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Function Point Analysis
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Information System
An information system (IS) is a formal, sociotechnical, organizational system designed to collect, process, Information Processing and Management, store, and information distribution, distribute information. From a sociotechnical perspective, information systems comprise four components: task, people, structure (or roles), and technology. Information systems can be defined as an integration of components for collection, storage and data processing, processing of data, comprising digital products that process data to facilitate decision making and the data being used to provide information and contribute to knowledge. A computer information system is a system, which consists of people and computers that process or interpret information. The term is also sometimes used to simply refer to a computer system with software installed. "Information systems" is also an academic field of study about systems with a specific reference to information and the complementary networks of computer ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Metrics
In software engineering and Software development, development, a software metric is a standard of measure of a degree to which a software system or process possesses some property. Even if a metric is not a measurement (metrics are functions, while measurements are the numbers obtained by the application of metrics), often the two terms are used as synonyms. Since Quantitative research, quantitative measurements are essential in all sciences, there is a continuous effort by computer science practitioners and theoreticians to bring similar approaches to software development. The goal is obtaining objective, reproducible and quantifiable measurements, which may have numerous valuable applications in schedule and budget planning, cost estimation, quality assurance, testing, software debugging, software Program optimization, performance optimization, and optimal personnel task assignments. Common software measurements Common software measurements include: * ABC Software Metric * Bal ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
The Simple Function Point (SFP) Method
The Simple Function Point (SFP) method is a lightweight Functional Measurement Method. The Simple Function Point method was designed by Roberto Meli in 2010 to be compliant with thand compatible with the IFPUG, International Function Points User Group (IFPUG) Function Point Analysis (FPA) method. The original method (SiFP) was presented for the first time in a public conference in RomeSMEF2011 The method was subsequently described in a manual produced by the Simple Function Point Association: thSimple Function Point Functional Size Measurement Method Reference Manual available under the Creative Commons license, Creatives Commons Attribution-NoDerivatives 4.0 International Public License. Adoption by IFPUG In 2019, the Simple Function Points Method was acquired by the IFPUG, to provide its user community with a simplified Function Point counting method, to make functional size measurement easier yet reliable in the early stages of software projects. The short name became SFP. T ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Sizing
Software sizing or software size estimation is an activity in software engineering that is used to determine or estimate the size of a software application or component in order to be able to implement other software project management activities (such as estimating or tracking). Size is an inherent characteristic of a piece of software just like weight is an inherent characteristic of a tangible material. Background Software sizing is different from software effort estimation. Sizing estimates the probable size of a piece of software while effort estimation predicts the effort needed to build it. The relationship between the size of software and the effort required to produce it is called productivity. For example, if a software engineer has built a small web-based calculator application, we can say that the project effort was 280 man-hours. However, this does not give any information about the size of the ''software product'' itself. Conversely, we can say that the application ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Software Development Effort Estimation
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, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
MK II FPA
The MK II Method is one of the software sizing methods in functional point group of measurements. This is a method for analysis and measurement of information processing applications based on end user functional view of the system. The MK II Method (ISO/IEC 20968 Software engineering—Mk II Function Point Analysis—Counting Practices Manual) is one of five currently recognized ISO standards for Functionally sizing software. Introduction The MK II Method was defined by Charles Symons in book published in 1991. UK Software Metrics Association is now responsible for the method and its continuing development. The functional user requirements of the software are identified and each one is categorized into one of there types: inputs, exits and objects. In order to determine functional size of system these functional requirements are counted. MkII FPA counting rules MkII counting procedure contains several steps described below. Determine the ViewPoint, Purpose and Type of the Count ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
IFPUG
The International Function Point Users Group (IFPUG) is a United States, US-based organization with worldwide chapters of Function point analysis metric software users. It is a Nonprofit organization, non-profit, member-governed organization founded in 1986. IFPUG owns Function point, Function Point Analysis (FPA) as defined in ISO-standard, ISO 20296 which specifies the definitions, rules and steps for applying the IFPUG's functional size measurement (FSM) method. FPA can be traced to the work of Allan Albrecht of IBM who pioneered functional sizing in 1979 which derived a functional size of product value distinct and disassociated from lines of code, technology, or software language. Functions IFPUG maintains the Function Point Counting Practices Manual (CPM), and the SNAP Assessment Practices Manual, the recognized industry standards for Software sizing#Functional software-sizing methods, functional and Software sizing#Non-functional software-sizing methods, non-functional siz ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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 amount of effort that will be required to develop a program, as well as to estimate programming productivity or maintainability once the software is produced. Measurement methods Multiple useful comparisons involve only the order of magnitude of lines of code in a project. Using lines of code to compare a 10,000-line project to a 100,000-line project is far more useful than when comparing a 20,000-line project with a 21,000-line project. While it is debatable exactly how to measure lines of code, discrepancies of an order of magnitude can be clear indicators of software complexity or man-hours. There are two major types of SLOC measures: physical SLOC (LOC) and logical SLOC (LLOC). Specific definitions of these two measures vary, but the ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
