This document discusses project estimation techniques. It outlines several techniques for estimating project parameters like activity resources, durations, and costs. These include pure expert judgement, historical data, function points, story points, and COCOMO (Constructive Cost Model). It also discusses the importance of software risk management and how anticipating and addressing risks can help complete projects on time and on budget by reducing rework. Establishing strong customer relationships and using tools and metrics can help manage project risks.
Risk Mitigation, Monitoring and Management Plan (RMMM)Navjyotsinh Jadeja
Software Risk is an expectation of loss, a potential problem that may or may not occur in the future. It is generally caused due to lack of information, control or time.
RISK – Possible loss or problem (Specifically in S/W development process)
MITIGATION – Efforts or Process to overcome the Risks or reduce the impact. (Comes after Avoidance Scenario)
MONITORING – Check to ensure effective execution (Observation)
MANAGEMENT – The subtle are of dealing with the risk and keep moving forward
Detail about cyclomatic complexity, formula to measure cyclomatic complexity and how this metric useful in software testing and uses of cyclomatic complexity etc.
Risk Mitigation, Monitoring and Management Plan (RMMM)Navjyotsinh Jadeja
Software Risk is an expectation of loss, a potential problem that may or may not occur in the future. It is generally caused due to lack of information, control or time.
RISK – Possible loss or problem (Specifically in S/W development process)
MITIGATION – Efforts or Process to overcome the Risks or reduce the impact. (Comes after Avoidance Scenario)
MONITORING – Check to ensure effective execution (Observation)
MANAGEMENT – The subtle are of dealing with the risk and keep moving forward
Detail about cyclomatic complexity, formula to measure cyclomatic complexity and how this metric useful in software testing and uses of cyclomatic complexity etc.
The right architecture is key for any IT project. This is especially the case for big data projects, where there are no standard architectures which have proven their suitability over years. This session discusses the different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Streaming Analytics architecture as well as Lambda and Kappa architecture and presents the mapping of components from both Open Source as well as the Oracle stack onto these architectures.
Machine Learning With Logistic RegressionKnoldus Inc.
Machine learning is the subfield of computer science that gives computers the ability to learn without being programmed. Logistic Regression is a type of classification algorithm, based on linear regression to evaluate output and to minimize the error.
Class lecture by Prof. Raj Jain on Big Data. The talk covers Why Big Data Now?, Big Data Applications, ACID Requirements, Terminology, Google File System, BigTable, MapReduce, MapReduce Optimization, Story of Hadoop, Hadoop, Apache Hadoop Tools, Apache Other Big Data Tools, Other Big Data Tools, Analytics, Types of Databases, Relational Databases and SQL, Non-relational Databases, NewSQL Databases, Columnar Databases. Video recording available in YouTube.
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
The Essence of India - Values of India
Puhujat: Mr. Esko Aho, President of Sitra; Mr Pradeep Singh, Mr. Soli Sorabjee, Mr. Satyan G. Pitroda, Dr. Arun Shourie
Tilaisuuden videomateriaalit: http://www.youtube.com/watch?v=DPa4L-gjFd8, http://www.youtube.com/watch?v=D1bKxEsG4LQ, http://www.youtube.com/watch?v=tRH8pMSRu_g, http://www.youtube.com/watch?v=PSIA9i1UNQ8, http://www.youtube.com/watch?v=vxEtNCcD56c, http://www.youtube.com/watch?v=K4VMO6L7ZI8, http://www.youtube.com/watch?v=gMQKUn402GM
The right architecture is key for any IT project. This is especially the case for big data projects, where there are no standard architectures which have proven their suitability over years. This session discusses the different Big Data Architectures which have evolved over time, including traditional Big Data Architecture, Streaming Analytics architecture as well as Lambda and Kappa architecture and presents the mapping of components from both Open Source as well as the Oracle stack onto these architectures.
Machine Learning With Logistic RegressionKnoldus Inc.
Machine learning is the subfield of computer science that gives computers the ability to learn without being programmed. Logistic Regression is a type of classification algorithm, based on linear regression to evaluate output and to minimize the error.
Class lecture by Prof. Raj Jain on Big Data. The talk covers Why Big Data Now?, Big Data Applications, ACID Requirements, Terminology, Google File System, BigTable, MapReduce, MapReduce Optimization, Story of Hadoop, Hadoop, Apache Hadoop Tools, Apache Other Big Data Tools, Other Big Data Tools, Analytics, Types of Databases, Relational Databases and SQL, Non-relational Databases, NewSQL Databases, Columnar Databases. Video recording available in YouTube.
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
The Essence of India - Values of India
Puhujat: Mr. Esko Aho, President of Sitra; Mr Pradeep Singh, Mr. Soli Sorabjee, Mr. Satyan G. Pitroda, Dr. Arun Shourie
Tilaisuuden videomateriaalit: http://www.youtube.com/watch?v=DPa4L-gjFd8, http://www.youtube.com/watch?v=D1bKxEsG4LQ, http://www.youtube.com/watch?v=tRH8pMSRu_g, http://www.youtube.com/watch?v=PSIA9i1UNQ8, http://www.youtube.com/watch?v=vxEtNCcD56c, http://www.youtube.com/watch?v=K4VMO6L7ZI8, http://www.youtube.com/watch?v=gMQKUn402GM
Wideband Delphi is a reliable estimation techniques that is prepared based on team consensus. This presentation discusses the process and includes examples, which can be followed when preparing your own estimates.
Effort estimation is the process of predicting the most realistic amount of effort (expressed in terms of person-hours or money) required to develop or maintain software based on incomplete, uncertain and noisy input.
Effort estimation is essential for many people and different departments in an organization.
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
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.
Modern Database Management 12th Global Edition by Hoffer solution manual.docxssuserf63bd7
https://qidiantiku.com/solution-manual-for-modern-database-management-12th-global-edition-by-hoffer.shtml
name:Solution manual for Modern Database Management 12th Global Edition by Hoffer
Edition:12th Global Edition
author:by Hoffer
ISBN:ISBN 10: 0133544613 / ISBN 13: 9780133544619
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All chapter include
Focusing on what leading database practitioners say are the most important aspects to database development, Modern Database Management presents sound pedagogy, and topics that are critical for the practical success of database professionals. The 12th Edition further facilitates learning with illustrations that clarify important concepts and new media resources that make some of the more challenging material more engaging. Also included are general updates and expanded material in the areas undergoing rapid change due to improved managerial practices, database design tools and methodologies, and database technology.
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This person is none other than Oprah Winfrey, a highly influential figure whose impact extends beyond television. This article will delve into the remarkable life and lasting legacy of Oprah. Her story serves as a reminder of the importance of perseverance, compassion, and firm determination.
2. What is Project Estimating ?
Estimating Techniques
Pure Expert Judgment
Historical Data
Wideband Delphi
Source line of code(SLOC)
Function point(FP)
Use case point
Story point
Tree-Point Estimating/PERT
Other techniques
Introduction to Risk Management
Importance of SE Risk Management
conclusion
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3. Estimate : A quantitative assessment of the likely amount or
outcome.
Project Estimating : The act of creating a quantitative
assessment of the likely amount or outcome.
Estimation Process :
◦ Estimate Activity Resources
◦ Estimate Activity Durations
◦ Estimate Costs
Key Roles in Project Estimating
• Project Manager
• Estimators
• Program Management
• Senior Management/Project Sponsor
• Customer
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4. Pure Expert Judgment
Historical Data
Wideband Delphi
Source line of code(SLOC)
Function point(FP)
Use case point
Story point
Monte Carlo
Constructive Cost Model(COCOMO)
Test case point(TCP), etc
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5. It is mainly base on the expert knowledge
One or more expert in both software development and the
application domain use their experience to predict software
cost.
Process iterates until some consensus is reached.
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6. Estimation by analogy
o Applicable when other projects in the same application
domain have been completed.
o New projects can be estimated by analogy with the
completed projects.
PORBE(Proxy Based Estimating) : PROBE is base on the idea
that if an engineer is building a component similar to one he
built previously, then it will take about the same effort as it
did in the past.
o A formula based on linear regression is used to calculate
the estimate for each task from this history.
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7. Wideband Delphi is a repeatable estimation process because
it consists of a straightforward set of steps that can be
performed the same way each time.
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8. Used to measure the size of a software program by counting
the number of lines in the text of the program’s source code.
We need to divide the problem into modules, and each
module into sub modules, and so on until the sizes of the
different leaf-level modules can be approximately predicted.
Two major types of SLOC measures :
◦ Physical SLOC is a count of lines in the text of the
program’s source code including comment lines.
◦ Logical SLOC attempts to measure the number of
executable “statements”(e.g. in C-like programming
languages is the number of statement-terminating
semicolons).
◦ E.g. KLOC i.e. 1,000 lines of code.
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9. Function count measure functionality from user point of view.
The base of the function count is what the user requests and
what he/she receives in return from the system.
Quantitative(Objective) measure and industry data is available
as basis for comparison.
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10. 10
An estimation method that provides the ability to estimate an
application’s size and effort from its use cases.
UCP analyzes the use case actors, scenarios and various
technical and environmental factors and abstracts them into
an equation.
11. A story point is a relative measure of complexity instead of
effort(hours etc.) of a user story in Agile estimation and
planning.
If the second story is twice as complex as previous one, we
give it a value of twice points.
11
12. More sophisticated from of the range estimation techniques.
3 separate values of the estimation are derived : optimistic,
pessimistic and most likely.
Helps to normalize the subjective data.
Program Evaluation and Review Technique(PERT)
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13. Monte Carlo : It is base on the generation of multiple trials to
determine the expected value of random variable.
Test case points : Estimates the size of testing projects using
test cases as input.
13
14. COCOMO(Constructive Cost Model) :
◦ The Constructive Cost Model (COCOMO) is an procedural software
cost estimation model developed by Barry W. Boehm.
◦ COCOMO applies to:
Organic mode(2-50 KLOC)
Semi-detached mode(50-300 KLOC)
Embedded mode(over 300 KLOC)
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15. Risk : Any anticipated unfavorable event or circumstances
that occur while the project is underway.
If the Risk become true :
◦ It can hamper the successful and timely completion of a
project.
Therefore, it is necessary to anticipate and identify different
risk.
Risk Management : Reducing the impact of all kind of risks
that might affect a project.
15
16. Addresses complex software systems
Focuses projects on critical risk items
Provides techniques for handling risk items
Reduces software cost by reducing rework :
◦ Usually 40-50% of software costs
16
17. To manage the risks we need to establish a strong bond
between the customers and the team members.
A strong base about risk management would help a great
deal in tracking the risks
Software metrics and tools can be developed to manage the
risks.
Risk necessarily need not be negative and it can be viewed as
an opportunity to develop our projects in the better way.
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18. THANK YOU VERY MUCH FOR PATIENT
LISTENING
&
INTERACTING…
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