The document discusses different techniques for estimating software project costs and effort, including decomposition, sizing, and function point analysis. It provides an example of estimating the lines of code and function points for a mechanical CAD software project. Estimates are developed by decomposing the problem into smaller elements and tasks, and estimating the effort required for each. The accuracy of estimates depends on properly sizing the software and having reliable past project metrics.
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)IrtazaAfzal3
A prescriptive process model is a model that describes "how to do" according to a certain software process system. ... Prescriptive models are used as guidelines or frameworks to organize and structure how software development activities should be performed, and in what order.
Estimation of resources, cost, and schedule for a software engineering effort requires experience, access to good historical information, and the courage to commit to quantitative predictions when qualitative information is all that exists. Halstead’s Measure & COCOMO Modeol COCOMO II Model of Estimation techniquesused or S/w Developments and Maintenance
PRESCRIPTIVE PROCESS MODEL(SOFTWARE ENGINEERING)IrtazaAfzal3
A prescriptive process model is a model that describes "how to do" according to a certain software process system. ... Prescriptive models are used as guidelines or frameworks to organize and structure how software development activities should be performed, and in what order.
Estimation of resources, cost, and schedule for a software engineering effort requires experience, access to good historical information, and the courage to commit to quantitative predictions when qualitative information is all that exists. Halstead’s Measure & COCOMO Modeol COCOMO II Model of Estimation techniquesused or S/w Developments and Maintenance
Abstract The management of software cost, development effort and project planning are the key aspects of software development. Throughout the sixty-odd years of software development, the industry has gone at least four generations of programming languages and three major development paradigms. Still the total ability to move consistently from idea to product is yet to be achieved. In fact, recent studies document that the failure rate for software development has risen almost to 50 percent. There is no magic in managing software development successfully, but a number of issues related to software development make it unique. The basic problem of software development is risky. Some example of risk is error in estimation, schedule slips, project cancelled after numerous slips, high defect rate, system goes sour, business misunderstanding, false feature rich, staff turnover. XSoft Estimation addresses the risks by accurate measurement. A new methodology to estimate using software COSMIC-Full Function Point and named as EXtreme Software Estimation (XSoft Estimation). Based on the experience gained on the original XSoft project develpment, this paper describes what makes XSoft Estimation work from sizing to estimation. Keywords: -COSMIC function size unit, XSoft Estimation, XSoft Measurement, Cost Estimation.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
FUNDAMENTALS OF software developement and a detail outcome of the software based on the project management and the various metrics and measurements development in software engineering
AN APPROACH FOR SOFTWARE EFFORT ESTIMATION USING FUZZY NUMBERS AND GENETIC AL...csandit
One of the most critical tasks during the software development life cycle is that of estimating the effort and time involved in the development of the software product. Estimation may be performed by many ways such as: Expert judgments, Algorithmic effort estimation, Machine
learning and Analogy-based estimation. In which Analogy-based software effort estimation is the process of identifying one or more historical projects that are similar to the project being developed and then using the estimates from them. Analogy-based estimation is integrated with Fuzzy numbers in order to improve the performance of software project effort estimation during
the early stages of a software development lifecycle. Because of uncertainty associated with attribute measurement and data availability, fuzzy logic is introduced in the proposed model.But hardly a historical project is exactly same as the project being estimated due to some distance associated in similarity distance. This means that the most similar project still has a
similarity distance with the project being estimated in most of the cases. Therefore, the effort needs to be adjusted when the most similar project has a similarity distance with the project being estimated. To adjust the reused effort, we build an adjustment mechanism whose
algorithm can derive the optimal adjustment on the reused effort using Genetic Algorithm. The proposed model Combine the fuzzy logic to estimate software effort in early stages with Genetic algorithm based adjustment mechanism may result to near the correct effort estimation.
AN APPROACH FOR SOFTWARE EFFORT ESTIMATION USING FUZZY NUMBERS AND GENETIC AL...cscpconf
One of the most critical tasks during the software development life cycle is that of estimating the effort and time involved in the development of the software product. Estimation may be performed by many ways such as: Expert judgments, lgorithmic effort estimation, Machine learning and Analogy-based estimation. In which Analogy-based software effort estimation is
the process of identifying one or more historical projects that are similar to the project being developed and then using the estimates from them. Analogy-based estimation is integrated with Fuzzy numbers in order to improve the performance of software project effort estimation during the early stages of a software development lifecycle. Because of uncertainty associated with tribute measurement and data availability, fuzzy logic is introduced in the proposed model. But hardly a historical project is exactly same as the project being estimated due to some distance associated in similarity distance. This means that the most similar project still has a similarity distance with the project being estimated in most of the cases. Therefore, the effort needs to be adjusted when the most similar project has a similarity distance with the project being estimated. To adjust the reused effort, we build an adjustment mechanism whose
algorithm can derive the optimal adjustment on the reused effort using Genetic Algorithm. The proposed model Combine the fuzzy logic to estimate software effort in early stages with Genetic algorithm based adjustment mechanism may result to near the correct effort estimation.
Similar to Decomposition technique In Software Engineering (20)
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2. Group Members
Name Roll No
Bilal Hassan 16-Arid-1524
Ali Hamza 16-Arid-1510
M Hamza Haidar 16-Arid-1542
Ehtesham Ahsan 16-Arid-1526
3. Decomposition Technique
Software project estimation is a form of problem solving,(i.e., developing a cost
and effort estimate for a software project)
For this reason, you should decompose the problem, characterizing it as a set of
smaller (and hopefully, more manageable) problems.
The decomposition approach was discussed from two different points of view:
decomposition of the problem and decomposition of the process. Estimation uses
one or both forms.
4. Software sizing
The accuracy of a software project estimate is predicated on a number of
things:
(1)The degree to which you have properly estimated the size of the product to be
built.
(2) The ability to translate the size estimate into human effort, calendar time, and
dollars (a function of the availability of reliable software metrics from past
projects).
(3)The degree to which the project plan reflects the abilities of the software team.
5. Explanation
Sizing represents your first major challenge as a planner.
If a direct approach is taken, size can be measured in lines of code (LOC). If an
indirect approach is chosen, size is represented as function points (FP).
6. Four different approaches to the sizing
problem
• “Fuzzy logic” sizing. To apply this approach, the planner must identify the type
of application.
Function point sizing. The planner develops estimates of the information
domain characteristics .
Change sizing. The planner estimates the number and type (e.g., reuse, adding
code, changing code, deleting code) of modifications that must be accomplished.
7. Conti…..
Standard component sizing. Software is composed of a number of different
“standard components” that are generic to a particular application area. For
example, the standard components for an information system are sub systems,
modules, screens, reports, interactive programs, batch programs, files, LOC, and
object-level instructions.
8. Problem-Based Estimation
LOC and FP data are used in two ways during software project estimation:
(1) As estimation variables to “size” each element of the software .
(2) As baseline metrics collected from past projects and used in conjunction with
estimation variables to develop cost and effort projection.
LOC and FP estimation are separate estimation technique.
LOC or FP (the estimation variable) is estimated for each function.
Yet both have a number of characteristics in common.
9. Conti…..
When LOC is used as the estimation variable, decomposition is absolutely
essential and is often taken to significant levels of detail. The greater the degree
of subdividing, the more likely accurate estimates of LOC can be developed.
For FP estimates, decomposition works differently. Rather than focusing on
function, each of the information variety characteristics inputs, outputs, data files,
inquiries, and external interfaces.
10. Calculator
A three-point or expected value can then be computed. The expected value for
the estimation variable (size) Scan be computed as a weighted average of the
optimistic (sopt), most likely (sm), and pessimistic (spess) estimates. For
example,
S=(sopt + 4sm + spess )/6
11. An Example of LOC-Based Estimation
As an example of LOC problem-based estimation techniques, I consider
a software package to be developed for a computer-aided design
application for mechanical components.
The software is to execute on an engineering workstation and must
interface with various computer graphics peripherals including a mouse,
digitizer, high-resolution color display, and laser printer.
12. Conti…..
The mechanical CAD software will accept two- and three-dimensional geometric
data from an engineer. The engineer will work together and control the CAD
system through a user interface that will display characteristics of good
human/machine interface design.
Design analysis modules will be developed to produce the required output, which
will be displayed on a variety of graphics devices. The software will be designed
to control and interact with peripheral devices that include a mouse, digitizer, laser
printer, and plotter.
13. An Example of FP-Based Estimation
Decomposition for FP-based estimation focuses on information domain
values rather than software functions. Referring to the table presented in
below, you would estimate inputs, outputs, inquiries, files, and external
interfaces for the CAD software. An FP value is computed using the
technique. For the purposes of this estimate, the complexity weighting
factor is assumed to be average. Below figure presents the results of this
estimate.
16. Calculation
Finally, the estimated number of FP is derived:
FP(estimated) =count total *[0.65 +0.01 *(Fi)] = 224
Based on a loaded labor rate of $8000 per month, the cost per FP is
approximately $1230. Based on the FP estimate and the historical productivity
data, the total estimated project cost is $461,000 and the estimated effort is 58
person-months
17. Process-Based Estimation
The most common technique for estimating a project .The process is
decomposed into a relatively small set of tasks and the effort required to
complete each task is estimated.
18. Estimation with Use Cases
Developing an estimation approach with use cases is problematic for the following
reasons.
1) Use cases are described using many different formats and styles—there is no
standard form.
2) Use cases represent an external view (the user’s view) of the software and can
therefore be written at many different levels of concept.
3)Use cases do not address the complexity of the functions and features that are
described.
4) Use cases can describe complex behavior (e.g., interactions) that involve many
functions and features.
19. Reconciling Estimates
What happens when agreement between estimates is poor? :
(1) the scope of the project is not sufficiently understood or has been
misunderstood by the planner.
(2) output data used for problem-based estimation techniques is unsuitable for the
application.