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Introduction to Information Systems Analysis Systems Analysis Joint Application Development

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Title: Introduction to Information Systems Analysis Systems Analysis Joint Application Development


1
Introduction to InformationSystems
AnalysisSystems AnalysisJoint Application
Development
  • INFO 503
  • Glenn Booker

2
What is System Analysis?
  • System Analysis (logical design) is the
    dissection of a system into pieces (subsystems),
    and the study of how those pieces interact and
    work
  • It is followed by System Design (Synthesis),
    where you take the pieces and put them back
    together
  • Terminology varies, but thats ours!

3
FAST Systems Analysis
  • The FAST model covers systems analysis in the
    first four phases
  • Scope Definition Survey and plan system scope
  • Problem Analysis Study the existing system and
    similar ones
  • Requirements Analysis Definition of requirements
    for the new system
  • Logical Design to verify the requirements

4
Systems Analysis Methods
  • Model-Driven Analysis Approaches
  • Structured Analysis
  • Information Engineering
  • Object-Oriented Analysis (OOA)
  • Accelerated Analysis Approaches
  • Discovery Prototyping
  • Rapid Architected Analysis

5
Structured Analysis
p. 188 (122)
  • Structured analysis focuses on examining the
    processes which are used by the system to model
    business requirements
  • Models include processes, inputs, outputs, and
    files - such as a Data Flow Diagram (DFD)
  • Models describe how the system responds to
    various actions (such as placing an order)

6
Information Engineering
  • Information Engineering focuses more on the data
    for an organization, with lesser concern for
    processes
  • Develops the data model first (Entity
    Relationship Diagram, or ERD) then will create
    the process model (e.g. a DFD) and deal with
    communication issues
  • Both structured analysis and information
    engineering create an ERD and a DFD the
    difference is which model is done first

7
Object Oriented Analysis
  • In contrast, object oriented analysis defines
    objects, who may contain data
  • Data is only obtained or manipulated through
    methods
  • Methods are little programs, associated with a
    class, which perform a very specific function
  • Object oriented languages include C, C, Java,
    Smalltalk (the first!), and Ada

8
Discovery Prototyping
  • Prototyping develops partial, but working,
    versions of a system or application
  • Feasibility prototyping is to test the
    technologys capabilities (Is this tool capable
    of doing what we want?)
  • Discovery prototyping is to refine the
    requirements by presenting them visually (Is
    this content correct?)
  • Must accompany other design methods

9
Rapid Architected Analysis
  • Uses existing systems to develop system models
  • May use reverse engineering to determine what
    the existing system does (i.e. create models
    from code), then improve on the existing system
    based on its current structure
  • Often involves CASE tools

10
Requirements Discovery Methods
  • All analysis methods depend on determining system
    requirements, using one or more of the following
    methods
  • Fact-Finding Techniques (see last week)
  • Joint Requirements Planning (JRP)
  • Part of Joint Application Design (JAD)
  • Uses trained facilitator to run a JRP workshop
  • Business Process Redesign

11
Joint Application Development
  • JAD uses participative development, and
    complements both model-driven and accelerated
    development
  • Joint Requirements Planning (JRP) is that part of
    JAD which helps to define the requirements
    through collaborative discussion among
    stakeholders

12
Joint Application Development
  • Joint Application Development (JAD) is an
    intense, structured group activity to reach
    agreement on system requirements and high level
    design
  • Like any other tool, it may be used or not
  • Blends disparate views to help reach agreement,
    and reduces fact-finding time

13
JAD Champion
  • JAD sessions are typically all-consuming, and may
    take from 1-10 days
  • Sponsor champions the JAD session
  • Plans the attendees
  • Picks the JAD Leader
  • Chooses the time and place of the session
  • Kicks off and closes the session

14
JAD Leader
  • The JAD Leader may be an outsider who
  • Can communicate well
  • Can negotiate and resolve conflict
  • Understands the business environment
  • Can organize and manage a group
  • Is impartial
  • Does not report to any of the JAD participants

15
JAD Participants
  • The Leader facilitates the session
  • Users, analysts, and managers are common
    participants
  • Someone is appointed scribe to record what was
    discussed and distribute it quickly
  • IS people may help provide a sanity check of the
    ideas discussed

16
Planning JAD
  • Planning a JAD session must include definition of
    high level scope and requirements for each
    session
  • Select a remote location for the sessions, to
    improve focus on the task at hand
  • Select participants who can contribute specific
    relevant knowledge

17
JAD Agenda
  • Agenda must define the scope of discussion and
    how much time is allocated to each
  • Opening to define ground rules and expectations
  • Body to actually get the work done
  • Conclusion to summarize the key points and
    decisions, and remind all of unresolved issues
  • Stay focused, yet strive for consensus!

18
JAD Benefits
  • Encourages ownership of the decisions reached
  • Reduces time for early development, primarily by
    working out different needs and perspectives
    together
  • May blend prototyping benefits as well

19
Business Process Redesign
  • Business process redesign (or reengineering)
    focuses on improving the business processes,
    regardless of existing computer technology usage
  • Study each process for bottlenecks, value added,
    wasted effort, and chances for streamlining
  • Often adds automation of processes

20
FAST Analysis Approach
  • Now well start to outline the contents of the
    FAST methodology in detail
  • Scope Definition Phase
  • Problem Analysis Phase
  • Requirements Analysis Phase
  • Logical Design Phase

21
Scope Definition (Study) Phase
  • 1.1 Identify baseline problems and opportunities
  • 1.2 Negotiate baseline scope (may be concurrent
    with 1.1)
  • 1.3 Assess baseline project worthiness
  • 1.4 Develop baseline schedule and budget
  • 1.5 Communicate the project plan

22
1.1 Identify baseline problems and opportunities
  • Evaluate each problem, opportunity, and
    directive write a Problem Statement
  • Done by system owner, user, and analysts using
    fact finding methods and keen interpersonal
    skills
  • Determine urgency, visibility, benefits,
    priority, and optionally, possible solutions

p. 196 (132)
23
1.2 Negotiate baseline scope
  • Determine the preliminary scope of the system and
    the project
  • Involves system owner and analysts, others as
    needed
  • Write a Prelim. Problem Statement with Scope
    identify types of data and existing business
    functions affected, system context for
    interfaces, and operating locations

24
1.3 Assess baseline project worthiness
  • Based on the projects Problem Statement, system
    owners determine if project is worth continuing
  • Full feasibility analysis not yet possible
  • Result is a Yes/No decision whether to proceed,
    or negotiation of the scope before approval is
    given

25
1.4 Develop baseline schedule and budget
  • Develop a project plan, containing an overall
    plan for the entire project, and a detailed plan
    for the first phase of the project (See also INFO
    638)
  • Done by project manager
  • Define phases for the project, key activities for
    each phase, and the personnel needed

26
1.5 Communicate the project plan
  • Present the project plan to an executive
    steering body or whoever is needed to approve
    it
  • This activity also presents the project plan
    (except sensitive parts) to all who will be
    involved in it, often via a kickoff meeting
  • Results in a project charter, containing the
    results of all previous tasks

27
Problem Analysis (Study) Phase
  • 2.1 Understand the problem domain
  • 2.2 Analyze problems and opportunities
  • 2.3 Analyze business processes (BPR only)
  • 2.4 Establish system improvement objectives
  • 2.5 Update or refine the project plan
  • 2.6 Communicate findings and recommendations

28
2.1 Understand the problem domain
  • Create models of the existing system
  • Define the data, processes, interfaces, and
    geography of the existing system in 1-2 page
    diagrams or short descriptions
  • Avoid too much detail (analysis paralysis) by
    avoiding perfectionism
  • Ensure everyone agrees on the models

29
2.2 Analyze problems and opportunities
  • Identify every problem, opportunity (including
    existing good features you want to keep) and
    directive
  • This refines and expands on the earlier problem
    and opportunity analysis
  • Conduct cause and effect analysis of each problem
    and opportunity, without seeking a solution yet,
    using the PIECES structure

30
2.2 Analyze problems and opportunities
  • Consider what has caused each problem, and
    describe the effect of the problem on your
    business
  • Focus on business functions and system
    capabilities no technology yet!
  • Define effects of new opportunities how will
    they affect the system?

31
2.3 Analyze business processes
  • This task applies to BPR projects only
  • Lead by an analyst no builders or designers
  • Create process analysis models (like DFD)
  • Show the volume of data and response or
    processing times
  • Identify bottlenecks by looking at the cost and
    value-added of each function
  • What loss if a process were removed?

32
2.4 Establish system improvement objectives
  • Define objectives to measure system improvement
    and development constraints
  • Predict the effect of fixing each problem, and
    taking advantage of each opportunity
  • Remember not to describe specific implementation
    technology (how its done)
  • Add results to the cause and effect analysis
    (Fig. 5-11 on page 207 (Fig. 4.12))

33
2.4 Establish system improvement objectives
  • Make sure you can measure the amount of
    improvement or benefit
  • Objectives describe system success criteria
  • Avoid writing detailed requirements for the
    system at this point (generate blah report)
  • Focus on what type of system capability will be
    created or enhanced, and how that will help
    improve the business value of the system

34
2.4 Establish system improvement objectives
  • Avoiding specific requirements here allows more
    flexibility later
  • Identify constraints, which may be due to
    schedule, cost, technology, or policy (including
    legal directives)
  • The only place system technology details might
    belong in Fig. 5-11 (4.12) is under the
    constraints column

35
2.5 Update or refine the project plan
  • Based on better understanding of project goals
    and objectives, update the project plan
  • Re-assess the scope determine if all objectives
    can be met
  • Re-estimate time for each activity, and refine
    the overall project plan
  • If needed, re-negotiate project scope with system
    owner

36
2.6 Communicate findings and recommendations
  • The System Improvement Objectives and
    Recommendations report should be written, and
    presented to the system owners
  • Summarize all analysis results so far
  • The owners make the final decision as to the
    scope of the project, or cancel it
  • Then communicate the decision to all affected
    project team members

37
Requirements Analysis (Definition) Phase
  • 3.1 Identify and express system requirements
  • 3.2 Prioritize system requirements
  • 3.3 Update or refine the project plan
  • 3.4 Communicate the requirements statement

38
3.1 Identify and express system requirements
  • Describe all system requirements, based on
    system improvement objectives
  • Include both functional and non-functional
    requirements
  • Functional requirements are the activities and
    services performed by the system, such as inputs,
    outputs, processes, and stored data needed to
    meet the system objectives

39
3.1 Identify and express system requirements
  • For each system objective
  • Identify events or inputs to which the system
    must respond
  • Identify how the inputs are processed, and what
    decisions need to be made
  • Identify outputs which result, and any other
    information which is produced along the way
  • Identify data which needs to be stored

40
3.1 Identify and express system requirements
  • Nonfunctional requirements are other features and
    constraints performance (e.g. speed,
    throughput), cost, schedule, controls,
    documentation, training, and constraints
  • Look out for growth in the system scope
  • Introduce system architect as new analyst
  • Creates a draft requirements statement

41
3.2 Prioritize system requirements
  • Categorize requirements as mandatory, desirable,
    or optional, then rank each within those
    categories
  • Stage (timebox) the requirements to ensure the
    highest priority ones are built first
  • Define system version history to implement
    features in order of descending priority

42
3.3 Update or refine the project plan
  • Update the project plan to
  • Reflect changes in project scope, and having
    prioritized requirements
  • Include the detailed schedule for implementation
    of features
  • Create a Requirements Statement
  • Get approval to proceed from owneror sponsor

43
3.4 Communicate the requirements statement
  • Once the requirements have been agreed upon,
    communicate them to affected members of the
    project team and the user or customer community
    (if applicable)

44
Requirements Management
  • Requirements are never static!
  • Need to have clear processes for managing
    requirements
  • Is it a new requirement, or refinement of an old
    one?
  • Analyzing and prioritizing new requirements
  • Approving new requirements
  • Communicating new requirements

45
Logical Design Phase
  • Is part of Requirements Analysis phase in 4th
    edition of text
  • 4.1a Structure functional requirements and/or
  • 4.1b Prototype functional requirements
  • 4.2 Validate functional requirements
  • 4.3 Define acceptance test cases

46
4.1a Structure functional requirements
  • Create a logical (essential) model of the
    proposed system
  • Often use existing models as foundation for the
    new ones
  • May need to create data, process, interface, and
    distribution models or object models, depending
    on the analysis strategy

47
4.1b Prototype functional requirements
  • Prototyping is sometimes an alternative or a
    prerequisite to system modeling (step 4.1a)
  • Typically includes preparing sample inputs and
    outputs, then having users review them
  • Usually helps most with definition of functional
    requirements

48
4.2 Validate functional requirements
  • Trace system models back to the requirements, to
    ensure every requirement is implemented somewhere
  • Also look for duplication and redundancy
  • Check where nonfunctional requirements apply to
    functional requirements
  • Review with owners and users

49
4.3 Define acceptance test cases
  • While not required this early, outlining the test
    cases for system testing can help verify that the
    requirements will fulfill the intended functions
  • System test cases often mimic user activities,
    such as use cases or scenarios
  • Test cases should be able to help prove whether
    objectives were met

50
Next FAST Phases
  • The Decision Analysis Phase will be discussed in
    week 5 with the other design phases
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