The document discusses project management and software development project management. It defines project management as the application of knowledge, skills, and techniques to execute projects effectively and efficiently. It outlines different software development life cycle models like waterfall, V-shaped, spiral, and incremental. It also discusses necessary project management skills, common reasons for project failure, and tips for ensuring project success, such as making decisions based on shared information and using good engineering practices from the start.
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SDLC and Quality Standard
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Phases of SDLC
SDLC Models
For more information: https://www.mindsmapped.com/courses/quality-assurance/qa-software-testing-training-for-beginners/
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What is Agile Methodology?
AGILE methodology is a practice that promotes continuous iteration of development and testing throughout the software development lifecycle of the project. Both development and testing activities are concurrent unlike the Waterfall model
List of Software Development Model and MethodsRiant Soft
RiantSoft a Software Development Company derived the most useful and different types of Software Development Model for the users who want to know the development process. RiantSoft is specialized in custom software development with latest cutting edge technologies.
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4. What is Project Management?
Necessary skills
Software development project management
and related techniques
Failure and Success
Q&A
4
5. “Go ahead and do it” approach
Run the business / operations approach
Project approach
5
6. Project - Planned set of interrelated tasks
to be executed over a fixed period and
within certain cost and other limitations.
◦ New Airplane
◦ New Cell Phone
◦ New Software
6
7. Process planning and control
Timely risk identification and mitigation
Grater assurance in the positive result
7
8. Project Management is the application of
knowledge, skills and techniques to execute
projects effectively and efficiently.
◦ project management brings a unique focus shaped by
the goals, resources and schedule of each project.
8
9. Until 1900 projects were managed as "go ahead
and do it" by the chief engineers
1900 – 1950 – a transition period. Henry Gantt
and Frederick Winslow Taylor developed the
structured processes and tools: WBS standing for
“Work breakdown structure” and Gantt chart
At 1950 project management became structured.
Fields that could be considered as starting point:
civil engineering and military
IMPA – 1967 in Europe and PMI – 1969 in US
9
12. •Define Result
•Define
Business case
and
Justification
•Define high
level
milestones
•Identify
constraints
and costs
•Identify
Sponsor and
stakeholders
•Define
Success &
Failure
•Identify
Deliverables
and WBS
•Scope
management
•Cost
management
•Resource
management
•Risk and
response
planning
•Estimating
time and cost
for activities
•Direct and
Manage
Project
execution
•Manage
expectations
•Distribute
Information
•Manage team
•Quality
Assurance of
deliverables
•Measuring
the ongoing
project
activities
•Monitoring
the project
Scope, cost
and other
variables
•Identify and
Address Risks
•Lessons
learned
•Project
transition
12
Initiating Planning Executing
Monitoring
& Control
Closing
13. Software Development Life Cycle - Software development life
cycle models describe phases of the software cycle and
the order in which those phases are executed:
Waterfall model
V-Shaped model
Spiral model
Incremental model
Set of general project stages:
13
Requireme
nts
Design TransitionImplementation Testing
Initiating Planning Executing
Monitoring
& Control
Closing
15. Advantages Disadvantages
Simple and easy to use.
Easy to manage due to the rigidity of the
model – each phase has specific
deliverables and a review process.
Phases are processed and completed one
at a time.
Works well for smaller projects where
requirements are very well understood.
- Adjusting scope during the life cycle can kill a
project
- No working software is produced until late during
the life cycle.
- High amounts of risk and uncertainty.
- Poor model for complex and object-oriented
projects.
- Poor model for long and ongoing projects.
- Poor model where requirements are at a
moderate to high risk of changing.
15
16. Advantages
Simple and easy to use
Each phase has specific deliverables
Higher chance of success over the waterfall model
due to the development of test plans early on during
the life cycle
Works well for small projects where requirements are
easily understood
Disadvantages
- Very rigid, like the waterfall model
- Little flexibility and adjusting scope is difficult and
expensive
- Software is developed during the implementation
phase, so no early prototypes of the software are
produced
- Model doesn’t provide a clear path for problems
found during testing phases
16
17. Advantages Disadvantages
Generates working software quickly and early
during the software life cycle
More flexible – less costly to change scope and
requirements
Easier to test and debug during a smaller
iteration
Easier to manage risk because risky pieces are
identified and handled during its iteration
Each iteration is an easily managed milestone
- Each phase of an iteration is rigid and do not
overlap each other
- Problems may arise pertaining to system
architecture because not
all requirements are gathered up front for the
entire software life
cycle.
17
18. Advantages
High amount of risk analysis
Good for large and mission-critical projects
Software is produced early in the software life
cycle
Disadvantages
- Can be a costly model to use
- Risk analysis requires highly specific expertise
- Project’s success is highly dependent on the risk
analysis phase
- Doesn’t work well for smaller projects
18
20. SW Projects typically fail
when:
◦ People begin programming
before they understand the
problem
◦ The team has an unrealistic
idea about how much work is
involved
◦ Defects are injected early but
discovered late
◦ Programmers have poor habits
– and they don’t feel
accountable for their work
◦ Define Failure!!!
20
21. How can we make sure a project
to succeed:
◦ Make sure all decisions are based on
openly and timely shared
information
◦ Don’t second-guess your team
members’ expertise
◦ Introduce software quality from
the very beginning of the project
◦ Don’t impose an artificial hierarchy
on the project team
◦ Remember that the fastest way
through the project is to use good
engineering practices
◦ Define sucess !!!
21
22. Software Development Life Cycle Models, Raymond
Lewallen, 2005, http://codebetter.com/raymondlewallen/2005/07/13/software-
development-life-cycle-models/
Applied Software Project Management, Andrew Stellman & Jennifer
Greene, 2005, http://www.stellman-greene.com/aspm/content/view/28/33/
22
There are tons of models, and many companies adopt their own, but all have very similarpatterns.Each phase produces deliverables required by the next phase in thelife cycle. Requirements are translated into design. Codeis producedduring implementation that is driven by the design. Testing verifies the deliverable of the implementation phase againstrequirements.RequirementsBusiness requirements are gathered in this phase. This phaseis the main focus of the project managers and stake holders. Meetings with managers, stake holders and users are held in order todetermine the requirements. Who is going to use the system? How will they use thesystem? What data should be input into thesystem? What data should be output by the system? These aregeneral questions that getanswered during a requirements gatheringphase. This produces a nice big list of functionality that thesystem should provide, which describes functions the system shouldperform, business logic that processes data, what data is stored andused by the system, and how theuser interface should work. Theoverall result is the system as a whole and how it performs, not how itis actually going to do it.DesignThe software system design is produced from the results of therequirements phase. Architects have the ball in their courtduring this phaseand this is the phase in which their focuslies. This is where the details on how the system will work isproduced. Architecture, includinghardware and software,communication, software design (UML is produced here) are all part ofthe deliverables of a design phase.ImplementationCode is produced from the deliverables of the design phase duringimplementation, and this is the longest phase of the softwaredevelopment life cycle. For a developer, this is the main focusof the life cycle because this is where the code is produced. Implementationmy overlap with both the design and testingphases. Many tools exists (CASE tools) to actually automate theproduction of code usinginformation gathered and produced during thedesign phase.TestingDuring testing, the implementation is tested against therequirements to make sure that the product is actually solving theneeds addressedand gathered during the requirements phase. Unittests and system/acceptance tests are done during this phase. Unit tests act on a specificcomponent of the system, while systemtests act on the system as a whole.So in a nutshell, that is a very basic overview of the generalsoftware development life cycle model.
Waterfall ModelThis is the most common and classic of life cycle models, alsoreferred to as a linear-sequential life cycle model. It is verysimple tounderstand and use. In a waterfall model, each phasemust be completed in its entirety before the next phase canbegin. At the end of each phase, a review takes place todetermine if the project is on the right path and whether or not tocontinue or discard the project. Unlikewhat I mentioned in thegeneral model, phases do not overlap in a waterfall model.
V-Shaped ModelJust like the waterfall model, the V-Shaped life cycle is asequential path of execution of processes. Each phase must becompleted beforethe next phase begins. Testing is emphasized inthis model more so than the waterfall model though. The testingprocedures are developedearly in the life cycle before any coding isdone, during each of the phases preceding implementation.Requirements begin the life cyclemodel just like the waterfallmodel. Before development is started, a system test plan iscreated. The test plan focuses on meeting thefunctionalityspecified in the requirements gathering.The high-level design phase focuses on system architecture anddesign. An integration test plan is created in this phase as wellin order to test the pieces of the software systems ability to worktogether.The low-level design phase is where the actual software componentsare designed, and unit tests are created in this phase as well.The implementation phase is, again, where all coding takesplace. Once coding is complete, the path of execution continuesup the right sideof the V where the test plans developed earlier arenow put to use.
Incremental ModelThe incremental model is an intuitive approach to the waterfallmodel. Multiple development cycles take place here, making thelife cycle a“multi-waterfall” cycle. Cycles are divided up intosmaller, more easily managed iterations. Each iteration passesthrough the requirements,design, implementation and testing phases.A working version of software is produced during the firstiteration, so you have working softwareearly on during the softwarelife cycle. Subsequent iterations build on the initial softwareproduced during the first iteration.Spiral ModelThe spiral model is similar to the incremental model, with moreemphases placed on risk analysis. The spiral model has fourphases: Planning, Risk Analysis, Engineering and Evaluation. Asoftware project repeatedly passes through these phases in iterations(called Spirals in this model). The baseline spiral, starting inthe planning phase, requirements are gathered and risk isassessed. Each subsequent spiralsbuilds on the baseline spiral.Requirements are gathered during the planning phase. In therisk analysis phase, a process is undertaken toidentify risk andalternate solutions. A prototype is produced at the end of therisk analysis phase.Software is produced in the engineering phase, along with testing atthe end of the phase. The evaluation phase allows the customer toevaluate the output of the project to date before the project continuesto the next spiral.In the spiral model, the angular component represents progress, and the radius of the spiral represents cost.
Spiral ModelThe spiral model is similar to the incremental model, with moreemphases placed on risk analysis. The spiral model has fourphases: Planning, Risk Analysis, Engineering and Evaluation. Asoftware project repeatedly passes through these phases in iterations(called Spirals in this model). The baseline spiral, starting inthe planning phase, requirements are gathered and risk isassessed. Each subsequent spiralsbuilds on the baseline spiral.Requirements are gathered during the planning phase. In therisk analysis phase, a process is undertaken toidentify risk andalternate solutions. A prototype is produced at the end of therisk analysis phase.Software is produced in the engineering phase, along with testing atthe end of the phase. The evaluation phase allows the customer toevaluate the output of the project to date before the project continuesto the next spiral.In the spiral model, the angular component represents progress, and the radius of the spiral represents cost.