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 referred to as ''digital product management'' or just ''product management'' depending on the context) is the discipline of building, implementing and managing digital products, taking into account life cycle, user interface and user experience design, use cases, and user audience. It governs the development cycle of 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.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. Computer hardware, Hardware and physical product companies may also need software product management, since software and digital systems are often part of the delivery, such as when providing operating systems, or supporti ...
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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 tree, 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 Time complexity#Linear time, linear with respect to the height of the tree. Binary search trees allow Binary search algorithm, 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_(computer_scientist), David Wheeler. The performance of a binary search tree is dependent on the order of insertion of the ...
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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 so ...
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MoSCoW Method
The MoSCoW method is a prioritization technique. It is used in software development, management, business analysis, and project management 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 dead ...
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Cumulative Voting
Cumulative voting (sometimes called the single divisible vote) is an election system where a voter casts multiple votes but can lump votes on a specific candidate or can split their votes across multiple candidates. The candidates elected are those receiving the largest number of votes cast in the election, up to the number of representatives to be elected. Cumulative voting can simplify strategic voting, by allowing larger groups of voters to elect multiple representatives by splitting their vote between multiple candidates. This removes the complexity associated with randomized or coordinated strategies. It may be thought of as a variant of block voting. Under both cumulative voting and block voting, a voter casts multiple votes but in the case of cumulative voting, can lump them all on one candidate (the equivalent of engaging in plumping). When voters do this, the result is similar to SNTV. When supporters of a minority candidate do this, they may be of sufficient stren ...
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