Cover of: Reliability of function points measurement | Chris F. Kemerer

Reliability of function points measurement

a field experiment
  • 27 Pages
  • 0.10 MB
  • English
Center for Information Systems Research, Sloan School of Management, Massachusetts Institute of Technology , Cambridge Mass
StatementChris Kemerer.
SeriesCISR WP -- no. 216, Sloan WP -- No. 3193-90-MSA, Working paper (Sloan School of Management) -- 3193-90.
ContributionsSloan School of Management. Center for Information Systems Research.
The Physical Object
Pagination[27] p. :
ID Numbers
Open LibraryOL17938347M

Reliability of function points measurement: a field experiment [Chris F Kemerer, Sloan School of Management. Center for I] on *FREE* shipping on qualifying offers.

This is a reproduction of a book published before This book may have occasional imperfections such as missing or blurred pages. RELIABILITYOFFUNCTIONPOINTS MEASUREMENT:AFIELDEXPERIMENT r October CISRWPNo SloanWPNoMSA ®MassachusettsInstituteofTechnology.

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UCTION Managementofsoftwaredevelopmentandmaintenanceencompassestwomajor functions,planningandcontrol,bothofwhichrequirethecapabilitytoaccuratelyand.

between function point counters, or in other words the inter-rater reliability. We will survey the existing literature on the reliability of function point counting.

This is clas-sically measured by repeated function point counts. We propose various techniques to assess the systematic differences between counters where recounts are not necessary.

An illustration of an open book. Books. An illustration of two cells of a film strip. Video. An illustration of an audio speaker. Audio. An illustration of a " floppy disk. Improving the reliability of function point measurement: an empirical study Item Preview remove-circlePages: Title: Improving the reliability of function point measurement: an empirical st udy - Software Engineering, IEEE Transactions on Author: IEEE Created Date.

One measure of the size and complexity of information systems that is growing in acceptance and adoption is function points, a user-oriented, nonsource line of code metric of the systems. Book • Second Edition This chapter explains the subject of measurement system reliability and the effect that this can have on other systems associated with the measurement system.

some reference material for the reader in respect of some of the variables that he/she may have a requirement to measure at some future point in their. RELIABILITY A test is seen as being reliable when it can be used by a number of different researchers under stable conditions, with consistent results and the results not varying.

Reliability reflects consistency and replicability over time. Furthermore, reliability is seen as the degree to which a test is free from measurement errors.

Reliability Basics: The Reliability Function. The most frequently used function in life data analysis and reliability engineering is the reliability function. This function gives the probability of an item operating for a certain amount of time without failure.

Function Point Analysis: Measurement Practices for Successful Software Projects is a comprehensive presentation of the principles of function point analysis (FPA) and a guide to its effective use in managing the development and deployment of software.

Written for both information technology (IT) practitioners and managers, it describes how to Reviews: 9. Function Points have been around since the ’s. They are a consistent, user-centric description and measure of functionality in terms of inputs and outputs and data stored.

They are counted by examining the requirements, and applying some rules/principles to determine the data that is moved, and stored.

Function points measure software size based on the functionality requested by and provided to the end user Function point counting resources 9User/analyst interviews 9Requirements documents 9Design documents 9Data dictionaries 9Use cases 9User guides 9Screen captures 9Actual software 9Entity-relationship models 9Semantic object models Function point counting.

Reliability. hroughout this book, we have emphasized the fact that psychological mea- With an understanding of reliability and the nature of measure-ment error, we can use an individual’s observed score from one testing occasion to − 34 = 4) for a test with poor reliability but less than 1 point (38 − ) for a test with.

reliability separately for each construct. • Likewise, if you get a low reliability coefficient, then your measure is probably measuring more constructs than it is designed to measure. Revise your measure to focus more directly on the construct of interest. – If you. • Modelling reliability with the exponential distribution • Mean time to and before failure • The addition and multiplication rules of probability • System reliability and fault tree analysis Obviously, we only cover a few of the basics here.

For more detail see Besterfield (), O’Connor (), or many other books. reliability estimate of the current test; and m equals the new test length divided by the old test length. For example, if the test is increased from 5 to 10 items, m is 10 / 5 = 2.

Consider the reliability estimate for the five-item test used previously (α=ˆ). If the test is doubled to include 10 items, the new reliability estimate would be.

Reliability refers to the consistency of the measurement. Reliability shows how trustworthy is the score of the test. If the collected data shows the same results after being tested using various methods and sample groups, this indicates that the information is reliable. The study of component and process reliability is the basis of many efficiency evaluations in Operations Management discipline.

For example, in the calculation of the Overall Equipment Effectiveness (OEE) introduced by Nakajima [], it is necessary to estimate a crucial parameter called is strictly related to reliability.

Reliability refers to the consistency of a measurement over time, across different observers, and across parts of the test itself, playing a predominant role in. Robert Wellmon, in Physical Rehabilitation, Functional Independence Measure. The Functional Independence Measure (FIM) is an instrument that was developed as a measure of disability for a variety of populations.

The instrument includes measures of independence for self-care, including sphincter control, transfers, locomotion, communication, and social cognition. Reliability is a measure of the consistency of a metric or a method.

Every metric or method we use, including things like methods for uncovering usability problems in an interface and expert judgment, must be assessed for reliability. In fact, before you can establish validity, you need to establish reliability.

Here are the four most common ways of measuring reliability for any empirical. reliability, validity and triangulation, if they are relevant research concepts, particularly from a qualitative point of view, have to be redefined in order to reflect the multiple ways of establishing truth.


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Reliability, Validity, Triangulation, Construct, Qualitative, and Quantitative. Creative Commons License. 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. Using availability and reliability. The measurement of Availability is driven by time loss whereas the measurement of Reliability is driven by the frequency and impact of failures.

Mathematically, the Availability of a system can be treated as a function of its Reliability. In other words, Reliability can be considered a subset of Availability. The function point count at the end of requirements and/or designs can be compared to function points actually delivered.

If the project has grown, there has been scope creep. The amount of growth is an indication of how well requirements were gathered by and/or communicated to the project team. This paper reports on a study carried out within a software development organization to evaluate the use of function points as a measure of early lifecycle software size.

There were three major aims to the research: firstly to determine the extent to which the component elements of function points were independent of each other and thus appropriate for an additive model of size; secondly to.

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Types of reliability and how to measure them. Published on August 8, by Fiona Middleton. Revised on J When you do quantitative research, you have to consider the reliability and validity of your research methods and instruments of measurement. Reliability tells you how consistently a method measures something.

Rosenthal(): Reliability is a major concern when a psychological test is used to measure some attribute or behaviour. Anastasi (): Reliability refers to the consistency of scores obtained by the same individuals when re- examined with test on different occasions, or with different sets of equivalent items, or under other variable.

The main reliability design analysis technique described y function deployment ility prediction -strength analysis e modes, effects and critically analysis tree analysis and operability study materials and process reviewincluding human aspects manufacturing, maintenance, etc.

Parallel forms reliability is a measure of reliability obtained by administering different versions of an assessment tool (both versions must contain items that probe the same construct, skill, knowledge base, etc.) to the same group of individuals.

The scores from the two versions can then be correlated in order to evaluate the consistency of.the reliability of function point measurement. Keywords: Function Point Analysis (FPA) model, software estimation 1 INTRODUCTION Function Point Analysis (FPA) model has been proposed in by Allan Albrecht of IBM [Albrecht79] and has been further refined by Albrecht and Gaffney in [Albrecht83].

The basic concept of FPA is.Software Reliability is not a function of time - although researchers have come up with models relating the two. The modeling technique for Software Reliability is reaching its prosperity, but before using the technique, we must carefully select the appropriate model that can best suit our case.

Measurement in software is still in its infancy.