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Crowdsourcing and Probabilistic Decision-Making in Software Engineering

Probabilistic Decision-Making in Software Engineering: Emerging Research and Opportunities is a pivotal reference source that provides vital research on;

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Software Engineering Economics

software engineering, and utilizing economic analysis in software engineering decision making.;

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Foundations Of Decision-making Agents

, the symbolic argumentation approach to decision making developed in this book, combining logic and probability, offers several advantages;

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Fuzzy Decision Making Methods Based on Prospect Theory and Its Application in Ve

This book gives a thorough and systematic introduction to the latest research results about fuzzy decision-making method based on prospect;

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Fuzzy Decision Making Methods Based on Prospect Theory and Its Application in Ve

This book gives a thorough and systematic introduction to the latest research results about fuzzy decision-making method based on prospect;

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Decision Making Under Uncertainty

An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from;

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Analyzing Data Through Probabilistic Modeling in Statistics

, planning and scheduling, data extrapolation in decision making, probabilistic interpolation and extrapolation in simulation, stochastic processes;

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Decision Making under Constraints

algorithms and making these algorithms as efficient as possible; and (4) taking into account interval, probabilistic, and fuzzy uncertainty inherent;

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Decision Making under Constraints

algorithms and making these algorithms as efficient as possible; and (4) taking into account interval, probabilistic, and fuzzy uncertainty inherent;

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Requirements Engineering: Foundation for Software Quality

reviewed and selected from 64 submissions. The papers were organized in topical sections named: decision making in requirements engineering; open;

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Decision Modeling in Policy Management

decision making, concepts from game theory, outranking relations, and probabilistic influence diagrams.;

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Grand Timely Topics in Software Engineering

of software analysis, empirical research, modularity, and product lines. The tutorials/briefings cover probabilistic program analysis, ontologies;

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Probabilistic Methods for Financial and Marketing Informatics

capital decision making, operational risk measurement in any industry, credit scoring, and investment science. Unique coverage;

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Human-Centric Decision-Making Models for Social Sciences

incomplete probabilistic information, granular models of decision making and decision making realized with the use of non-additive measures. New;

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Mining Software Engineering Data for Software Reuse

software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effort;

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Mining Software Engineering Data for Software Reuse

software data residing in various repositories can be combined and used to enable effective decision making and save considerable time and effort;

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Crowdsourcing and Knowledge Management in Contemporary Business Environments

In an era of an economy based on knowledge and Web 2.0 technology, knowledge is the foundation for improving the decision-making processes;

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Crowdsourcing in the Public Sector

citizen participation in problem solving, setting priorities, and decision making. While crowdsourcing in the public sector holds much promise and;

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Sustainable Transportation and Smart Logistics

Sustainable Transportation and Smart Logistics: Decision-Making Models and Solutions provides deterministic and probabilistic models;

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Fundamental Approaches to Software Engineering

in topical sections named: concurrent and distributed systems; model-driven development; analysis and bug triaging; probabilistic and stochastic;

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Dependable Software Engineering. Theories, Tools, and Applications

of software technology. Its focus is on probabilistic and statistical analysis; timed and hybrid systems; program analysis; modeling and verification;

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Multi-Criteria Decision Analysis

decision making frameworks through a case-study based approach. Management of environmental and engineering projects is often complicated and;

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Value-Added Decision Making for Managers

Developed from the authors' longstanding course on decision and risk analysis, Value-Added Decision Making for Managers explores the;

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What Every Engineer Should Know About Decision Making Under Uncertainty

statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author;

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Leveraging the Wisdom of the Crowd in Software Testing

Its scale, flexibility, cost effectiveness, and fast turnaround are just a few reasons why crowdsourced testing has received so much;

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Leveraging the Wisdom of the Crowd in Software Testing

Its scale, flexibility, cost effectiveness, and fast turnaround are just a few reasons why crowdsourced testing has received so much;

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Statistical Software Engineering

content. While emphasizing the relevance of using rigorous statistical and probabilistic techniques in software engineering contexts, it presents;

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