Soluti Interg
t Use Archit Interfa Seque Unit Test-
manu ement ement on Class ration Educa Argu
syste case ecture ce nce Test test Source Open operat
al s s GAP Diagra test tion ment
m scenar definit definit Diagra Plan scenar Code plan ed
(devel definit specifi definit m scenar Plan plan
analys io ion ion m io plan
oper , ion cation ion io
is
user)
Analysis∙Design Development delivery
frequency 5 5 5 1 1 3 1 3 1 0 4 2 3 5 1 1 1 4
18. Step 4. Expert advisory
Experts' Unnecessary Deliverables of Development Methodology
Development methodology
4.5
4
3.5
3
Choice count
2.5
2
1.5
1
0.5
0
Development standard
Table Definition Entity Definition Entity Manula Data conversion plan
defintion
frequency 4 2 2 1 1
19. Stages Task Document
Solution Manual
Pre-education (Solution)
(Uaser’s Manual, Operator’s Manual)
Current system analysis
Interview results
Analysis
Requirement analysis
Analysis & Design Architecture Design
Interface Design
Table Design & List
Design and Test Plan Test Plan
Integration test & Results
Unit test & Results
Development Coding Source code
Education Plan
Open Plan
Implementation Operation
Test operated plan
Take over Plan
20. Add solution education task on analysis stage
Client is presented to detail requirement
Development project management tools
Standards deliverables format
Guide document writing to deliverables document