Requirement Prioritization
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Requirement Prioritization
Requirement prioritization is used in the Software product management for determining which candidate requirements of a software product should be included in a certain release. Requirements are also prioritized to minimize risk during development so that the most important or high risk requirements are implemented first. Several methods for assessing a prioritization of software requirements exist. Introduction In Software product management there exist several sub processes. First of all there is portfolio management where a product development strategy is defined based on information from the market and partner companies. In product roadmapping (or technology roadmapping), themes and core assets of products in the portfolio are identified and roadmap constructions are created. In requirements management candidate software requirements for a product are gathered and organized. Finally, in the release planning activity, these requirements are prioritized and selected for a release, ...
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Software Product Management
Software product management (sometimes also referred to as ''digital product management'' or, in the right context just ''product management'') is the discipline of building, implementing and managing software or digital Product (business), products, taking into account Product lifecycle, life cycle considerations and an audience. It is the discipline and business process which governs a product from its inception to the market or customer delivery and service in order to maximize revenue. This is in contrast to software that is delivered in an ''ad hoc'' manner, typically to a limited clientele, e.g. Service (economics), service. The need for software product management To develop, sell and support a successful software product a business needs to solve its market problem, understand its market, identify the opportunity as well as develop and market an appropriate piece of software. Hence the need for product management as a core business function in software companies. Hardware ...
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Binary Search Tree
In computer science, a binary search tree (BST), also called an ordered or sorted binary tree, is a rooted binary tree data structure with the key of each internal node being greater than all the keys in the respective node's left subtree and less than the ones in its right subtree. The time complexity of operations on the binary search tree is directly proportional to the height of the tree. Binary search trees allow binary search for fast lookup, addition, and removal of data items. Since the nodes in a BST are laid out so that each comparison skips about half of the remaining tree, the lookup performance is proportional to that of binary logarithm. BSTs were devised in the 1960s for the problem of efficient storage of labeled data and are attributed to Conway Berners-Lee and David Wheeler. The performance of a binary search tree is dependent on the order of insertion of the nodes into the tree since arbitrary insertions may lead to degeneracy; several variations of the bi ...
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Sjaak Brinkkemper
Jacobus Nicolaas (Sjaak) Brinkkemper (born Monnickendam, 18 January 1958) is a Dutch computer scientist, and Full Professor of organisation and information at the Department of Information and Computing Sciences of Utrecht University. Biography Brinkkemper received a BA from the University of Amsterdam in 1980 and an MSc from the Radboud University Nijmegen in 1984, both in Mathematics. In 1990 he received a PhD at the same university with his thesis ''Formalisation of information systems modelling'', supervised by Eckhard Falkenberg and Alex Verrijn Stuart. In 1984 he became an assistant professor at the department of Informatics at the Radboud University. In 1992 he became associate professor at the University of Twente. In addition, he has been a process architect at Baan from 1996 to 2002 and a consultant at Emendas for another year. Since 2004 Brinkkemper is full professor at Utrecht University, where he leads a group of about twenty researchers specialized in product sof ...
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MoSCoW Method
The MoSCoW method is a prioritization technique used in management, business analysis, project management, and software development to reach a common understanding with stakeholders on the importance they place on the delivery of each requirement; it is also known as ''MoSCoW prioritization'' or ''MoSCoW analysis''. The term ''MOSCOW'' itself is an acronym derived from the first letter of each of four prioritization categories: M - ''Must have'', S - ''Should have'', C - ''Could have'', W - ''Won't have''. The interstitial ''O''s are added to make the word pronounceable. While the ''O''s are usually in lower-case to indicate that they do not stand for anything, the all-capitals ''MOSCOW'' is also used. Background This prioritization method was developed by Dai Clegg in 1994 for use in rapid application development (RAD). It was first used extensively with the dynamic systems development method (DSDM) from 2002. MoSCoW is often used with timeboxing, where a deadline is fix ...
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Cumulative Voting
Cumulative voting (also accumulation voting, weighted voting or multi-voting) is a multiple-winner method intended to promote more proportional representation than winner-take-all elections such as block voting or first past the post. Cumulative voting is used frequently in corporate governance, where it is mandated by some (7) U.S. states ''(''see e.g., ''Minn. Stat. Sec. 302A.111 subd. 2(d).)''. History Cumulative voting was used to elect the Illinois House of Representatives from 1870 until its repeal in 1980 and used in England and Scotland in the late 19th century to elect some school boards. As of March 2012, more than fifty communities in the United States use cumulative voting, all resulting from cases brought under the National Voting Rights Act of 1965. Among them are Peoria, Illinois for half of its city council, Chilton County, Alabama for its county council and school board, and Amarillo, Texas, for its school board and College Board of Regents. Courts sometimes ...
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PROMETHEE
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Planning Game
Extreme programming (XP) is an agile software development methodology used to implement software projects. This article details the practices used in this methodology. Extreme programming has 12 practices, grouped into four areas, derived from the best practices of software engineering.Beck, K. ''Extreme Programming Explained: Embrace Change'' 2nd. ed. Addison-Wesley, 2000 pp. 54 Fine scale feedback Pair programming Pair programming means that all the codes which is produced by two people programming on one task on one workstation. One programmer has control over the workstation and is thinking mostly about the coding in detail. The other programmer is more focused on the big picture, and is continually reviewing the code that is being produced by the first programmer. Programmers trade roles after minute to hour periods. The pairs are not fixed; programmers switch partners frequently, so that everyone knows what everyone is doing, and everybody remains familiar with the whole ...
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Quality Function Deployment
Quality function deployment (QFD) a method developed in Japan beginning in 1966 to help transform the voice of the customer into engineering characteristics for a product.Larson et al. (2009). p. 117. Yoji Akao, the original developer, described QFD as a "method to transform qualitative user demands into quantitative parameters, to deploy the functions forming quality, and to deploy methods for achieving the design quality into subsystems and component parts, and ultimately to specific elements of the manufacturing process." The author combined his work in quality assurance and quality control points with function deployment used in value engineering. House of quality The house of quality, a part of QFD, is the basic design tool of quality function deployment. It identifies and classifies customer desires (What's), identifies the importance of those desires, identifies engineering characteristics which may be relevant to those desires (How's), correlates the two, allows for ver ...
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Requirements
In product development and process optimization, a requirement is a singular documented physical or functional need that a particular design, product or process aims to satisfy. It is commonly used in a formal sense in engineering design, including for example in systems engineering, software engineering, or enterprise engineering. It is a broad concept that could speak to any necessary (or sometimes desired) function, attribute, capability, characteristic, or quality of a system for it to have value and utility to a customer, organization, internal user, or other stakeholder. Requirements can come with different levels of specificity; for example, a requirement specification or requirement "spec" (often imprecisely referred to as "the" spec/specs, but there are actually different sorts of specifications) refers to an explicit, highly objective/clear (and often quantitative) requirement (or sometimes, ''set'' of requirements) to be satisfied by a material, design, product, or serv ...
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Relative Value (economics)
In finance, relative value is the attractiveness measured in terms of risk, liquidity, and return of one financial instrument relative to another, or for a given instrument, of one maturity relative to another. The concept arises in economics, business and investment. In hedge funds The use of relative value is a method of determining an asset's value that takes into account the value of similar assets. In contrast, absolute value looks only at an asset's intrinsic value and does not compare it to other assets. Calculations that are used to measure the relative value of stocks include the enterprise ratio and price-to-earnings ratio. Prices Prices of valued items undergo questionable fluctuations. For example, even though housing provides the same utility to the individual over time, and the housing stock is relatively constant or stable, the relative price of housing fluctuates. This holds even more so with stocks, oil and gold. This price volatility appears to occur in cycles ...
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Thomas Saaty
Thomas L. Saaty (July 18, 1926 – August 14, 2017) was a Distinguished University Professor at the University of Pittsburgh, where he taught in the Joseph M. Katz Graduate School of Business. He is the inventor, architect, and primary theoretician of the Analytic Hierarchy Process (AHP), a decision-making framework used for large-scale, multiparty, multi-criteria decision analysis, and of the Analytic Network Process (ANP), its generalization to decisions with dependence and feedback. Later on, he generalized the mathematics of the ANP to the Neural Network Process (NNP) with application to neural firing and synthesis but none of them gain such popularity as AHP. He died on the 14th of August 2017 after a year-long battle with cancer. Prior to coming to the University of Pittsburgh, Saaty was professor of statistics and operations research at the Wharton School of the University of Pennsylvania (1969–79). Before that, he spent fifteen years working for U.S. government agencies ...
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