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COCOMO
The Constructive Cost Model (COCOMO) is a procedural software cost estimation model developed by Barry W. Boehm. The model parameters are derived from fitting a regression formula using data from historical projects (63 projects for COCOMO 81 and 163 projects for COCOMO II). History The constructive cost model was developed by Barry W. Boehm in the late 1970s and published in Boehm's 1981 book ''Software Engineering Economics'' as a model for estimating effort, cost, and schedule for software projects. It drew on a study of 63 projects at TRW Aerospace where Boehm was Director of Software Research and Technology. The study examined projects ranging in size from 2,000 to 100,000 lines of code, and programming languages ranging from assembly to PL/I. These projects were based on the waterfall model of software development which was the prevalent software development process in 1981. References to this model typically call it ''COCOMO 81''. In 1995 ''COCOMO II'' was devel ...
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Object Point
Object points are an approach used in software development effort estimation under some models such as COCOMO II. Object points are a way of estimating effort size, similar to source lines of code (SLOC) or function points. They are not necessarily related to objects in object-oriented programming, the objects referred to include screens, reports, and modules of the language. The number of raw objects and complexity of each are estimated and a weighted total Object-Point count is then computed and used to base estimates of the effort needed. See also * COCOMO (Constructive Cost Model) * Comparison of development estimation software * Function point * Software development effort estimation * Software sizing * Source lines of code Source lines of code (SLOC), also known as lines of code (LOC), is a software metric used to measure the size of a computer program by counting the number of lines in the text of the program's source code. SLOC is typically used to predict the am ...
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Barry Boehm
Barry William Boehm (May 16, 1935 – August 20, 2022) was an American software engineer, distinguished professor of computer science, industrial and systems engineering; the TRW Professor of Software Engineering; and founding director of the Center for Systems and Software Engineering at the University of Southern California. He was known for his many contributions to the area of software engineering. In 1996, Boehm was elected as a member into the National Academy of Engineering for contributions to computer and software architectures and to models of cost, quality, and risk for aerospace systems. Biography Boehm was born on May 16, 1935. He received a Bachelor of Arts, BA in mathematics from Harvard University in 1957, and an Master of Science, MS in 1961, and PhD from UCLA in 1964, both in mathematics as well. He also received honorary Sc.D. in Computer Science from the U. of Massachusetts in 2000 and in Software Engineering from the Chinese Academy of Sciences in 2011. In 1 ...
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Comparison Of Development Estimation Software
In software development, 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 estimates may be used as input to project plans, iteration plans, budgets, investment analyses, pricing processes and bidding rounds. State-of-practice Published surveys on estimation practice suggest that expert estimation is the dominant strategy when estimating software development effort. Typically, effort estimates are over-optimistic and there is a strong over-confidence in their accuracy. The mean effort overrun seems to be about 30% and not decreasing over time. For a review of effort estimation error surveys, see. However, the measurement of estimation error is problematic, see Assessing the accuracy of estimates. The strong overconfidence in the accuracy of the effort estimates is illustrated by the finding that, on average, ...
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SEER-SEM
SEER for Software (SEER-SEM) is a project management application used to estimate resources required for software development. History 1966 System Development Corporation Model based on regressions. 1980 Don Reifer and Dan Galorath paper which prompted the building of the JPL Softcost model. This model, an early example of software estimation, allows for automated and performed risk analysis. Softcost was later made a commercial product by Reifer Consultants. 1984 Computer Economics JS-2 and Galorath Designed System-3 based on the Jensen model. The Jensen-inspired System-3, and other modeling systems like Barry Boehm's COCOMO and early works by the Doty Associates can be seen as direct and indirect contributors to the software suite that would be developed by Galorath in the late 1980s. In 1988, Galorath Incorporated began work on the initial version of SEER-SEM.Galorath, D & Evans M. (2006) Software Sizing, Estimation, and Risk Management Page xxii Group of Models SEER ...
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Putnam Model
The Putnam model is an empirical software effort estimation model created by Lawrence H. Putnam in 1978. Measurements of a software project is collected (e.g., effort in man-years, elapsed time, and lines of code) and an equation fitted to the data using regression analysis. Future effort estimates are made by providing size and calculating the associated effort using the equation which fit the original data (usually with some error An error (from the Latin , meaning 'to wander'Oxford English Dictionary, s.v. “error (n.), Etymology,” September 2023, .) is an inaccurate or incorrect action, thought, or judgement. In statistics, "error" refers to the difference between t ...). SLIM (Software LIfecycle Management) is the name given by Putnam to the proprietary suite of tools his company QSM, Inc. developed, based on his model. It is one of the earliest of these types of models developed. Closely related software parametric models are Constructive Cost Model ( COCOMO), ...
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Function Point
The function point is a "unit of measurement" to express the amount of business functionality an information system (as a product) provides to a user. Function points are used to compute a functional size measurement (FSM) of software. The cost (in dollars or hours) of a single unit is calculated from past projects. Standards There are several recognized standards and/or public specifications for sizing software based on Function Point. 1. ISO Standards * FiSMA: ISO/IEC 29881:2010 Information technology – Systems and software engineering – FiSMA 1.1 functional size measurement method. * IFPUG: ISO/IEC 20926:2009 Software and systems engineering – Software measurement – IFPUG functional size measurement method. * Mark-II: ISO/IEC 20968:2002 Software engineering – Ml II Function Point Analysis – Counting Practices Manual * Nesma: ISO/IEC 24570:2018 Software engineering – Nesma functional size measurement method version 2.3 – Definitions and counting guidelines for t ...
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Software Engineering Economics
Software engineering is a branch of both computer science and engineering focused on designing, developing, testing, and maintaining software applications. It involves applying engineering principles and computer programming expertise to develop software systems that meet user needs. The terms ''programmer'' and ''coder'' overlap ''software engineer'', but they imply only the construction aspect of a typical software engineer workload. A software engineer applies a software development process, which involves defining, implementing, testing, managing, and maintaining software systems, as well as developing the software development process itself. History Beginning in the 1960s, software engineering was recognized as a separate field of engineering. The development of software engineering was seen as a struggle. Problems included software that was over budget, exceeded deadlines, required extensive debugging and maintenance, and unsuccessfully met the needs of consumers or ...
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Cost Overrun
A cost overrun, also known as a cost increase or budget overrun, involves unexpected incurred costs. When these costs are in excess of budgeted amounts due to a value engineering underestimation of the actual cost during budgeting, they are known by these terms. Cost overruns are common in infrastructure, building, and technology projects. For IT projects, a 2004 industry study by the Standish Group found an average cost overrun of 43 percent; 71 percent of projects came in over budget, exceeded time estimates, and had estimated too narrow a scope; and total waste was estimated at $55 billion per year in the US alone. Many major construction projects have incurred cost overruns; cost estimates used to decide whether important transportation infrastructure should be built can mislead grossly and systematically. Cost overrun is distinguished from cost escalation, which is an ''anticipated'' growth in a budgeted cost due to factors such as inflation. Causes Recent works by Ahi ...
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Estimation In Software Engineering
Cost estimation in software engineering is typically concerned with the financial spend on the effort to develop and test the software, this can also include requirements review, maintenance, training, managing and buying extra equipment, servers and software. Many methods have been developed for estimating software costs for a given project. Methods Methods for estimation in software engineering include these principles: * Analysis effort method * Parametric Estimating * The Planning Game (from Extreme Programming) * ITK method, also known as Method CETIN * Proxy-based estimating (PROBE) (from the Personal Software Process) * Program Evaluation and Review Technique (PERT) *Putnam model, also known as SLIM * PRICE Systems Founders of Commercial Parametric models that estimates the scope, cost, effort and schedule for software projects. * SEER-SEM Parametric Estimation of Effort, Schedule, Cost, Risk. Minimum time and staffing concepts based on Brooks's law * The Use Case Poin ...
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Software Development Process
In software engineering, a software development process or software development life cycle (SDLC) is a process of planning and managing software development. It typically involves dividing software development work into smaller, parallel, or sequential steps or sub-processes to improve design and/or product management. The methodology may include the pre-definition of specific deliverables and artifacts that are created and completed by a project team to develop or maintain an application. Most modern development processes can be vaguely described as agile. Other methodologies include waterfall, prototyping, iterative and incremental development, spiral development, rapid application development, and extreme programming. A life-cycle "model" is sometimes considered a more general term for a category of methodologies and a software development "process" is a particular instance as adopted by a specific organization. For example, many specific software development processe ...
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