This document discusses iterative software development and its benefits over traditional waterfall development. It notes that iterative development addresses risks earlier through incremental deliverables. Each iteration includes integration, testing, and assessment. This allows problems to be identified and addressed sooner. In contrast, waterfall development delays testing until late in the project and does not allow for feedback and changes between phases. The document recommends iterative development as a best practice to address common problems like changing requirements and late discovery of issues.
This document discusses software engineering concepts and the traditional waterfall development process. It notes that the waterfall process is not receptive to change and risks are not addressed until late in the project. The document then proposes an iterative development process that embraces change, identifies and resolves risks upfront, uses architecture and user involvement to improve outcomes. Overall it analyzes issues with the traditional approach and advocates for a better, more iterative software engineering process.
Kelis king - software engineering and best practicesKelisKing
Kelis King offer involve conducting system testing to ensure correct operation, and integration testing to ensure the system integrates correctly with other required systems, such as databases.
Intro to Software Engineering - Life Cycle ModelsRadu_Negulescu
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The document discusses various software process models. It begins by defining a software process as a structured set of activities needed to develop software. It then describes key attributes of a software process like understandability, visibility, and supportability. The document outlines common software process activities like requirements engineering, design, implementation, testing, and maintenance. It also discusses different software process models like waterfall, prototyping, iterative waterfall, incremental, and spiral. The waterfall model involves sequential phases from requirements to maintenance while prototyping and incremental models involve iterative development of prototypes or increments to refine requirements.
Bridging the Gap Between Development and Regulatory TeamsICS
This webinar provides a frank depiction on the collision of regulatory and development practices, and focuses on remedies in the form of processes, tools and approaches, that bridge the gap between the two.
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 summarizes the theory behind the traditional waterfall model of software development and suggests updates to it. It discusses five major problems with how the waterfall model was commonly practiced: 1) protracted integration and late design breakage, 2) late risk resolution, 3) requirements-driven functional decomposition, 4) adversarial stakeholder relationships, and 5) a focus on documents and review meetings over producing working software. It also reviews basic software economics principles from the 1980s that still generally hold true today.
This document discusses software engineering concepts and the traditional waterfall development process. It notes that the waterfall process is not receptive to change and risks are not addressed until late in the project. The document then proposes an iterative development process that embraces change, identifies and resolves risks upfront, uses architecture and user involvement to improve outcomes. Overall it analyzes issues with the traditional approach and advocates for a better, more iterative software engineering process.
Kelis king - software engineering and best practicesKelisKing
Kelis King offer involve conducting system testing to ensure correct operation, and integration testing to ensure the system integrates correctly with other required systems, such as databases.
Intro to Software Engineering - Life Cycle ModelsRadu_Negulescu
This document discusses various software life cycle models and their characteristics. It begins by defining a software life cycle and life cycle model. It then examines the build-and-fix, waterfall, V-model, prototyping, spiral model, incremental/iterative model, extreme programming, and formal methods life cycle models. Key factors in selecting a life cycle model are also discussed, such as application domain, schedule constraints, and risk tolerance. The document concludes by comparing agile and plan-driven methods and introducing the Capability Maturity Model for assessing the maturity of an organization's software development processes.
The document discusses various software process models. It begins by defining a software process as a structured set of activities needed to develop software. It then describes key attributes of a software process like understandability, visibility, and supportability. The document outlines common software process activities like requirements engineering, design, implementation, testing, and maintenance. It also discusses different software process models like waterfall, prototyping, iterative waterfall, incremental, and spiral. The waterfall model involves sequential phases from requirements to maintenance while prototyping and incremental models involve iterative development of prototypes or increments to refine requirements.
Bridging the Gap Between Development and Regulatory TeamsICS
This webinar provides a frank depiction on the collision of regulatory and development practices, and focuses on remedies in the form of processes, tools and approaches, that bridge the gap between the two.
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 summarizes the theory behind the traditional waterfall model of software development and suggests updates to it. It discusses five major problems with how the waterfall model was commonly practiced: 1) protracted integration and late design breakage, 2) late risk resolution, 3) requirements-driven functional decomposition, 4) adversarial stakeholder relationships, and 5) a focus on documents and review meetings over producing working software. It also reviews basic software economics principles from the 1980s that still generally hold true today.
The document discusses various topics related to software engineering including:
1. It defines software and describes attributes of good software such as functionality, maintainability, dependability, and usability.
2. It explains that software engineering is concerned with all aspects of software production, whereas computer science focuses more on theory and fundamentals.
3. Key attributes of good software are discussed including maintainability, dependability, efficiency, and acceptability.
4. Various software engineering models such as waterfall, prototyping, spiral, and agile models are briefly introduced.
This document discusses software process models. It begins by defining a software process as a structured set of activities required to develop software, including specification, analysis, design, implementation, validation, and evolution. It then describes several prescriptive process models: the waterfall model executes phases sequentially; incremental and evolutionary models iterate phases; and concurrent models perform phases in parallel. The document evaluates the strengths and weaknesses of each model to determine the most appropriate approach based on project requirements and risks.
This document summarizes the key issues with the traditional waterfall software development model based on analyses from the mid-1990s. It discusses that while the theory behind waterfall is sound, in practice it often led to: 1) protracted integration and late design breakages due to unforeseen issues emerging late in the process, 2) late risk resolution focusing too much on early paper artifacts, 3) requirements-driven decomposition ignoring emerging needs, 4) adversarial stakeholder relationships focusing on documents not collaboration, and 5) over-focus on documents and reviews not iterative development. Overall, less than 20% of projects succeeded under this model.
The document discusses software engineering and the Unified Software Development Process (USDP). It describes the USDP which includes phases of inception, elaboration, construction, and transition. Each phase involves iterations where requirements, analysis, design, implementation, and testing are done. The goal of each iteration is to produce an executable increment that is tested and evaluated.
Bridging the Gap Between Development and Regulatory TeamsICS
Bridging the gap between development and regulatory teams requires addressing their different workflows and tendencies.
1) Development teams prefer an agile approach with early iteration, while regulatory teams require a defined process. This leads to a gap if development starts without any process in place.
2) Managing complex, layered software and inevitable late changes is difficult under regulatory constraints. Processes need to assume change and minimize its impact.
3) Individual cognitive overload from balancing technical and regulatory demands can be reduced with simple, clear processes and guidelines.
Bridging the gap requires starting development with even a minimal interim process, keeping obligations simple, leveraging prototypes to reduce late changes, and optimizing document management between teams.
Science and Engineering
Discover
Relationships that exist but are not found
Formulas; chemical composition, d=r*t; calories in fats, carbohydrates, proteins; experimentation;
Astrophysics – origins of the universe
Build
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Software Engineering; Software Development
The document discusses several system development life cycle (SDLC) models including waterfall, iterative, incremental, spiral, RAD, concurrent, and unified process models. The key phases of SDLC are defined as preliminary survey, analysis, design, implementation, post-implementation/maintenance, and project termination. Each model takes different approaches such as sequential, iterative, incremental, or concurrent development through the SDLC phases.
This document provides an overview of software engineering. It discusses what software engineering is, common software development process models like waterfall, spiral, agile development, and the Unified Software Development Process (USDP). The USDP follows an iterative approach with phases for inception, elaboration, construction, and transition. Each phase has milestones and the process involves iterations where requirements, design, coding, and testing are done to create executable increments.
This document provides an overview of various software development life cycle (SDLC) models including waterfall, V-shape, prototyping, spiral, iterative, and incremental models. It describes the key stages and characteristics of each model as well as discussing their advantages and disadvantages. The document is intended to teach students about software engineering processes and which models are suited to different types of projects.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, incremental, spiral, rapid application development (RAD), dynamic systems development method (DSDM), adaptive software development, and agile methods. It provides an overview of the key characteristics, strengths, weaknesses, and types of projects that each model is best suited for. Tailored SDLC models are recommended to customize processes based on specific project needs and risks.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, spiral, and timeboxing. It provides descriptions of each model including typical steps, strengths, weaknesses, and when each model is best suited. It also discusses capability maturity model (CMM) levels and how changing the lifecycle model can impact development speed, quality, visibility, overhead, risk, and customer relations.
This document provides an overview of the Rational Unified Process (RUP). It discusses the phases of RUP which include inception, elaboration, construction, and transition. It also discusses the core workflows, best practices, and tools used in RUP. The document outlines the dynamic and static structures of RUP, describing the phases, milestones, roles, activities, artifacts, and workflows. It provides details on the objectives and goals of each phase in the RUP lifecycle.
Here are the key characteristics of engineering:
1. Engineers proceed by making a series of decisions, carefully evaluating options and choosing appropriate approaches at each decision point based on tradeoff analysis of costs and benefits.
2. Engineers measure things quantitatively when appropriate, calibrate and validate measurements, and use approximations based on experience.
3. Engineers design things, whether physical systems, software systems, or business processes. Design involves establishing requirements, generating alternative solutions, evaluating alternatives, and choosing a solution.
4. Engineers build or construct things, whether physical prototypes or software systems. They integrate components and ensure everything works together as intended.
5. Engineers test things, whether by simulation, experimentation, or operational trials,
The document discusses several software development life cycle (SDLC) models:
- Waterfall model involves sequential phases of requirements, design, implementation, testing and deployment with defined deliverables for each phase. It works well for stable requirements but lacks flexibility.
- V-shaped model emphasizes verification and validation testing in parallel with development phases. It focuses on planning testing in early phases.
- Prototyping model involves building prototypes to clarify requirements with user feedback before final development.
- RAD model focuses on rapid delivery through time-boxed iterations with customer involvement.
- Incremental model prioritizes and implements requirements in groups to provide early functionality.
- Spiral model combines prototyping, risk analysis
This document provides an overview of software development life cycle (SDLC) models and their comparison. It discusses several SDLC models including waterfall, V-shaped, iterative, prototyping, RAD, spiral and agile. Each model is described in terms of its phases, advantages and disadvantages. The document also presents related work from other scholars and states that while agile was not fully extreme programming, using Scrum principles resulted in return on investment and lower costs. It proposes future work to identify knowledge sharing procedures and user-centered SDLC models that overcome limitations of existing approaches.
This document discusses requirement engineering best practices and tools. It covers emerging trends in requirement engineering like globalization, scale, dynamic requirements, and requirement reuse. Some best practices discussed are iterative development, controlling changes, and verifying quality. Iterative development addresses risks early and encourages user feedback. Controlling changes is important when multiple teams are working in parallel. Verifying quality through testing exposes issues early. Finally, the document provides a link to browse requirement management tools.
The document discusses several software development life cycle (SDLC) models:
1) The waterfall model is a linear model that progresses through requirements, design, implementation, testing, and deployment phases. It works well for projects with stable requirements but lacks flexibility.
2) The V-shaped model emphasizes testing at each phase. It is good for high reliability projects but does not handle changes well.
3) Prototyping models involve building prototypes early for user feedback to refine requirements. This improves accuracy but risks scope creep.
4) Incremental models prioritize requirements and implement them in phases to deliver working functionality early. This reduces risk but requires strong planning.
5) The spiral model incorporates risk analysis and protot
This document provides an overview of techniques for going beyond automated vulnerability scanning when performing security assessments. It discusses the importance of reconnaissance, mapping systems and content, and focusing on manual testing techniques like identifying all areas of user input and fuzzing, abusing features, and combining findings from automated tools. The document then provides examples of manual testing techniques, including feature abuse, combining multiple low-risk findings into a high-risk vulnerability, proxy-based firewall bypassing, file inclusion leading to remote code execution, and email spoofing. It emphasizes going beyond just running scans and focusing on manual techniques.
This document provides an introduction to conceptual modeling in database design. It discusses the stages of database design including data analysis, conceptual design, logical design, and physical design. The conceptual and logical models are explained using an example of a university database. Key aspects of conceptual modeling using the entity-relationship model are covered, including entities, attributes, relationships, keys, participation constraints, and weak/strong entities. Design principles are presented for reducing redundancy and choosing between entities and attributes.
More Related Content
Similar to 1-SoftwareEngineeringandBestPractices.ppt
The document discusses various topics related to software engineering including:
1. It defines software and describes attributes of good software such as functionality, maintainability, dependability, and usability.
2. It explains that software engineering is concerned with all aspects of software production, whereas computer science focuses more on theory and fundamentals.
3. Key attributes of good software are discussed including maintainability, dependability, efficiency, and acceptability.
4. Various software engineering models such as waterfall, prototyping, spiral, and agile models are briefly introduced.
This document discusses software process models. It begins by defining a software process as a structured set of activities required to develop software, including specification, analysis, design, implementation, validation, and evolution. It then describes several prescriptive process models: the waterfall model executes phases sequentially; incremental and evolutionary models iterate phases; and concurrent models perform phases in parallel. The document evaluates the strengths and weaknesses of each model to determine the most appropriate approach based on project requirements and risks.
This document summarizes the key issues with the traditional waterfall software development model based on analyses from the mid-1990s. It discusses that while the theory behind waterfall is sound, in practice it often led to: 1) protracted integration and late design breakages due to unforeseen issues emerging late in the process, 2) late risk resolution focusing too much on early paper artifacts, 3) requirements-driven decomposition ignoring emerging needs, 4) adversarial stakeholder relationships focusing on documents not collaboration, and 5) over-focus on documents and reviews not iterative development. Overall, less than 20% of projects succeeded under this model.
The document discusses software engineering and the Unified Software Development Process (USDP). It describes the USDP which includes phases of inception, elaboration, construction, and transition. Each phase involves iterations where requirements, analysis, design, implementation, and testing are done. The goal of each iteration is to produce an executable increment that is tested and evaluated.
Bridging the Gap Between Development and Regulatory TeamsICS
Bridging the gap between development and regulatory teams requires addressing their different workflows and tendencies.
1) Development teams prefer an agile approach with early iteration, while regulatory teams require a defined process. This leads to a gap if development starts without any process in place.
2) Managing complex, layered software and inevitable late changes is difficult under regulatory constraints. Processes need to assume change and minimize its impact.
3) Individual cognitive overload from balancing technical and regulatory demands can be reduced with simple, clear processes and guidelines.
Bridging the gap requires starting development with even a minimal interim process, keeping obligations simple, leveraging prototypes to reduce late changes, and optimizing document management between teams.
Science and Engineering
Discover
Relationships that exist but are not found
Formulas; chemical composition, d=r*t; calories in fats, carbohydrates, proteins; experimentation;
Astrophysics – origins of the universe
Build
Apply principles of science and mathematics to real needs, commodities, structures, products, etc.
Software Engineering; Software Development
The document discusses several system development life cycle (SDLC) models including waterfall, iterative, incremental, spiral, RAD, concurrent, and unified process models. The key phases of SDLC are defined as preliminary survey, analysis, design, implementation, post-implementation/maintenance, and project termination. Each model takes different approaches such as sequential, iterative, incremental, or concurrent development through the SDLC phases.
This document provides an overview of software engineering. It discusses what software engineering is, common software development process models like waterfall, spiral, agile development, and the Unified Software Development Process (USDP). The USDP follows an iterative approach with phases for inception, elaboration, construction, and transition. Each phase has milestones and the process involves iterations where requirements, design, coding, and testing are done to create executable increments.
This document provides an overview of various software development life cycle (SDLC) models including waterfall, V-shape, prototyping, spiral, iterative, and incremental models. It describes the key stages and characteristics of each model as well as discussing their advantages and disadvantages. The document is intended to teach students about software engineering processes and which models are suited to different types of projects.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, incremental, spiral, rapid application development (RAD), dynamic systems development method (DSDM), adaptive software development, and agile methods. It provides an overview of the key characteristics, strengths, weaknesses, and types of projects that each model is best suited for. Tailored SDLC models are recommended to customize processes based on specific project needs and risks.
The document discusses several software development life cycle (SDLC) models including waterfall, V-shaped, prototyping, rapid application development (RAD), incremental, spiral, and timeboxing. It provides descriptions of each model including typical steps, strengths, weaknesses, and when each model is best suited. It also discusses capability maturity model (CMM) levels and how changing the lifecycle model can impact development speed, quality, visibility, overhead, risk, and customer relations.
This document provides an overview of the Rational Unified Process (RUP). It discusses the phases of RUP which include inception, elaboration, construction, and transition. It also discusses the core workflows, best practices, and tools used in RUP. The document outlines the dynamic and static structures of RUP, describing the phases, milestones, roles, activities, artifacts, and workflows. It provides details on the objectives and goals of each phase in the RUP lifecycle.
Here are the key characteristics of engineering:
1. Engineers proceed by making a series of decisions, carefully evaluating options and choosing appropriate approaches at each decision point based on tradeoff analysis of costs and benefits.
2. Engineers measure things quantitatively when appropriate, calibrate and validate measurements, and use approximations based on experience.
3. Engineers design things, whether physical systems, software systems, or business processes. Design involves establishing requirements, generating alternative solutions, evaluating alternatives, and choosing a solution.
4. Engineers build or construct things, whether physical prototypes or software systems. They integrate components and ensure everything works together as intended.
5. Engineers test things, whether by simulation, experimentation, or operational trials,
The document discusses several software development life cycle (SDLC) models:
- Waterfall model involves sequential phases of requirements, design, implementation, testing and deployment with defined deliverables for each phase. It works well for stable requirements but lacks flexibility.
- V-shaped model emphasizes verification and validation testing in parallel with development phases. It focuses on planning testing in early phases.
- Prototyping model involves building prototypes to clarify requirements with user feedback before final development.
- RAD model focuses on rapid delivery through time-boxed iterations with customer involvement.
- Incremental model prioritizes and implements requirements in groups to provide early functionality.
- Spiral model combines prototyping, risk analysis
This document provides an overview of software development life cycle (SDLC) models and their comparison. It discusses several SDLC models including waterfall, V-shaped, iterative, prototyping, RAD, spiral and agile. Each model is described in terms of its phases, advantages and disadvantages. The document also presents related work from other scholars and states that while agile was not fully extreme programming, using Scrum principles resulted in return on investment and lower costs. It proposes future work to identify knowledge sharing procedures and user-centered SDLC models that overcome limitations of existing approaches.
This document discusses requirement engineering best practices and tools. It covers emerging trends in requirement engineering like globalization, scale, dynamic requirements, and requirement reuse. Some best practices discussed are iterative development, controlling changes, and verifying quality. Iterative development addresses risks early and encourages user feedback. Controlling changes is important when multiple teams are working in parallel. Verifying quality through testing exposes issues early. Finally, the document provides a link to browse requirement management tools.
The document discusses several software development life cycle (SDLC) models:
1) The waterfall model is a linear model that progresses through requirements, design, implementation, testing, and deployment phases. It works well for projects with stable requirements but lacks flexibility.
2) The V-shaped model emphasizes testing at each phase. It is good for high reliability projects but does not handle changes well.
3) Prototyping models involve building prototypes early for user feedback to refine requirements. This improves accuracy but risks scope creep.
4) Incremental models prioritize requirements and implement them in phases to deliver working functionality early. This reduces risk but requires strong planning.
5) The spiral model incorporates risk analysis and protot
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This document provides an introduction to conceptual modeling in database design. It discusses the stages of database design including data analysis, conceptual design, logical design, and physical design. The conceptual and logical models are explained using an example of a university database. Key aspects of conceptual modeling using the entity-relationship model are covered, including entities, attributes, relationships, keys, participation constraints, and weak/strong entities. Design principles are presented for reducing redundancy and choosing between entities and attributes.
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1-SoftwareEngineeringandBestPractices.ppt
1. 30
Software Engineering
and
Best Practices
Sources: Various.
Rational Software Corporation slides,
OOSE textbook slides, Per Kroll talk, How to Fail with
the RUP article, textbooks
Most slides have been modified considerably
2. 30 2
Fundamental Terms / Concepts
►Science and Engineering
Discover
►Relationships that exist but are not found
►Formulas; chemical composition, d=r*t; calories in
fats, carbohydrates, proteins; experimentation;
►Astrophysics – origins of the universe
Build
►Apply principles of science and mathematics to real
needs, commodities, structures, products, etc.
►Software Engineering; Software Development
3. 30 3
Fundamental Concepts / Terms (2)
►Software Engineering; Software Development
►Job positions:
Software developer
Programmer
Software engineer
Analyst / Programmer
Senior … what have you…
4. 30 4
What is Software Engineering?
►The process of solving customers’ problems
by the systematic development and evolution
of large, high-quality software systems within
cost, time and other constraints
►Note:
Process, systematic (not ad hoc), evolutionary…
Constraints: high quality, cost, time, meets user
requirements
5. 30 5
Analysis of the Definition:
► Systematic development and evolution
An engineering process involves applying well understood techniques in a
organized and disciplined way
Many well-accepted practices have been formally standardized
► e.g. by the IEEE or ISO
Most development work is evolutionary
► Large, high quality software systems
Software engineering techniques are needed because large systems cannot be
completely understood by one person
Teamwork and co-ordination are required
Key challenge: Dividing up the work and ensuring that the parts of the system
work properly together
The end-product that is produced must be of sufficient quality
► Cost, time and other constraints
Finite resources
The benefit must outweigh the cost
Others are competing to do the job cheaper and faster
Inaccurate estimates of cost and time have caused many project failures
6. 30 6
Comments:
► $250 billion annually in US.
► Over 175,000 projects!
► Complexity, size, distribution, importance push our
limits.
► Business pushes these limits:
Great demands for rapid development and deployment
► Incredible pressure: develop systems that are:
On time,
Within budget,
Meets the users’ requirements
► Figures in the late 90s indicated that at most
70% of projects completed
Over 50% ran over twice the intended budget
$81 billion dollars spent in cancelled projects!!
► Getting better, but we need better tools and
techniques!
7. 30 7
What Happens in Practice
Sequential activities: (Traditional ‘Waterfall’ Process)
Requirements Design Code Integration Test
Late Design
Breakage
100%
Project Schedule
Development
Progress
(%
coded)
Original
Target Date
Integration
Begins
Risk inadequately addressed
Process not receptive to Change
Problems not really ‘seen’
until near delivery date!
Until then, ‘all is well…’
Big Bang approach – full delivery
Long development cycles…
Little user involvement, etc. etc…
8. 30 8
Symptoms of Software
Development Problems
► Inaccurate understanding of end-user needs
► Inability to deal with changing requirements
► Modules that don’t fit together (integration)
► Software that’s hard to maintain or extend (brittle)
► Late discovery of serious project flaws (integration)
► Poor software quality (architecture, risks unanticipated…)
► Process not responsive to Change (Gantt Charts…)
► Unacceptable software performance
► Team members in each other’s way, unable to reconstruct who
changed what, when, where, why (software architecture, …
► …and we could go on and on…
9. 30 9
► We need a process that
Will serve as a framework for large scale and small
projects
Adaptive – embraces ‘change!’
►Opportunity for improvement not identification of failure!
Iterative (small, incremental ‘deliverables’)
Risk-driven (identify / resolve risks up front)
Flexible, customizable process (not a burden; adaptive to
projects)
Architecture-centric (breaks components into ‘layers’ or
common areas of responsibility…)
Heavy user involvement
► Identify best ways of doing things – a better process
– acknowledged by world leaders…
Need a Better Hammer!
10. 30 10
Develop Iteratively
Control Changes
Use
Component
Architectures
Manage
Requirements
Model
Visually
Verify
Quality
Best Practices of Software
Engineering
Know these!
11. 30 11
Symptoms
end-user needs
changing
requirements
modules don’t fit
hard to maintain
late discovery
poor quality
poor performance
colliding developers
build-and-release
Root Causes
insufficient requirements
ambiguous
communications
brittle architectures
overwhelming complexity
undetected
inconsistencies
poor testing
subjective assessment
waterfall development
uncontrolled change
insufficient automation
Best Practices
develop iteratively
manage requirements
use component
architectures
model the software
visually
verify quality
control changes
Addressing Root Causes
Eliminates the Symptoms
Symptoms of problems can be traced to having Root Causes.
Best Practices are ‘practices’ designed to address the root causes of software problems.
12. 30 12
Practice 1: Develop Software
Iteratively
Develop Iteratively
Control Changes
Use
Component
Architectures
Manage
Requirements
Model
Visually
Verify
Quality
Considered by many practitioners to be the most significant of the six
13. 30 13
Practice 1: Develop Software Iteratively
►Until recently, developed under assumption -
most requirements can be identified up front.
►The research deconstructing this myth includes
work by Capers Jones. (See next slide) In this
very large study of 6,700 projects, creeping
requirements — those not anticipated near the
start—are a very significant fact of software
development life, ranging from around 25% on
average projects up to 50% on larger ones.
14. 30 14
Look up a definition of ‘Function Points.’
15. 30 15
Interestingly,
► An initial design will likely be flawed with respect to its key
requirements. Requirements rarely fully known up front!
► Late-phase discovery of design defects results in costly
over-runs and/or project cancellation
Oftentimes requirements change – even during implementation!
► While large projects are more prone to cost overruns,
medium-size/small projects are vulnerable to cancellation.
► The key reasons continue to be
poor project planning and management,
shortage of technical and project management expertise,
lack of technology infrastructure,
disinterested senior management, and
inappropriate project teams.”
16. 30 16
Waterfall Delays Risks
R
I
S
K
T I M E
Integration
System
Test
Code
Design
Requirements
Waterfall risk
Walker Royce, 1995
17. 30 17
Iterative Development
• Earliest iterations address greatest risks
• Each iteration produces an executable release
• Each iteration includes integration, test, and assessment!
• Objective Milestones: short-term focus; short term successes!
Iteration 1 Iteration 2 Iteration 3
18. 30 18
Accelerate Risk Reduction
Iterative
T I M E
Iteration Iteration Iteration Iteration Iteration
Risk reduction
R
I
S
K
Waterfall risk
Walker Royce, 1995
19. 30 19
Iterative Development Characteristics
► Critical risks are resolved before making
large investments
► Initial iterations enable early user feedback
Easy to resolve problems early.
Encourages user feedback in meaningful ways
► Testing and integration are continuous –
assures successful integration (parts all fit)
Continuous testing.
► Objective milestones provide short-term focus
► Progress measured by assessing implementations
► Partial implementations can be deployed
Waterfall method – no delivery
Incremental development? May be some great
values in delivering key parts of application.
Critical components delivered first?
► No big-bang approach!
20. 30 20
UP Lifecycle Graph – Showing Iterations
In an iteration,
you may walk
through all
disciplines
C
O
N
T
E
N
T
S
T
R
U
C
T
U
R
E
T I M E
STUDY THIS!!!
21. 30 21
Executable Releases
Unified Process Iterations and Phases
An iteration is a distinct sequence of activities
with an established plan and evaluation criteria,
resulting in an ‘executable release.’
(There is a lot of very important ‘key’ terminology used here…
(cycle, iteration, phase, milestones, core disciplines, content
of iterations, etc….)
Preliminary
Iteration
Architect.
Iteration
Architect.
Iteration
Devel.
Iteration
Devel.
Iteration
Devel.
Iteration
Transition
Iteration
Transition
Iteration
Elaboration Construction Transition
Inception
22. 30 22
Enables and encourages user
feedback
Serious misunderstandings
evident early in the life cycle
Development focuses on critical
issues – break it down!
Objective assessment thru
testing and assessment
Inconsistencies detected early
Testing starts earlier –
continuous!
Risks identified and addressed
early - via planned iterations!
Problems Addressed by Iterative Development
Root Causes Solutions
Insufficient requirements
Ambiguous
communications
Brittle architectures
Overwhelming
complexity
Subjective assessment
Undetected
inconsistencies
Poor testing
Waterfall development
Uncontrolled change
Insufficient automation
23. 30 23
No Free Lunch- Traps Abound…
► Major impacts on Project Managers, though….
► Trap: When the initial risks are mitigated, new ones emerge
Do not do just the easy stuff, to look good.
Keep re-planning based on all new information.
► Trap: Remember ‘some’ Rework enables you to enhance your solution
Accommodate change early in the project
► Trap: Iterative development does not mean never to commit to a solution
► Monitor ‘scrap and rework’
► Trap: Must Control “requirement creep, ” however… Some
clients will now naturally recognize many ‘musts…’
24. 30 24
Many Traps in Iterative Development
Here is another trap: Too long initial iteration
► Winning is fun. Winning teams work better than loosing teams
► Better to have a short initial iteration, than one too long
Cut scope if necessary (much more later)
► Avoid ‘analysis-paralysis’ by time-boxing; you can enhance
in later iterations (more later)
► Establish an even rhythm for project (at least w/i a phase)
► Focus on results and deliverables, not activities
25. 30 25
Iterations Are Time-boxed
►Work is undertaken within an iteration.
►The iteration plan defines the artifacts to
be delivered, roles and activities.
►An iteration is clearly measurable.
►Iterations are risk-driven
►Iterations are planned.
►Iterations are assessed!
►Generally, initial iterations (in Construction)
based on high risk and core functionalities!
26. 30 26
The Iteration Plan Defines….
The deliverables for
that iteration.
The to do list for the
team members
artifacts
27. 30 27
Problem:
Fixed Plans Produced Upfront – Not
Real Practical!
►Yet, senior management wants firm, fixed plans!
Part of their culture / upbringing/ experience
Necessary for ‘planning’ budgeting, etc. of resources, projects…. BUT:
►Trap: Fine-grained planning from start to end?
Takes too much time
Frustrating as change occurs (and it will), if plans too fine-grained.
►Know that: Projects typically have some degree of uncertainty
►This makes detailed plans for the entire project meaningless
►Does not mean that we should not plan
28. 30 28
Solution:
Plan With Evolving Levels of Detail
Current Iteration
Next Iteration
Phases and major milestones
What and when
Iterations for each phase
Number of iterations
Objectives and Duration
One For Entire Project
Fine-grained Plans:
Iteration Plans
Coarse-grained Plan:
Software Development Plan
Iterative Development does not mean less work and shorter schedule
It is about greater predictability
29. 30 29
Progress is made against MILESTONES
►In the Unified Process:
Each phase is defined by a milestone.
Progress is made by passing milestones.
Milestones measure success
►Phases - NOT TIMEBOXED.
►Iterations ARE TIMEBOXED.
Inception Elaboration Construction Transition
Major Milestones
30. 30 30
Summary
►Much more about iteration and iteration
planning later in the course…
►You will see some of these again – and,
more importantly, use this information in
your own iteration planning.