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Software Effort Estimation based on Use Case Points

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Introduction. Estimation of cost and schedule in software projects is based on the prediction of size of the future system. Reliable early estimates difficult to obtain – PowerPoint PPT presentation

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Title: Software Effort Estimation based on Use Case Points


1
Software Effort Estimation based on Use Case
Points
  • Chandrika Seenappa
  • 30th March 2015
  • Professor Hossein Saiedian

2
Agenda
  • Introduction
  • Background
  • Use Case Point Estimation Method
  • Case Study
  • Conclusions

3
Introduction
  • Estimation of cost and schedule in software
    projects is based on the prediction of size of
    the future system
  • Reliable early estimates difficult to obtain
  • Lack of detailed information about future system
    at early stage
  • Bidding for a contract or determining whether a
    project is feasible in the terms of a
    cost-benefit analysis
  • Traditional cost model
  • software size as input parameter, and then apply
    a set of adjustment factors to compute an
    estimate of total effort
  • Object-oriented software production
  • Object points measure the size of object-oriented
    software and are derived from class, structure,
    messages and use cases

4
Background-COCOMO
  • Software cost estimation models developed in the
    60s and 70s
  • Used the Line of Code (LOC) or Delivered Source
    Instruction (DSI) metrics
  • COCOMO model used the DSI metric
  • Problem with DSI metric
  • Lack of precise definition of LOC or DSI
  • No reasonable methodology to estimate upfront the
    number of source code lines or instructions

5
Background-COCOMO (Cont.)
  • Metrics defined for procedural, possibly
    line-oriented languages such as FORTRAN and COBOL
  • Notion of LOC or DSI difficult to define
    precisely for block structured languages such as
    Pascal, C etc.

6
Background-Function Points
  • Albrecht came up with the Function Point (FP)
    metrics in 1979
  • FP uses five parameters
  • number of inputs
  • number of outputs
  • number of inquiries
  • number of internal logical files
  • number of external logical files
  • FP is based on the number of interactions and the
    size of data to be used in the end product
  • Eliminated the need for lines of code or
    delivered source instructions

7
Background-Function Points (Cont.)
  • Widely used because of its independence on
    development platform and environment
  • Not applicable to software products developed
    using the object-oriented methodology
  • Notion of internal and external logical files
    harder to identify in the object-oriented
    paradigm.
  • Not applicable for software development using
    shorter development cycles
  • Difficult to apply and count function points to
    such software

8
Background-Use Case Point
  • Gustav Karner came up with the notion of Use Case
    Point (UCP) in 1993
  • Estimates software development effort during
    early phase of software
  • Major challenge- no standard format for
    describing use cases
  • UCP method adjust the use case points based on a
    number of technical and environmental factors
  • Technical factors are related to non-functional
    requirements on the system
  • Environmental factors characterize the
    development team and its environment

9
Use Case Point Estimation Method
  • UCP is measured by counting the number of actors
    and transactions included in use case model that
    defines the functional scope of the project to be
    developed
  • A transaction is an event that occurs between an
    actor and the target system
  • The event being performed entirely or not at all
  • Use case model mainly consists of two documents,
    system or subsystem documents and use case
    documents
  • System name, risk factors, system-level use case
    diagram, architecture diagram, subsystem
    descriptions, use case name, brief description,
    context diagram, preconditions, flow of events,
    post conditions, subordinate use case diagrams
    etc.

10
Use Case Point Estimation Method (Cont.)
  • Main elements to calculate UCP
  • System level use case diagram
  • One or more use case diagrams showing all the use
    cases and actors in the system
  • Flow of events
  • Section for the normal path and each alternative
    path in each use case

11
Use Case Diagram and Flow of Events
Flow of Events
Use Case Diagram
12
Counting Use Case Points
13
Counting Use Case Points (Cont.)
14
Technical Factors
15
Environmental Factors
16
Example The Online Shopping System
17
UUCW and UAW Calculation
  • UAW (Total No. of Simple Actors x 1)
  • (Total No. Average Actors x 2) (Total No.
    Complex Actors x 3)
  • UAW (1 x 1) (0 x 2) (4 x 3) 13
  • UUCW (Total No. of Simple Use Cases x 5)
    (Total No. Average Use Cases x 10) (Total No.
    Complex Use Cases x 15)
  • UUCW (2 x 5) (3 x 10) (4 x 15) 100

18
TCF Calculation
  • TCF 0.6 (TF0.01)
  • TCF 0.6 (420.01) 1.02

19
ECF Calculation
  • ECF 1.4 (-0.03 EF)
  • ECF 1.4 (-0.03 10.5) 1.085

20
Use Case Points
  • UCP (UUCW UAW) x TCF x ECF
  • UCP (100 13) x 1.02 x 1.085 125.06
  • The total estimated size to develop the software
    is 125.06 Use Case Points
  • For the Online Shopping System example, 28 man
    hours per use case point will be used
  • Estimated Effort UCP x Hours/UCP
  • Estimated Effort 125.06 x 28 3501 Hours

21
Characteristics of Projects Evaluating the Use
Case Point Method
22
Case Study
  • Web based system for handling information about
    studies conducted by Software Engineering
    Department at Simula Research Laboratory
  • Software Engineering Department was both client
    and researcher
  • 35 Norwegian development companies volunteered
  • Requirement specification tender included 3
    actors and 9 use cases
  • Bid price range from 21,000 NOK to 559,500 NOK
  • Effort estimation from 78-654 hours with a mean
    of 275 hours

23
Example of Use Case
24
Company Selection
  • Four companies A,B,C,D developed the project
  • Companies chosen based on business and research
    criteria
  • Business criteria price, experience with similar
    solutions, experience with programming
    environment(Java), size of company, understanding
    of requirements
  • Development teams similar in size with 1 project
    manager and 2 developers
  • Java was the development language , but with
    different tools
  • Communication between client and development team
    with issue tracking system Bugzero
  • System developed in parallel with time frame
    between 9 to 13 weeks

25
Characteristics of Development Projects
26
Use Case Transaction and effort for Companies
27
Effort Estimation
28
Results
  • Minimum development time for 9 use cases is 413
    hours
  • Actual effort of four companies
  • A-587 hours
  • B-943 hours
  • C-431 hours
  • D-829 hours
  • Use case point estimation closer to actual effort
    than expert estimate based on bids

29
Conclusions
  • Brief overview of effort estimation using use
    case points
  • Example of estimating effort using use case
    points
  • Case study based on use case points

30
References
  • Anda,B., Benestad H.C., Hove, S.E. (2005). A
    multiple-case study of software effort estimation
    based on use case points. 2005 International
    Symposium on Empirical Software engineering.
    IEEE.
  • Kusumoto,S., Matukawa,F., Inoue,K., Hanabusa,S.,
    Maegawa,Y. (2004).Estimating effort by use case
    points methods, tools and case study. Proceeding
    of the 10th International Symposium on Software
    Metrics, pp. 292-299. IEEE.
  • http//en.wikipedia.org/wiki/Use_Case_Points
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