This presentation discusses use case point estimation, which is a method for estimating the size and effort of an application based on its use cases. It involves calculating unadjusted use case weights and actor weights, as well as technical and environmental complexity factors, and plugging them into an equation to determine the unadjusted use case points. The unadjusted use case points are then multiplied by a productivity factor to estimate the effort in hours of work.
This lecture provide a review of requirement engineering process. The slides have been prepared after reading Ian Summerville and Roger Pressman work. This lecture is helpful to understand user, and user requirements.
Detailed description of the use case point estimation method use to estimate the size of Application before Developing it. This Model is used in Software Engineering Field
Presentation of webinar "Overview of Function Point Analysis"
On this webinar we investigated on a very high-level estimation in function points. It is introductory webinar and it provides basics on this estimation method. During the webinar we went over following topics:
Theoretical information on FP (Project estimation model, History, Concept, Pro and Con);
Practical information of FP (Application Boundary, Type of count, Application Elements and transactions, Formulas, Non-functional requirements);
Examples and Exercises;
Next steps and recommended materials.
This lecture provide a review of requirement engineering process. The slides have been prepared after reading Ian Summerville and Roger Pressman work. This lecture is helpful to understand user, and user requirements.
Detailed description of the use case point estimation method use to estimate the size of Application before Developing it. This Model is used in Software Engineering Field
Presentation of webinar "Overview of Function Point Analysis"
On this webinar we investigated on a very high-level estimation in function points. It is introductory webinar and it provides basics on this estimation method. During the webinar we went over following topics:
Theoretical information on FP (Project estimation model, History, Concept, Pro and Con);
Practical information of FP (Application Boundary, Type of count, Application Elements and transactions, Formulas, Non-functional requirements);
Examples and Exercises;
Next steps and recommended materials.
Overview of transport protocols.
The transport layer (OSI layer 4) is the interface between the network and application (network API).
The transport layer provides data transport service and some level of quality of service (QoS) to the application.
While all transport protocols offer data transport services, they have varying levels of quality of service in terms of error detection and correction, packet ordering and packet delay.
Simple transport protocols like UDP are often connectionless while connection-oriented transport protocols like TCP provide many quality of service properties.
Welcome to my series of articles on Unified Modeling Language. This is "Session 7 – Deployment Diagram" of the series. Please view my other documents where I have covered each UML diagram with examples
what is COCOMO Model in software project management
COCOMO Model in software project management defined
COCOMO Model in software project management
what is cocomo model
cocomo model and its application
Presentation describes about process planning procedures & software project management methods employed in Infosys with reference from Textbook "Software Project management in practice by Pankaj Jalote"
The objective is to explain how a software design may be represented as a set of interacting objects that manage their own state and operations and to introduce various models that describe an object-oriented design.
Overview of transport protocols.
The transport layer (OSI layer 4) is the interface between the network and application (network API).
The transport layer provides data transport service and some level of quality of service (QoS) to the application.
While all transport protocols offer data transport services, they have varying levels of quality of service in terms of error detection and correction, packet ordering and packet delay.
Simple transport protocols like UDP are often connectionless while connection-oriented transport protocols like TCP provide many quality of service properties.
Welcome to my series of articles on Unified Modeling Language. This is "Session 7 – Deployment Diagram" of the series. Please view my other documents where I have covered each UML diagram with examples
what is COCOMO Model in software project management
COCOMO Model in software project management defined
COCOMO Model in software project management
what is cocomo model
cocomo model and its application
Presentation describes about process planning procedures & software project management methods employed in Infosys with reference from Textbook "Software Project management in practice by Pankaj Jalote"
The objective is to explain how a software design may be represented as a set of interacting objects that manage their own state and operations and to introduce various models that describe an object-oriented design.
SKIMspiration 2015: Using virtual environments to optimize the online shoppin...SKIM
Sales are increasingly migrating to online retail. In traditional retail, marketers have decades of proven insight to fall back on. Online retail environments are less mature and are more technically driven. Time is extremely limited in the real world of e-commerce. As such, the sales process needs to be short, sweet, and effectively optimized for the digital shelf. Mini and John explained how, in a research environment, we have the opportunity to experiment with different ways of guiding the consumer through the sales process. By creating virtual online shopping environments that mimic online retail stores such as the Amazon website or the Amazon mobile app we can learn how to optimize the online shopping process, the stores, and the products on display.
This is a Software Estimation Guide for Practitioners, It includes information about the Software Estimation Process, Complexities, Estimation Methods (Size, Effort, Cost) and Techniques (Function Point, COCOMO and the Use Case based Estimation)
Software cost estimation is a key open issue for the software industry, which
suffers from cost overruns frequently. As the most popular technique for object-oriented
software cost estimation is Use Case Points (UCP) method, however, it has two major
drawbacks: the uncertainty of the cost factors and the abrupt classification. To address
these two issues, refined the use case complexity classification using fuzzy logic theory which
mitigate the uncertainty of cost factors and improve the accuracy of classification.
Software estimation is a crucial task in software engineering. Software estimation
encompasses cost, effort, schedule, and size. The importance of software estimation becomes
critical in the early stages of the software life cycle when the details of software have not
been revealed yet. Several commercial and non-commercial tools exist to estimate software
in the early stages. Most software effort estimation methods require software size as one of
the important metric inputs and consequently, software size estimation in the early stages
becomes essential.
The proposed method presents a techniques using fuzzy logic theory to improve the
accuracy of the use case points method by refining the use case classification.
Draft comparison of electronic reliability prediction methodologiesAccendo Reliability
A draft version of the paper that was eventually published as “J.A.Jones & J.A.Hayes, ”A comparison of electronic-reliability prediction models”, IEEE Transactions on reliability, June 1999, Volume 48, Number 2, pp 127-134”
Provide with the kind permission of the author, J.A.Jones
VaMoS 2022 - Transfer Learning across Distinct Software SystemsLuc Lesoil
Many research studies predict the performance of configurable software using machine learning techniques, thus requiring large amounts of data. Transfer learning aims to reduce the amount of data needed to train these models and has been successfully applied on different executing environments (hardware) or software versions. In this paper we investigate for the first time the idea of applying transfer learning between distinct configurable systems. We design a study involving two video encoders (namely x264 and x265) coming from different code bases. Our results are encouraging since transfer learning outperforms traditional learning for two performance properties (out of three). We discuss the open challenges to overcome for a more general application.
Implementation of the trinity of the control system based on OPCIJRES Journal
The WinCC+PLC control system is a typical real-time control system. Many Engineering colleges Introduce corresponding control experiments in relevant courses to enhance the students' understanding of this knowledge. But it needs both venues and funds and has unsafety factors to equipped with varieties of experimental subjects for the laboratory. This paper gives a very good solution to this problem by introducing MATLAB virtual control object in the classic WinCC+PLC control system. What’s more,it realizes the seamless connection between the MATLAB and the WinCC+PLC control system after analysing how to make the PID controller in STEP7 .
I have been thinking since a while to derive a math around defect predictability. With lot of thought process, I have come up with a Simple Approach backed by a complex math in order to predict defect rate for a release/feature, in advance to implementation/test cycles.
This project is to develop a chat system based on Java multi threading and network concept. The application allows people to transfer messages both in private and …
1. Benghazi University
Faculty of Information
Technology
Department of Graduate Studies
ABDELGHANI YOUNIS ABDELGHANI
Presentation about
USE CASE POINT ESTIMATION
2012/2013
2. Use Case Points Estimation
INTRODUCTION:
Use Case Points (UCP) is an estimation
method that provides the ability to estimate
an application’s size and effort from its
use cases. Based on work by Gustav Karner
in 1993, UCP analyzes the use case actors,
scenarios and various technical and
environmental factors and abstracts them
into an equation.
3. In UCP approach estimation divided
into three parts:
A. Calculate no of Actors.
B. Calculate no of Use Cases
C. Calculate TCF and ECF
the equation to calculate UCP :
UCP = (UUCP) x TCF x ECF x PF
UUCP=UUCW + UAW
5. Use Case Points Estimation
UUCP : Unadjusted Use Case Weight
TCF : Technical Complexity Factor
ECF : Environmental Complexity Factor
UUCW : Unadjusted Use Case Weight
UAW : Unadjusted Actor Weight
PF : PRODUCTIVITY FACTOR
6. UUCP=UUCW + UAW
Unadjusted Use Case Weight(UUCW) :
Use Case No. of Weight
Classification Transactions
Simple to 3 1 5
transactions
Average to 7 4 10
transactions
Complex or more 8 15
transactions
7. Unadjusted Actor Weight (UAW)
Actor Type of Actor Weight
Classification
Simple External system that must interact
with the system using a well- 1
defined API
Average 2
External system that must interact
with the system using standard
communication protocols (e.g.
(TCP/IP, FTP, HTTP, database
Complex Human actor using a GUI 3
application interface
8. Technical Complexity Factor (TCF) :
Factor Description Weight
T1 Distributed system 2.0
T2 Response time/performance objectives 1.0
T3 End-user efficiency 1.0
T4 Internal processing complexity 1.0
T5 Code reusability 1.0
T6 Easy to install 0.5
T7 Easy to use 0.5
T8 Portability to other platforms 2.0
T9 System maintenance 1.0
T10 Concurrent/parallel processing 1.0
T11 Security features 1.0
T12 Access for third parties 1.0
T13 End user training 1.0
9. Technical Complexity Factor (TCF)
each technical factor has value from 0 to 5
0 – means that is factor insignificant for the project .
3 - means an average impact .
5 - means a strong impact .
TCF=0.6+(0.01 *total(TF)
10. Environmental Complexity Factor (ECF)
Factor Description Weight
E1 Familiarity with development process used 1.5
E2
Application experience 0.5
E3
Object-oriented experience of team 1.0
E4 0.5
Lead analyst capability
E5
Motivation of the team 1.0
E6
Stability of requirements 2.0
E7 1.0 -
Part-time staff
E8 1.0 -
Difficult programming language
11. Environmental Complexity Factor (ECF)
each Environmental factor has value from 0 to 5
0 – means that is factor insignificant for the
project .
3 - means an average impact .
5 - means a strong impact .
ECF =1.4+(-0.03 *total(EF)
UCP = (UUCP) x TCF x ECF
12. The last stage in the UCP method
المرحلة الخيرة من UCPهو تحويل UCPالئ قيم من
الجهد في العمل يحسب علئ شكل ساعة عمل ويتم ذلك
عن طريق ضرب UCPفي عامل النتاجية
وتباينت قيمة PFمن 51 الى 03 ساعة عمل لكل
UCPواحدة ولكن البحاث التي قام بها صاحب الطريقة
تم اقتراح قيمة 02 الى PF
Estimation = UCP * PF