Software Development Cost Estimation Chapter 5 in Software Engineering by Ian Summerville (7th edition) 4/7/2019.

Slides:



Advertisements
Similar presentations
Software Cost Estimation
Advertisements

COST ESTIMATION TECHNIQUES AND COCOMO. Cost Estimation Techniques 1-)Algorithmic cost modelling 2-)Expert judgement 3-)Estimation by analogy 4)-Parkinsons.
Software cost estimation
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 26 Slide 1 Software cost estimation.
Lecturer: Sebastian Coope Ashton Building, Room G.18 COMP 201 web-page: Software.
Software Cost Estimation
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 23Slide 1 Software Cost Estimation.
Modified from Sommerville’s originalsSoftware Engineering, 7th edition. Chapter 26 Slide 1 Software cost estimation.
SOFTWARE PROJECT MANAGEMENT AND COST ESTIMATION © University of LiverpoolCOMP 319slide 1.
SOFTWARE PROJECT MANAGEMENT AND COST ESTIMATION © University of LiverpoolCOMP 319slide 1.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 23Slide 1 Chapter 23 Software Cost Estimation.
Chapter 23 – Project planning Part 2. Estimation techniques  Organizations need to make software effort and cost estimates. There are two types of technique.
Software Cost Estimation Hoang Huu Hanh, Hue University hanh-at-hueuni.edu.vn.
Cost Estimation Van Vliet, chapter 7 Glenn D. Blank.
University of Toronto Department of Computer Science © 2001, Steve Easterbrook CSC444 Lec22 1 Lecture 22: Software Measurement Basics of software measurement.
Chapter 6 : Software Metrics
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 26 Slide 1 Software cost estimation 1.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 23Slide 1 Chapter 23 Software Cost Estimation.
Software cost estimation Predicting the resources required for a software development process 1.
Software engineering Olli Alm Lecture 5: project management & workload estimation.
10/27/20151Ian Sommerville.  Fundamentals of software measurement, costing and pricing  Software productivity assessment  The principles of the COCOMO.
Cost Estimation. Problem Our ability to realistically plan and schedule projects depends on our ability to estimate project costs and development efforts.
Software cost estimation DeSiaMore 1.
Software cost estimation
Cost Estimation What is estimated? –resources (humans, components, tools) –cost (person-months) –schedule (months) Why? –Personnel allocation –Contract.
Estimation - Software Metrics Managers frequently have to measure the productivity of software engineers.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 23Slide 1 Software cost estimation l Predicting the resources required for a software development.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 26 Slide 1 Software cost estimation 2.
1 Chapter 3 1.Quality Management, 2.Software Cost Estimation 3.Process Improvement.
©Ian Sommerville 2000Software Engineering, 7th edition. Chapter 26Slide 1 Software cost estimation l Predicting the resources required for a software development.
©Ian Sommerville, adapted by Werner Wild 2004Project Management Slide 1 Software cost estimation u Predicting the resources required for a software development.
Software cost estimation. Fundamental estimation questions How much effort is required to complete an activity? How much calendar time is needed to complete.
©Ian Sommerville 2000Software Engineering, 6th edition. Chapter 23Slide 1 Software cost estimation l Predicting the resources required for a software development.
1 Software Cost Estimation Predicting the resources required for a software development process.
Software cost estimation. Objectives To introduce the fundamentals of software costing and pricing To describe three metrics for software productivity.
Function Points Synthetic measure of program size used to estimate size early in the project Easier (than lines of code) to calculate from requirements.
Guide to Computer Forensics and Investigations, 2e CC20O7N Software Engineering 1 Guide to Computer Forensics and Investigations, 2e CC20O7N Software.
Estimating “Size” of Software There are many ways to estimate the volume or size of software. ( understanding requirements is key to this activity ) –We.
Software cost estimation. Objectives To introduce the fundamentals of software costing and pricing To introduce the fundamentals of software costing and.
The COCOMO model An empirical model based on project experience. Well-documented, ‘independent’ model which is not tied to a specific software vendor.
©Ian Sommerville 2006Software Engineering, 8th edition. Chapter 26 Slide 1 Software cost estimation.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 26 Slide 1 Software cost estimation.
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 26 Slide 1 Software cost estimation.
CS223: Software Engineering Lecture 37: Software Planning and Estimation.
By Manish Shrotriya CSE MS Software Estimation Effort Estimation: how much effort is required to complete an activity. (How to define efforts: Line.
Software Engineering, COMP201 Slide 1 Software Engineering CSE470.
Software Engineering, COMP201 Slide 1 Software Engineering CSE470.
©Ian Sommerville 2006Software Engineering, 8th edition. Chapter 26 Slide 1 Software cost estimation.
CS223: Software Engineering
Software Prototyping.
Cost Estimation Models
Software cost estimation
Software Engineering: A Practitioner’s Approach, 6/e Chapter 23 Estimation for Software Projects copyright © 1996, 2001, 2005 R.S. Pressman & Associates,
Software cost estimation
Software Cost Estimation
Software Metrics “How do we measure the software?”
Chapter 23 – Project planning
Software cost estimation
More on Estimation In general, effort estimation is based on several parameters and the model ( E= a + b*S**c ): Personnel Environment Quality Size or.
COCOMO Models.
Cost Estimation Van Vliet, chapter 7 Glenn D. Blank.
COCOMO 2 COCOMO 81 was developed with the assumption that a waterfall process would be used and that all software would be developed from scratch. Since.
Chapter 23 Software Cost Estimation
Software cost estimation
Software Engineering: A Practitioner’s Approach, 6/e Chapter 23 Estimation for Software Projects copyright © 1996, 2001, 2005 R.S. Pressman & Associates,
Software cost estimation
Software Cost Estimation
Software cost estimation
Chapter 26 Estimation for Software Projects.
Software cost estimation
Presentation transcript:

Software Development Cost Estimation Chapter 5 in Software Engineering by Ian Summerville (7th edition) 4/7/2019

Outline Software productivity Estimation techniques 4/7/2019

Fundamental estimation questions How much effort is required to complete an activity? How much calendar time is needed to complete an activity? What is the total cost of an activity? 4/7/2019

Software Development Cost Components Hardware and software costs Travel and training costs Effort costs Salaries of engineers Overheads Social and insurance costs Costs of building, heating, lighting. Costs of networking and communications. Costs of shared facilities (e.g. library, staff restaurant, etc.). 4/7/2019

Costing vs Pricing Estimates are made to discover the cost of producing a software system. Broader organisational, economic, political and business considerations influence the price charged. 4/7/2019

Software pricing factors 4/7/2019

Software productivity Is a measure of the rate at which individual engineers produce software and associated documentation. Is not quality-oriented although quality assurance is a factor in productivity assessment. Essentially, we want to measure useful functionality produced per time unit. 4/7/2019

Productivity measures Size related measures based on some output from the software process. Lines of delivered source code Object code instructions Number of pages of documentation Function-related measures based on an estimate of the functionality of the delivered software. Function-points Object points 4/7/2019

Lines of Code Per Programmer-month (LOC/pm) LOC/pm is calculated by Total number of lines of source code delivered ------------------------------------------------------------------------- Total time in programmer-month to produce the above Where Total time = requirement + design + coding + testing + documentation 4/7/2019

Limitations with LOC/pm The measure was first proposed when programs were developed in FORTRAN, assembly, or COBOL, when programs were typed on cards with one line per card How does this correspond to statements as in Java, C++? Multiple line statements Declaration, executable statements, comments Macros What programs should be counted as part of the system? Prototypes Testing scripts 4/7/2019

LOC/pm limitation across languages “The lower level the language, the more productive the programmer” The same functionality takes more code to implement in a lower-level language than in a high-level language. “The more verbose the programmer, the higher the productivity” Measures of productivity based on lines of code suggest that programmers who write verbose code are more productive than programmers who write compact code. 4/7/2019

Estimation anomalous 4/7/2019

UFC = Σ(number of elements of given type)x(weight) Function points Based on a combination of program characteristics external inputs and outputs; user interactions; external interfaces; files used by the system. A complexity weight is associated with each Unadjusted function-point count (UFC) is calculated by UFC = Σ(number of elements of given type)x(weight) 4/7/2019

FPs are very subjective. UFC is modified by complexity of the project to produce final FPs for the system. FPs are very subjective. Complexity depends on the estimator judgement Complexity depends on the type of system Biased towards data-processing Not suitable for event-driven systems 4/7/2019

Object points Object points (aka application points) are an alternative function-related measure. The number of object points in a program is a weighted estimate of The number of separate screens that are displayed; The number of reports that are produced by the system; The number of program modules that must be developed to supplement the database code; 4/7/2019

Object point estimation Object points are easier to estimate from a specification as they are simply concerned with screens, reports and programming language modules. They can therefore be estimated at a fairly early point in the development process. 4/7/2019

FPs and OPs can be used to estimate LOC depending on the average number of LOC per FP or OP for a given language LOC = AVC * number of function (object) points; AVC is a language-dependent factor 4/7/2019

Productivity estimates Real-time embedded systems, 40-160 LOC/Person-month. Systems programs , 150-400 LOC/Person-month. Commercial applications, 200-900 LOC/Person-month. In object points, productivity has been measured between 4 and 50 object points/month depending on tool support and developer capability. 4/7/2019

Quality vs Productivity All metrics based on volume/unit time are flawed because they do not take quality into account. Productivity may generally be increased at the cost of quality. It is not clear how productivity/quality metrics are related. 4/7/2019

Estimation techniques There is no simple way to make an accurate estimate of the effort Initial estimates are based on inadequate information in a user requirements definition; The software may run on unfamiliar computers or use new technology; The people in the project may be unknown. Project cost estimates may be self-fulfilling The estimate defines the budget and the product is adjusted to meet the budget. 4/7/2019

Estimation techniques Algorithmic cost modelling. Expert judgement. Estimation by analogy. Parkinson's Law. Pricing to win. 4/7/2019

Estimation techniques 4/7/2019

Pricing to win The project costs whatever the customer has to spend on it. Advantages: You get the contract. Disadvantages: The probability that the customer gets the system he or she wants is small. Costs do not accurately reflect the work required. 4/7/2019

Pricing to win May seem unethical and un-businesslike. However, when detailed information is lacking it may be the only appropriate strategy. The project cost is agreed on the basis of an outline proposal and the development is constrained by that cost. A detailed specification may be negotiated or an evolutionary approach used for system development. 4/7/2019

Algorithmic cost modelling Cost is estimated as a mathematical function of product, project and process attributes whose values are estimated by project managers: Effort = A ´ SizeB ´ M A is an organisational practice and product constant, Size is code size or FP or OP B is a project size factor and reflects the fact that costs don’t increase with size linearly M is a multiplier reflecting product, process and people attributes. 4/7/2019

Estimation accuracy The size of a software system can only be known accurately when it is finished. Several factors influence the final size Use of COTS and components; Programming language; Distribution of system. As the development process progresses then the size estimate becomes more accurate. 4/7/2019

The COCOMO model An empirical model based on project experience. Well-documented, ‘independent’ model which is not tied to a specific software vendor. Long history from initial version published in 1981 (COCOMO-81) through various instantiations to COCOMO 2. COCOMO 2 takes into account different approaches to software development, reuse, etc. 4/7/2019

COCOMO 81 4/7/2019

COCOMO 2 COCOMO 81 was developed with the assumption that a waterfall process would be used and that all software would be developed from scratch. Since its formulation, there have been many changes in software engineering practice and COCOMO 2 is designed to accommodate different approaches to software development. 4/7/2019

COCOMO 2 models COCOMO 2 incorporates a range of sub-models that produce increasingly detailed software estimates. The sub-models in COCOMO 2 are: Application composition model. Used when software is composed from existing parts. Early design model. Used when requirements are available but design has not yet started. Reuse model. Used to compute the effort of integrating reusable components. Post-architecture model. Used once the system architecture has been designed and more information about the system is available. 4/7/2019

Estimation methods Each method has strengths and weaknesses. Estimation should be based on several methods. If these do not return approximately the same result, then you have insufficient information available to make an estimate. Some action should be taken to find out more in order to make more accurate estimates. Pricing to win is sometimes the only applicable method. 4/7/2019